As you are aware, for all personnel having direct or indirect exposure to laboratory animals, the Public Health Service Policy on Humane Care and Use of Laboratory Animals IVA.1f requires Institutions involved in biomedical research to have an Occupational Health and Safety Program (OHSP) aimed at protecting the health of personnel who have direct or indirect exposure to laboratory animals. The Occupational Health and Safety Questionnaire that exists online via Sinai Central must be completed annually.
In an effort to facilitate annual renewals, a “Renew Button” has been introduced. The renew button will allow all members of the research team to:
- Submit the form ‘B’ to the Employee Health Service (EHS) annually for review
- ‘Renew’ option will be available for the life of the protocol (until final report is submitted).
If you have any questions regarding the Occupational Health and Safety program or the Questionnaire please contact the Employee Health Service (212-824-7014), the Biosafety Officer (212-241 -5169) or the IACUC Office at 212-241-0153.
To promote the use of Proteomics and Metabolomics by Mount Sinai researchers, the Dean’s CoREs and Research Resources Program is hosting a series of seminars to familiarize Icahn School of Medicine at Mount Sinai (ISMMS) users with these technologies and capabilities. Both Cores are supported through our collaboration with Stony Brook University. In February, we invited John Haley, PhD, Director of the Proteomics Center (SBU) who gave a presentation focusing on proteomics applications in cancer therapeutics. First in the series, Dr. Haley’s presentation was well received by the ISMMS researchers, particularly by the faculty involved in cancer research.
We are reaching out to you to increase the topics for Proteomics and/or Metabolomics to a wider audience. Please send us the names of additional speakers you would like to invite to speak on the use of these technologies and research applications. It would also be good to know if there are specific areas of research which we should focus on for speakers (Infectious Diseases, Immunology, etc.).
Finally, please let us know if you are planning to invite any particular speaker(s) in and we can discuss partnering with you to support the cost of the visit.
Thank you for your support of the collaboration between SBU and ISMMS as we seek to make this a useful resourceful for the entire ISMMS research community. Please email your response, comments, and questions about the Proteomics/Metabolomics Seminar Series to Dr. Shekhar Patil (firstname.lastname@example.org).
The Center for Comparative Medicine and Surgery (CCMS) is preparing to transition the TOPAZ Granite, software which manages the animal facility enterprise (i.e. animal orders, census, billing, etc.), to Topaz Elements. This updated software is web based and will continue to support the Web Animal Orders application through Sinai Central.
In addition to online animal ordering, this new product will offer the Icahn School of Medicine at Mount Sinai investigators the ability to view current census, accrued invoices, and other relevant information related to their vivarium supported research aims.
In order to adequately prepare our existing researchers for this transition, CCMS is excited to offer the below training opportunities.
Three hands on training sessions will be provided for each building (Annenberg, Icahn and Hess) over a three-week period. All the training sessions will take place in the Levy Library classrooms. The training sessions, date, time and room numbers are as follows:
||Levy Library Room|
Please select one of the above training sessions you plan to attend and RSVP by emailing Veronica Moses at email@example.com on or before Friday, March 9, 2018. As the training sessions will take place in a classroom setting, we will only be able to accommodate up to 20 people per session. As a result, we will schedule you based upon the order in which you RSVP.
If you cannot attend any of the above sessions, a link to a Topaz Elements training video will be available on CCMS’ website (http://icahn.mssm.edu/research/ccms) after the go live date (to be announced).
If you have any questions, please feel free contact Veronica Moses or the CCMS business office at 212-241-3008.
On March 1, 2017, the Office of Research Services (ORS) and the Research Information Technology Department launched the Research Listserv for research related mailings throughout the Mount Sinai Health System.
For the last year, it has served as a primary source of research related information for the Mount Sinai Health System (MSHS), sending out nearly 450 emails to our more than 4000 subscribers from throughout the system, many of whom may be unaware of their power to customize their subscription preferences according to their interests and roles in research.
