{"id":4502,"date":"2023-08-28T17:00:27","date_gmt":"2023-08-28T21:00:27","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/tcibci\/?page_id=4502"},"modified":"2025-01-08T13:02:35","modified_gmt":"2025-01-08T18:02:35","slug":"publications","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/tcibci\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”Fullwidth Header – Background Title Description – no slider – Section 1 ” module_class=”header-title-desciption-no-slider-section1″ _builder_version=”4.9.0″ _module_preset=”default” background_color=”#221F72″ background_image=”https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-content\/uploads\/sites\/505\/2023\/10\/letters-6638774_640-2.jpg” parallax=”on” custom_padding=”||||false|false” bottom_divider_style=”ramp2″ bottom_divider_color=”#FFFFFF” bottom_divider_height=”11vw” bottom_divider_arrangement=”above_content” background_last_edited=”on|desktop” saved_tabs=”all” locked=”off” collapsed=”off”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” border_color_all=”RGBA(0,0,0,0)”][et_pb_column type=”1_2″ _builder_version=”4.9.0″ _module_preset=”default” custom_padding=”10%||8vw||false|false” custom_padding_tablet=”0vw||0vw||true|false” custom_padding_phone=”” custom_padding_last_edited=”on|tablet”][et_pb_text admin_label=”Text – Title” _builder_version=”4.9.0″ _module_preset=”b3e3ff14-5f5c-4608-8ecf-1885ce3da7aa” header_font=”||||||||” header_text_color=”#FFFFFF” header_font_size=”48px” header_line_height=”60px” custom_margin=”||10px||false|false” header_font_size_tablet=”40px” header_font_size_phone=”24px” header_font_size_last_edited=”on|desktop”]<\/p>\n

Publications<\/strong><\/h1>\n

[\/et_pb_text][et_pb_text admin_label=”Text – Description” _builder_version=”4.9.0″ _module_preset=”da86b6f0-f83c-4c7c-bdd8-3019777ddffe” text_font=”||||||||” text_text_color=”#FFFFFF” text_font_size=”20px” text_line_height=”32px” hover_enabled=”0″ text_font_size_tablet=”15px” text_font_size_phone=”14px” text_font_size_last_edited=”on|desktop” sticky_enabled=”0″]<\/p>\n

Our statisticians contribute significantly to many publications. Here we provide a limited selection of those publications. Find a complete list of TCI-BSR publications here<\/a>.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.9.0″ _module_preset=”default” custom_margin=”||-10px||false|false”][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” header_text_color=”#00a6e5″ hover_enabled=”0″ locked=”off” sticky_enabled=”0″]<\/p>\n

We categorize TCI-BSR publications as follows:<\/h1>\n

[\/et_pb_text][et_pb_menu menu_id=”30″ menu_style=”centered” active_link_color=”#D80B8C” _builder_version=”4.9.0″ _module_preset=”default” menu_text_color=”#D80B8C” menu_font_size=”16px” hover_enabled=”0″ locked=”off” sticky_enabled=”0″][\/et_pb_menu][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n

*TCI-BSR authors are bolded*<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” admin_label=”Section 28 – Blog Style Publications” module_class=”section28_blog_style_publications” _builder_version=”4.9.0″ background_color=”#FFFFFF” background_image=”https:\/\/labs.icahn.mssm.edu\/ferketlab\/wp-content\/uploads\/sites\/505\/2022\/10\/Background-1.png” parallax=”on” parallax_method=”off” custom_margin=”-125px||||false|false” custom_padding=”100px||||false|false” global_module=”2511″ saved_tabs=”all” locked=”off” collapsed=”off”][et_pb_row _builder_version=”4.9.0″ _module_preset=”default” hover_enabled=”0″ sticky_enabled=”0″][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Investigator-Initiated Trials” module_id=”IIT” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Investigator-Initiated Trials<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Pan, D 2022″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Pan, D., … Moshier, E. L.<\/strong>, … & Chari, A. (2022).<\/em><\/p>\n

