Scientific Computing and Data / High Performance Computing / Publications / Kovatch Publications

Publications Authored & Co-Authored by Patricia Kovatch, Dean of Scientific Computing and Data

• Contrastive Transformer-Driven Discovery of Temporal Hemodynamic Subphenotypes in Cardiac Surgery Patients. (Mar 2026) JM Desman, M Sabounchi, W Oh, G Kumar, … P Kovatch, … GN Nadkarni, A Sakhuja. Preprint.
• Evaluating Sycophancy in Frontier Models Using Persona-Driven Challenge. (May 2026) NS Hazare, N Goel, C Yu, S Agaron, A Sharma, P Parchure, D Patel, P Timsina, B Kaplan, J Lampert, A Vakil, P Kovatch, B Darrow, BS Glicksberg, A Charney, GN Nadkarni, A Sakhuja. medRxiv preprint, May 20, 2026. DOI: 10.64898/2026.05.17.26353406.
• Multidimensional Assurance of an Electronic Health Record Embedded Generative Artificial Intelligence Summarization Tool. (Sept 2026) P Bodanki, C Capone, NS Hazare, S Agaron, M Vijayaraghavan, S Japa, I Zaretsky, J Epstein, AS Sawant, A Shaikh, E Leibner, A Sharma, S Gangadharan, T Ghani, HH Tai, D Ngai, S El-Haj, P Parchure, A Itwaru, B Kaplan, A Vakil, R Tamler, A Klein, R Freeman, P Kovatch, B Darrow, J McGreevy, L Stump, GN Nadkarni, P Timsina, A Sakhuja. medRxiv preprint, Sept. 7, 2026. DOI: 10.64898/2026.08.31.26361660.
• Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiograms. (Jan 2026) A Vaid, J Sharma, J Jiang, J Lampert, AS Sawant, E Argulian, S Lerakis, P Tandon, P Kovatch, C Powell, CB Cairns, GN Nadkarni, M Kraft.
  eBioMedicine, 123, 106066. DOI: 10.1016/j.ebiom.2025.106066.
• Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis. (Jan 2026) M Omar, V Sorin, LH Wieler, AW Charney, P Kovatch, CR Horowitz, P Korfiatis, BS Glicksberg, R Freeman, GN Nadkarni, E Klang.
  The Lancet Digital Health, 8(1), 100949. DOI: 10.1016/j.landig.2025.100949.
• The development of the Human Health Exposure Analysis Resource (HHEAR) Data Repository for environmental epidemiology research. (Jan 2026 issue; published online Nov 29, 2025) JA Stingone, S Bengoa, C Valle, J Masters, T Cadenhead, A Rabin, P Pinheiro, M Bixby, M Mazzella, E Spear, H Santos, C Gennings, D McGuinness, P Kovatch, N Mervish, SL Teitelbaum.
• The AIR·MS data platform for artificial intelligence in healthcare. (Dec 2025) P Guerrero, M Ernebjerg, T Holst, D Weese, H Dibello, S Ibing, L Schmidt, R Ungaro, B Renard, C Lippert, E Alleva, TD Quinn, P Kovatch, EM Antao, E Heyneke, A Rasheed, S Kalabakov, B Arnrich, A Charney, LH Wieler, G Nadkarni.
  JAMIA Open, 8(6), ooaf145. DOI: 10.1093/jamiaopen/ooaf145.
• Personalized Fluid Management in Patients with Sepsis and Acute Kidney Injury: A Causal Machine Learning Approach. (Dec 2025) W Oh, K Takkavatakarn, Z Al-Taie, H Kittrell, K Shawwa, H Gomez, AS Sawant, P Tandon, G Kumar, M Sterling, I Hofer, L Chan, J Oropello, R Kohli-Seth, AW Charney, M Kraft, P Kovatch, M Suárez-Fariñas, JA Kellum, GN Nadkarni, A Sakhuja.
  Critical Care Explorations, 7(12), e1354. DOI: 10.1097/CCE.0000000000001354.