Two of the Research Listserv’s founding goals were to provide choice to users and to limit duplicate blast emails. Therefore, it sends mailings out according to topic and subject, selections that can be made by a user at any time within the MSHS firewall by entering their email address under Research Listserv on the Getting Started page of the Research Web Portal. If a subscriber picks every list below, they can expect to get a broad range of announcements without duplication of individual mailings. Below are the lists from which subscribers can choose:
Human Subjects Research
- Guidance & Education
- Guidance & Education
- Guidance & Education
Grant Submission & Management
- Awards & Funding Opportunities
- Policies, Procedures & Education
- NIH and other Funding Agency News
- Guidance & Education
- Resources, Supplies & Equipment
- News & Status
It is vital that new research hires and any research personnel who are not getting these emails visit the Getting Started page on the Research Portal where they can find the Research Listserv box and enter their email address to join. Important research related announcements are made by the Dean’s Office as needed, and so please pass the word along. Once new members click on “Save Changes,” they are subscribed and will receive a confirmation email summarizing their selections.
Please feel free to open a ticket with the ORS Research 411 Portal’s Communications Support form for assistance with subscribing, if you have questions about the Research Listserv, or if you have a message that you need to send to the research community.
The Office of Research Services (ORS) serves as a central resource that provides navigation and consultations to Mount Sinai Health System researchers about research processes, resources and systems. Over the last few months, ORS has developed a new streamlined help desk ticketing system called the ORS Research 411 Portal to provide a single point of contact for research teams to ask any research operations related questions and access assistance with the consultative services that the ORS offers. These include, ClinicalTrials.gov registrations & reporting, IND & IDE application support, protocol development, training & education, recruitment, and multi-site study development & coordination. The Research 411 Portal is in the final stages of testing and it will be fully launched by June 2018. In the interim, please visit the ORS Research 411 Portal for your research needs. We welcome your feedback at firstname.lastname@example.org.
The Program for the Protection of Human Subjects (PPHS) has announced a March 14th event, at which members of the research community are asked to provide their opinions and expertise regarding the informed consent template that will become active in the near future. Stemming from their desire to update the template according to proposed changes to the Common Rule, this revision will address both the PPHS’ own concerns and the feedback provided in this open forum workshop.
For more information about the specific terms under consideration to review in preparation to participate, please view the PPHS Master Consent Template Revisions Workshop calendar event.
Announcements and updates about this forum will be made via the Research Listserv via the Human Subjects Research Events category. If you are not (or are not sure if you are) subscribed to this list, please enter your email under Research Listserv on the Research Portal Getting Started page (within the MSHS firewall) to check your current subscriptions and subscribe if needed.
The Grants and Contracts Office (GCO) is pleased to announce new staff additions and a promotion as well.
David Dalton joined the GCO team as a Grants Coordinator. David previously worked for the Program for the Protection of Human Subjects (PPHS) office for approximately 6 years where his primary responsibility was intake of electronic submissions. David’s GCO responsibilities include processing the intake of InfoEd applications and Sinai Central forms.
Sarah Sanders is a new Grants Specialist II for the GCO. Sarah previously was employed as a Subawards Manager at Columbia University. Notably, Sarah was a recipient of the Oprah Winfrey Fellowship for African Women in Public Service at the Wagner School of Public Service.
Edwin Berrios has been promoted to Grants Specialist I after 10 months of employment in the GCO as a Grants Coordinator. Grants Specialist responsibilities include reviewing projects for accurate administrative and budgetary information and compliance with extramural and institutional regulations.
Jennifer Oluoch-Kore has joined the group a Senior Contracts Specialist. Jennifer has over 5 years of experience as a subaward manager working at Engender Health Inc. and Columbia University. Contracts Specialist responsibilities include the review and negotiation of sponsored project agreements.
Please join us in welcoming our new staff and congratulating Edwin Berrios on his promotion.