Filanesib plus bortezomib and dexamethasone in relapsed\/refractory t(11;14) and 1q21 gain multiple myeloma<\/strong>.<\/p>\n

Cancer Medicine<\/span><\/p>\n

Key words: Dose-escalation<\/span><\/p>\n

Cancer Center Support Grant program: CCI<\/a><\/p>\n

Disease Focus Group: Hematology<\/p>\n

PubMed<\/a><\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Rosen 2022″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Rosen, D. C., … Moshier, E<\/strong>., … & Mehrazin, R. (2022).<\/em><\/p>\n

Robot-assisted vs ultrasonography-guided transversus abdominis plane (TAP) block vs local anaesthesia in urology: results of the UROTAP randomized trial.<\/strong><\/p>\n

BJU International<\/span><\/p>\n

Key words:\u00a0<\/span><\/p>\n

Cancer Center Support Grant program: CCI<\/a><\/p>\n

Disease Focus Group: Genitourinary<\/p>\n

PubMed<\/a><\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Buckstein, M., … \u00d6zbek, U.<\/strong>, … & Schwartz, M. (2022).<\/em><\/p>\n

Combination Transarterial Chemoembolization and Stereotactic Body Radiation Therapy for Unresectable Single Large Hepatocellular Carcinoma: Results From a Prospective Phase 2 Trial.<\/strong><\/p>\n

International journal of radiation oncology, biology, physics<\/p>\n

Key words:\u00a0<\/span><\/p>\n

Cancer Center Support Grant program: CCI<\/a>,CI<\/a><\/p>\n

Disease Focus Group: Liver<\/p>\n

PubMed<\/a><\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Differential Network Analysis for -omics Data” module_id=”Omics” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Differential Network Analysis for -Omics Data<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Ahn 2023 a pseudo value..” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/36624383\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Ahn, S.<\/strong>, Grimes, T., Datta, S. (2023).<\/em><\/p>\n

A Pseudo-Value Regression Approach for Differential Network Analysis of Co-Expression Data.<\/strong><\/p>\n

BMI Bioinformatics<\/p>\n

Key words: differential co-expression network analysis; gene regulatory network; RNA-Seq data<\/span><\/span>\u00a0<\/span><\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Ahn 2023 Differential Co-Abundance” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/27269939\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Ahn, S.<\/strong>, Datta, S. (2023).<\/p>\n

Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values<\/strong><\/p>\n

ArXiv [Preprint].<\/p>\n

Key words: differential network analysis; microbial co-abundance network; regression modeling<\/span><\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Zhang X 2023″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/27269939\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Zhang, X., Ahn, S.<\/strong>, Qiu, P., Datta, S. (2023). <\/em><\/p>\n

Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis<\/strong><\/p>\n

Frontiers in Genetics<\/p>\n

Key words: SARS-CoV-2; differential network analysis, pathway analysis, differential expression analysis;\u00a0RNA-Seq data<\/span><\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”EPIC EMR Data Analytics” module_id=”EPIC” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

EPIC EMR Data Analytics<\/h1>\n

 <\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Del Valle 2020″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/30657403\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Del Valle, D. M. …\u00a0Mazumdar ,M.<\/strong>, … & Gnjatic, S. (2020).<\/em><\/p>\n

An inflammatory cytokine signature predicts COVID-19 severity and survival<\/strong><\/p>\n

Nature Medicine<\/p>\n

Key words: Real World data, Survival Analysis<\/span><\/span><\/p>\n

Cancer Center Support Grant program: CI<\/a><\/p>\n

Disease Focus Group: Cancer immunology<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Joshi 2021″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/34243048\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Joshi, H<\/strong>., …\u00a0Mazumdar, M.<\/strong>, … & Bickell, N. A. (2021).\u00a0<\/em><\/p>\n

Multiple myeloma, race, insurance and treatment.<\/strong><\/p>\n

Cancer Epidemiology<\/p>\n

Key words: Healthcare Disparities, Unintended Consequences of Health Policy, Survival Analysis<\/span><\/p>\n

Cancer Center Support Grant program: CPC<\/a><\/p>\n

Disease Focus Group: Myeloma<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Friedman, J. I., Li, L. 2021″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Friedman, J. I., Li, L.,<\/strong> … Zhong, X.,<\/strong> … Craven, C. K.,<\/strong> Mazumdar, M<\/strong>., & Siu, A. L. (2021).<\/p>\n

A Multi-Phase Quality Improvement Initiative for the Treatment of Active Delirium in Older Persons.\u00a0<\/em><\/p>\n

Journal of the American Geriatrics Society<\/em><\/p>\n

Key words: Delirium prevention\u00a0<\/span><\/p>\n

Cancer Center Support Grant program: CPC<\/a><\/p>\n

Disease Focus Group: Delirium<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Emerging Methodologies ” module_id=”EM” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Use of Emerging Methodologies<\/span><\/span>\u00a0<\/span><\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Niu, L” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/33417490\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Niu, L., Hu, L., Li, Y<\/strong>., & Liu, B. (2022).<\/p>\n

Correlates of cancer prevalence across census tracts in the United States: A Bayesian machine learning approach.<\/strong><\/p>\n

Spatial and Spatio-temporal Epidemiology<\/span><\/p>\n

Key words: Machine Learning\u00a0<\/span><\/span><\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Caba 2021″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/34056540\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Martini, A., …\u00a0 Joshi, H<\/strong>., … & Galsky, M. D. (2022)<\/p>\n

Adjuvant immunotherapy in patients with high-risk muscle-invasive urothelial carcinoma: The potential impact of informative censoring.<\/strong><\/p>\n

Cancer<\/p>\n

Key words: Survival analysis<\/span><\/p>\n

Cancer Center Support Grant program: CPC<\/a><\/p>\n

Disease Focus Group:<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Li, L., Zhan, 2023″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Li, L., Zhan, S<\/strong>., Mckendrick, K., Yang, C., Mazumdar<\/strong>, M.<\/strong>, Kelley, A. S., & Aldridge, M. D. (2023).<\/p>\n

Examining annual transitions in healthcare spending among U.S. medicare beneficiaries using multistate Markov models: Analysis of medicare current beneficiary survey data<\/strong><\/p>\n

Preventive medicine reports<\/em><\/p>\n

Key words: Multistate Markov model, Healthcare costs, Medicare current beneficiary survey\u00a0<\/span><\/p>\n

Cancer Center Support Grant program: CPC<\/a><\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Health Disparities” module_id=”HD” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Health Disparities<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Mazor 2022″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Mazor, M. B., Li, L.,<\/strong> … & Smith, C. B. (2022). <\/em><\/p>\n

Disparities in Supportive Care Needs Over Time Between Racial and Ethnic Minority and Non-Minority Patients With Advanced Lung Cancer.<\/strong><\/p>\n

J. Pain Symptom Manag<\/span><\/p>\n

Key words<\/span>: <\/span>Lung neoplasms, <\/span>palliative care, <\/span>health equity, <\/span>supportive oncology<\/span><\/p>\n

Cancer Center Support Grant program<\/span>: CPC<\/a><\/p>\n

Disease Focus Group:<\/span> Lung<\/p>\n

PubMed<\/a><\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Frydman” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Frydman, J. L., Berkalieva, A<\/strong>., Liu, B., Scarborough, B. M., Mazumdar, M.,<\/strong> & Smith, C. B. (2022).<\/em><\/p>\n

Telemedicine Utilization in the Ambulatory Palliative Care Setting: Are There Disparities?<\/strong><\/p>\n

J. Pain Symptom Manag<\/span><\/p>\n

Key words:<\/span> Supportive oncology; ambulatory palliative care; disparities; telemedicine<\/span><\/p>\n