In this introductory course offered by the Center for Biostatistics at the Icahn School of Medicine at Mount Sinai (ISMMS), participants will learn important basic concepts in machine learning with a series of hands-on training exercises using R and RStudio. Different machine learning training strategies will be explored and participants will learn all the most important algorithms used in the field, such as Random Forests and Support Vector Machines. The capabilities of R caret package will be utilized extensively and applications in genetics and genomics will be performed. At the end of the course, participants will implement a machine learning strategy and critically evaluate an algorithm’s performance in classification and regression problems.
Introduction to Machine Learning for Genetics & Genomics will be taught by Dr. Joel Correa da Rosa who holds a M.Sc. degree in Probability and Statistical Inference from State University of Campinas (Sao Paulo / Brazil) and a PhD in Decision Support Methods from the Pontifical Catholic University (PUC-Rio- Rio de Janeiro/Brasil). Dr. Correa da Rosa joined the faculty of the Population Health Science & Policy Department at the Icahn School of Medicine in 2017. His expertise includes data analysis, statistical programming, multivariate analysis, and machine learning methods for classification, regression and clustering.
PREREQUISITES: Introductory to intermediate programming proficiency in R and RStudio; Basic foundation in statistical modelling (e.g. linear regression).
WHEN: Friday, March 30, 2018 from 9:00 am to 5:00 pm
Mount Sinai Annenberg Building
1468 Madison Avenue
New York, NY
REGISTRATION: To register for the course and pay the $375 tuition fee, go to: http://bit.ly/2BOje7i
The Master of Science in Biostatistics Program is pleased to announce the following courses that will take place in the Spring II term, beginning Monday April 2nd and ending Friday June 22nd.
BIO9001 – Applied Analysis of Healthcare Databases (3 credits) – Lecture: Thursdays 4:00 to 6:00 pm; Lab: Thursdays 6:00 to 7:00 pm; Course Director: Natalia Egorova
This course will prepare students to identify and use national and local healthcare databases in their own research. Students will evaluate published database studies, complete programming exercises with SAS statistical software and hands-on access to a large database, and prepare a proposal for analyzing a specific research question using a large healthcare database.
BIO9100 – Survival Analysis (3 credits) – Lecture: Wednesdays 3:00 to 5:00 pm; Lab: Tuesdays 3:00 – 4:00 pm; Course Director: Umut Ozbek
This course describes the analysis of time-to-event data. Several concepts of censoring are introduced, as are functions used to describe survival distributions. Both parametric and nonparametric methods to describe and compare survival distributions are given. Cox regression is studied including the assumptions required, examining the validity of these assumptions, and dealing with time dependent covariates. Interval censored data are explored, as well as the analysis of multiple failures. Analyzing data sets will be required.
BIO9200 – Analysis of Longitudinal Data (3 credits) – Lecture: Mondays 4:00 – 6:00 pm; Lab: Tuesdays 4:00 – 5:00 pm; Course Director: Mayte Suarez-Farinas
The aim of this course is to provide systematic training in both the theoretical foundations and the model building strategies of linear regression models for students who have already had some data analysis experience. Modern approaches to the analysis of longitudinal data are presented. The course is organized as a two-hour lecture in which the statistical methodology for longitudinal data is discussed and a one-hour lab in which R will be used to perform analysis of actual data.
BIO9002 – Race and Causal Inference Seminar (1 Credit) – Thursdays 1:00 – 3:00 pm; Course Director: Dr. Emma Benn
In this course, we will question the operationalization of race as a “cause” when examining racial disparities in health from a statistical framework grounded in the underlying theories of causal inference. By the end of this course, students will have gained a unique set of knowledge that they can use to: 1) more critically scrutinize the traditional approaches to investigating disparities in health (not just specific to race), and 2) apply a more nuanced inferential, rather than descriptive, approach to future work in the disparities arena that will move us closer to finding efficacious interventions.