Cancer Center Support Grant program:<\/span> CPC<\/a><\/p>\n

PubMed<\/a><\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Joshi 2021″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Joshi, H<\/strong>., … Mazumdar, M.<\/strong>, … & Bickell, N. A. (2021)<\/em><\/p>\n

Multiple myeloma, race, insurance and treatment.<\/strong><\/p>\n

Cancer epidemiology<\/i>,<\/p>\n

Key words<\/span>: \u00a0<\/strong>Induction therapy; Multiple myeloma; Patient outcome; Sociodemographic disparities.<\/span><\/p>\n

Cancer Center Support Grant program:<\/span> CCI<\/a> \/ CPC<\/a><\/p>\n

Disease Focus Group:<\/span> Myeloma<\/p>\n

PubMed<\/a><\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Machine Learning” module_id=”ML” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Machine Learning Model Evaluation and Implementation Research<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Timsina 2021″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/32701397\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Timsina, P., Joshi, H. N.<\/strong>, …\u00a0Mazumdar, M.,<\/strong> … & Kia, A. (2021).<\/em><\/p>\n

MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities<\/strong><\/p>\n

Journal of the American College of Nutrition<\/p>\n

Key words<\/span>: Malnutrition universal screening tool; hospital medicine; machine learning; random forest.<\/span><\/span>\u00a0<\/span><\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Besculides 2023″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/37440303\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Besculides, M.,<\/strong> Mazumdar, M.<\/strong>, …\u00a0Joshi, H<\/strong>., …, & Gorbenko, K. (2023).<\/em><\/p>\n

Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning-Based Clinical Decision Support Systems.<\/strong><\/p>\n

JMIR Formative Research<\/p>\n

Key words:<\/span> <\/span>AI; CDSS; acceptability; clinical; data; decision-making; effectiveness; evaluation; machine learning; malnutrition; nutrition; screening; tool; treatment; usability.<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Pramathamesh” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Pramathamesh, P., Besculides, M.<\/strong>, …\u00a0Mazumdar, M.<\/strong>, Kia, A. (2024). <\/em><\/p>\n

Malnutrition risk assessment using a machine learning-based screening tool: A multi-center retrospective cohort<\/strong><\/p>\n

Journal of Human Nutrition and Dietetics (Under Review)<\/p>\n

Key words: malnutrition, evaluation, usability\/acceptance, implementation, machine learning, AI<\/p>\n

PubMed<\/b><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Large Administrative Database Studies” module_id=”LADS” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Large Administrative Database Studies<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Agarwal 2018″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/30657403\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Agarwal P<\/strong>, Moshier E<\/strong>\u00a0… Mazumdar M.<\/strong> (2018)<\/em><\/p>\n

\u00a0Immortal Time Bias in Observational Studies of Time-to-Event Outcomes: Assessing Effects of Postmastectomy Radiation Therapy Using the National Cancer Database.<\/strong><\/p>\n

Cancer Control<\/p>\n

Key words: Proportional Hazards Models, Survival Analysis<\/span><\/span><\/p>\n

Cancer Center Support Grant program: CCI<\/a><\/p>\n

Disease Focus Group: Breast<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Galsky et al 2016″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/27269939\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Galsky MD … Moshier E <\/strong>… Mazumdar<\/strong> M<\/b>, Wisnivesky JP. (2016)<\/em><\/p>\n

Effectiveness of Adjuvant Chemotherapy for Locally Advanced Bladder Cancer<\/strong><\/p>\n

Journal of Clinical Oncology<\/p>\n

Key words<\/span>: Comparative Effectiveness Research<\/span>\u00a0<\/span><\/p>\n

Cancer Center Support Grant program:<\/span> CCI<\/a><\/p>\n

Disease Focus Group:<\/span> Bladder<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Zeidman 2021″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Zeidman M … Mazumdar M<\/strong> … Moshier E, <\/strong>Port E.\u00a0 (2021)<\/em><\/p>\n

Trends in neoadjuvant chemotherapy versus surgery-first in stage I HER2-positive breast cancer patients in the National Cancer DataBase (NCDB).\u00a0<\/strong><\/p>\n

Breast Cancer Research and Treatment<\/p>\n

Key words:<\/span> Comparative Effectiveness Research\u00a0<\/span><\/p>\n

Cancer Center Support Grant program<\/span>: CCI<\/a><\/p>\n

Disease Focus Group<\/span>: Breast<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Observational Studies” module_id=”OS” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Observational Studies<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Shah” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Shah, U. A., Moshier, E. L<\/strong>., \u2026 Gallagher, E. J. (2023).<\/em><\/p>\n

\u00a0Prevalence and impact of diabetes on survival of patients with multiple myeloma in different racial groups<\/strong><\/p>\n

Blood Advances<\/p>\n

Key words:<\/span> survival analysis, mice models<\/span><\/span><\/p>\n

Cancer Center Support Grant program:<\/span> CCI<\/a> \/ CI<\/a><\/p>\n

Disease Focus Group:<\/span> Myeloma<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Martins Maia, C.,” _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Martins Maia, C., … Moshier, E.<\/strong>, … & Schmidt, H. (2022).<\/em><\/p>\n

Mastectomy or Margin Re-excision? A Nomogram for Close\/Positive Margins After Lumpectomy for DCIS<\/strong><\/p>\n

Annals of surgical oncology<\/p>\n

Key words:<\/span> Nomogram validation, logistic regression<\/span><\/span><\/p>\n

Cancer Center Support Grant program:<\/span> CCI<\/a><\/p>\n

Disease Focus Group<\/span>: Breast<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Wu 2018″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Wu, V., Moshier, E<\/strong>., … Mazumdar, M<\/strong>., & Chari, A. (2018).<\/p>\n

Risk stratification of smoldering multiple myeloma: predictive value of free light chains and group-based trajectory modeling.<\/strong><\/p>\n

Blood Advances<\/p>\n

Key words:<\/span> disease progression, risk assessment\u00a0<\/span><\/span><\/p>\n

Cancer Center Support Grant program:<\/span> CCI<\/a> \/ CI<\/a><\/p>\n

Disease Focus Group:<\/span> Myeloma<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Proteogenomic Data Analysis” module_id=”PDS” _builder_version=”4.9.0″ _module_preset=”default”]<\/p>\n

Proteogenomic Data Analysis<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Song X 2023″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/36929082\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Ahuno ST … Song X<\/strong>, … Ghana Breast Health Study Team (2021)<\/em><\/p>\n

\u00a0Circulating tumor DNA is readily detectable among Ghanaian breast cancer patients supporting non-invasive cancer genomic studies in Africa.\u00a0<\/strong><\/p>\n

NPJ Precision Oncology<\/p>\n

Key words: Cancer genomics<\/span><\/span><\/p>\n

Cancer Center Support Grant program: CM<\/a><\/p>\n

Disease Focus Group: Breast<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Chowdhury 2023″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/37541199\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Chowdhury, S., …\u00a0Song X<\/strong>, Petralia, F.<\/strong>, … & Paulovich, A. G. (2023)<\/em><\/p>\n

Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer<\/strong><\/p>\n

Cell<\/p>\n

Key words:\u00a0<\/span><\/p>\n

Cancer Center Support Grant program: CPC<\/a><\/p>\n

Disease Focus Group: Ovarian<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Petralia F 2020″ _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”14px” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/pubmed.ncbi.nlm.nih.gov\/33242424\/” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n

Petralia, F<\/strong>, …Song, X.<\/strong>, & Children\u2019s Brain Tumor Network (2020)<\/em><\/p>\n

Clinical Proteomic Tumor Analysis Consortium. Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer<\/strong><\/p>\n

Cell<\/p>\n

Key words:\u00a0<\/span><\/p>\n

Cancer Center Support Grant program: CPC<\/a><\/p>\n

Disease Focus Group: Brain<\/p>\n

PubMed<\/b><\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_menu menu_id=”30″ menu_style=”centered” active_link_color=”#D80B8C” _builder_version=”4.9.0″ _module_preset=”default” menu_text_color=”#D80B8C” menu_font_size=”16px” locked=”off”][\/et_pb_menu][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.9.0″ _module_preset=”default” collapsed=”on”][et_pb_row _builder_version=”4.9.0″ _module_preset=”default” collapsed=”off”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_button button_url=”https:\/\/labs.icahn.mssm.edu\/tcibci\/publication-list\/” button_text=”Complete Publication List” button_alignment=”center” _builder_version=”4.9.0″ _module_preset=”default”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”on|on|on” admin_label=”Footer – Section 13″ module_class=”footer-section” _builder_version=”4.9.0″ background_color=”#c7eafb” background_image=”https:\/\/labs.icahn.mssm.edu\/ferketlab\/wp-content\/uploads\/sites\/505\/2022\/10\/Rectangle-3.png” max_width=”80%” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” module_alignment=”center” custom_margin=”100px|||176px|false|false” custom_padding=”3px|0px|40px|0px||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”14%” animation_starting_opacity=”100%” disabled=”on” global_module=”425″ saved_tabs=”all” locked=”off” collapsed=”on”][et_pb_row _builder_version=”4.9.0″ background_color=”RGBA(0,0,0,0)” background_color_gradient_direction=”38deg” module_alignment=”center” custom_margin=”|auto||147px||” locked=”off”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_social_media_follow _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” text_orientation=”center”][et_pb_social_media_follow_network social_network=”linkedin” url=”https:\/\/www.linkedin.com\/school\/icahnmountsinai\/%20″ use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on”]linkedin[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”facebook” url=”https:\/\/www.facebook.com\/IcahnMountSinai” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on”]facebook[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”twitter” url=”https:\/\/twitter.com\/icahnmountsinai” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on”]twitter[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”youtube” url=”https:\/\/www.youtube.com\/user\/MountSinaiSchool” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on”]youtube[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”instagram” url=”https:\/\/www.instagram.com\/icahnmountsinai\/” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on”]instagram[\/et_pb_social_media_follow_network][\/et_pb_social_media_follow][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_text_color=”#FFFFFF” text_font_size=”24px”]<\/p>\n

Contact Us<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ background_color=”RGBA(0,0,0,0)” background_color_gradient_direction=”38deg” module_alignment=”center” custom_margin=”|auto|-2px|auto||” custom_padding=”0px|||||” locked=”off”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”22px”]<\/p>\n

Contact Us
<\/a><\/span>Recent News
<\/a>Alumni
<\/a>Researchers
<\/a>Gallery
<\/a>Resources
<\/a>Submit Inquiry
<\/a>Resources
<\/a>Lab Trials
Accessibility<\/a><\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”1.25em” header_font=”||||||||” header_4_font=”|700||on|||||” header_4_font_size=”16px” header_4_letter_spacing=”1px” header_4_line_height=”1.5em” background_layout=”dark” locked=”off”]<\/p>\n

E-mail
<\/strong>labname@mssm.edu<\/p>\n

Phone
<\/strong>Tel: 555-555-5555<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”1.25em” header_font=”||||||||” header_4_font=”|700||on|||||” header_4_font_size=”16px” header_4_letter_spacing=”1px” header_4_line_height=”1.5em” background_layout=”dark” locked=”off”]<\/p>\n

Lab Address <\/strong>
One Gustave L. Levy Place
Annenberg
New York, NY 10029<\/p>\n

Mailing Address <\/strong><\/p>\n

Lab Name
Icahn School of Medicine
at Mount Sinai
One Gustave L. Levy Place
<\/span>Annenberg
<\/span>New York, NY 10029<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” admin_label=”Footer Fullwidth – Section 13″ module_class=”footer-section” _builder_version=”4.9.0″ background_color=”#c7eafb” background_image=”https:\/\/labs.icahn.mssm.edu\/ferketlab\/wp-content\/uploads\/sites\/505\/2022\/10\/Rectangle-3.png” max_width=”100%” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” module_alignment=”center” custom_margin=”100px|||176px|false|false” custom_padding=”3px|0px|0px|0px|false|false” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”14%” animation_starting_opacity=”100%” global_module=”3741″ saved_tabs=”all” locked=”off” collapsed=”off”][et_pb_row _builder_version=”4.9.0″ background_color=”RGBA(0,0,0,0)” background_color_gradient_direction=”38deg” module_alignment=”center” custom_margin=”|auto||147px||” locked=”off” collapsed=”off”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_social_media_follow _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” text_orientation=”center”][et_pb_social_media_follow_network social_network=”linkedin” url=”https:\/\/www.linkedin.com\/school\/icahnmountsinai\/%20″ use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on” follow_button=”off” url_new_window=”on”]linkedin[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”facebook” url=”https:\/\/www.facebook.com\/IcahnMountSinai” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on” follow_button=”off” url_new_window=”on”]facebook[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”twitter” url=”https:\/\/twitter.com\/icahnmountsinai” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on” follow_button=”off” url_new_window=”on”]twitter[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”youtube” url=”https:\/\/www.youtube.com\/user\/MountSinaiSchool” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on” follow_button=”off” url_new_window=”on”]youtube[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=”instagram” url=”https:\/\/www.instagram.com\/icahnmountsinai\/” use_icon_font_size=”on” icon_font_size=”24px” _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” background_enable_color=”on” follow_button=”off” url_new_window=”on”]instagram[\/et_pb_social_media_follow_network][\/et_pb_social_media_follow][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_text_color=”#FFFFFF” text_font_size=”24px”]<\/p>\n

Contact Us<\/strong><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.9.0″ background_color=”RGBA(0,0,0,0)” background_color_gradient_direction=”38deg” module_alignment=”center” custom_margin=”|auto|-2px|auto||” custom_padding=”0px|||||” locked=”off” collapsed=”off”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”22px”]<\/p>\n

Contact Us
<\/a><\/span>Recent News
<\/a>Alumni
<\/a>Researchers
<\/a>Gallery
<\/a>Resources
<\/a>Submit Inquiry
<\/a>Resources
<\/a>Lab Trials
Accessibility<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”1.25em” link_text_color=”#fff60c” header_font=”||||||||” header_4_font=”|700||on|||||” header_4_font_size=”16px” header_4_letter_spacing=”1px” header_4_line_height=”1.5em” background_layout=”dark” locked=”off”]<\/p>\n

E-mail
<\/strong>Erin.Moshier@mountsinai.org<\/p>\n

Request Services
<\/strong>Submit Request<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”1.25em” header_font=”||||||||” header_4_font=”|700||on|||||” header_4_font_size=”16px” header_4_letter_spacing=”1px” header_4_line_height=”1.5em” background_layout=”dark” locked=”off”]<\/p>\n

Address <\/strong>
Icahn School of Medicine at Mount Sinai
1425 Madison Avenue, 2nd Floor, Room L2-70
New York, NY 10029<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

PublicationsOur statisticians contribute significantly to many publications. Here we provide a limited selection of those publications. Find a complete list of TCI-BSR publications here.We categorize TCI-BSR publications as follows:*TCI-BSR authors are bolded*Investigator-Initiated TrialsPan, D., … Moshier, E. L., … & Chari, A. (2022). Filanesib plus bortezomib and dexamethasone in relapsed\/refractory t(11;14) and 1q21 gain multiple […]<\/p>\n","protected":false},"author":638,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-4502","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/pages\/4502","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/users\/638"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/comments?post=4502"}],"version-history":[{"count":120,"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/pages\/4502\/revisions"}],"predecessor-version":[{"id":7700,"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/pages\/4502\/revisions\/7700"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/tcibci\/wp-json\/wp\/v2\/media?parent=4502"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

CCSG Program: CPC<\/a><\/p>\n