• Identifying Bias at Scale in Clinical Notes Using Large Language Models. (Dec 2025) DU Apakama, KAN Nguyen, D Hyppolite, S Soffer, A Mudrik, E Ling, A Moses, I Temnycky, A Glasser, R Anderson, P Parchure, E Woullard, M Edalati, L Chan, C Kronk, R Freeman, A Kia, P Timsina, MA Levin, R Khera, P Kovatch, AW Charney, BG Carr, LD Richardson, CR Horowitz, E Klang, GN Nadkarni.
  Mayo Clinic Proceedings: Digital Health, 3(4), 100296. DOI: 10.1016/j.mcpdig.2025.100296.
• InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. (Dec 2025) J Kauffman, E Holmes, A Vaid, AW Charney, P Kovatch, J Lampert, A Sakhuja, M Zitnik, BS Glicksberg, I Hofer, GN Nadkarni.
  Nature Communications, 16, 8475. DOI: 10.1038/s41467-025-63366-6.
• The development of the Human Health Exposure Analysis Resource (HHEAR) Data Repository for environmental epidemiology research. (Nov 2025 / Jan 2026 issue) JA Stingone, S Bengoa, C Valle, J Masters, T Cadenhead, A Rabin, P Pinheiro, M Bixby, M Mazzella, E Spear, H Santos, C Gennings, D McGuinness, P Kovatch, N Mervish, SL Teitelbaum.
  Environment International, 207, 109967. DOI: 10.1016/j.envint.2025.109967.
• A scalable framework for benchmark embedding models in semantic health-care tasks. (Sept 2025) S Soffer, M Omar, M Gendler, BS Glicksberg, P Kovatch, O Efros, R Freeman, AW Charney, GN Nadkarni, E Klang.
  Journal of the American Medical Informatics Association.
• InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. (Sept 2025) J Kauffman, E Holmes, A Vaid, AW Charney, P Kovatch, J Lampert, A Sakhuja, M Zitnik, BS Glicksberg, I Hofer, GN Nadkarni.
  Nature Communications, 16, 8475. Published Sept. 26, 2025. DOI: 10.1038/s41467-025-63366-6.
• A foundational transformer leveraging full night, multichannel sleep study data accurately classifies sleep stages. (Aug 2025) B Fox, J Jiang, S Wickramaratne, P Kovatch, M Suarez-Farinas, NA Shah, A Parekh, GN Nadkarni.
  Sleep, 48(8). DOI: 10.1093/sleep/zsaf061.
• A distributional reinforcement learning model for optimal glucose control after cardiac surgery. (May 2025) JM Desman, ZW Hong, M Sabounchi, AS Sawant, J Gill, AC Costa, G Kumar, R Sharma, A Gupta, P McCarthy, V Nandwani, D Powell, A Carideo, D Goodwin, S Ahmed, U Gidwani, MA Levin, R Varghese, F Filsoufi, R Freeman, A Shetreat-Klein, AW Charney, I Hofer, L Chan, D Reich, P Kovatch, R Kohli-Seth, M Kraft, P Agrawal, JA Kellum, GN Nadkarni, A Sakhuja.
  npj Digital Medicine, 8, 313. DOI: 10.1038/s41746-025-01709-9.
• Summarize-then-Prompt: A Novel Prompt Engineering Strategy for Generating High-Quality Discharge Summaries. (May/Aug 2025) E Klang, J Gill, A Sharma, E Leibner, M Sabounchi, R Freeman, R Kohli-Seth, P Kovatch, AW Charney, L Stump, DL Reich, GN Nadkarni, A Sakhuja.
  Applied Clinical Informatics, 16(4), 1325–1331. DOI: 10.1055/a-2617-6572. Epub May 21, 2025.
• Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. (Dec 2024) F Gulamali, P Jayaraman, P Kovatch, GN Nadkarni, et. al.
• Measurement of circulating viral antigens post-SARS-CoV-2 infection in a multicohort study. (Dec 2024) Z Swank, E Borberg, P Kovatch, TF Bumol, et. al.
• Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. (Dec 2024) J Jiang, HM Thi Vy, P Kovatch, GN Nadkarni, et. al.
• Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. (Sept 2024) A Vaid, SQ Duong, P Kovatch, GN Nadkarni, et. al.
• A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19. (Feb 2024) by W Oh, P Jayaraman, P Kovatch, and GN Nadkarni, et. al.
• Ninth Computational Approaches for Cancer Workshop (CAFCW23) (Nov 2023) by E Stahlberg, P Kovatch, L Borkon, et. al.
• Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings. (Oct 2023) by A Vaid, A Sawant, P Kovatch, GN Nadkarni, et. al.
• Returning integrated genomic risk and clinical recommendations: The eMERGE study. (Apr 2023) by eMERGE Consortium, P Kovatch, et. al.
• Autoencoders for sample size estimation for fully connected neural network classifiers.  (Dec 2022) by F Gulamali, AS Sawant, P Kovatch, A Charney, GN Nadkarni, et. al.
• Quantitative chest computed tomography combined with plasma cytokines predict outcomes in COVID-19 patients (August 2022) by P. Kovatch, S. Nirenberg, M. Merad, S. Gnjatic, et al.
• Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis (July 2022) by P. Kovatch, A. Charney, G. Nadkarni, et al.
• Multi-ethnic Investigation of Risk and Immune Determinants of COVID-19 Outcomes (March 2022) by P. Kovatch, S. Nirenberg, et al.
• Functional Effects of Cardiomyocyte Injury in COVID-19. (Jan 2022) by M Siddiq, AT Chan, P Kovatch, R Iyengar., et. al.
• Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit (Jan 2022) by P. Kovatch, A. Charney, G. Nadkarni, et al.
• Quantitative chest CT combined with plasma cytokines predict outcomes in COVID-19 patients (Oct 2021) by P. Kovatch, et al.
• Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19 (Aug 2021) by P. Kovatch, A. Vaid et al.
• Prediction of individual COVID-19 diagnosis using baseline demographics and lab data (July 2021) by P. Kovatch, J. Zhang et al.
• Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City (July 2021) by P. Kovatch, S. K. Jaladanki et al.
• Analysis of sex-specific risk factors and clinical outcomes in COVID-19 (June 2021) by P. Kovatch, S. Nirenberg, et al.
• Outcomes of Patients on Maintenance Dialysis Hospitalized with COVID-19 (March 2021) by P. Kovatch, L. Chan et al.
• GUÍA: a digital platform to facilitate result disclosure in genetic counseling (Feb 2021) by P. Kovatch, S. A. Suckiel et al.
• The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of New York City children (Jan 2021) by P. Kovatch, J. A. Odgis et al.
• Physiology of cardiomyocyte injury in COVID-19 (Nov 2020) by P. Kovatch, M. M. Siddiq et al.
• Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients (Nov 2020) by P. Kovatch, A. Vaid et al.
• Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City (Nov 2020) by P. Kovatch, I. Paranjpe et al.
• An inflammatory cytokine signature predicts COVID-19 severity and survival (Oct 2020) by P. Kovatch, D. M. Del Valle et al.
• Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records (Oct 2020) by P. Kovatch, Z. Wang et al.
• COVID, Cancer, and HPC Highlight the Computational Approaches for Cancer Workshop at SC (Aug 2020) through SC20
• Optimizing High-Performance Computing Systems for Biomedical Workloads (July 2020) by P. Kovatch et al.
• An inflammatory cytokine signature helps predict COVID-19 severity and death (May 2020) by P. Kovatch, D. M. Del Valle et al.
• Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining (Sept 2018), P. Kovatch, K. Shameer et al.
• Big and disparate data: considerations for pediatric consortia (April 2017) by P. Kovatch, J. A. Stingone et al.
• Preserving Data: Who’s Got Your Back(up)? (Feb 2016) through ACSB: An International Forum for Cell Biology
• Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai heart failure cohort (2016) by P. Kovatch, K. Shameer et al.
• Pharmacological factors associated with congestive heart failure hospital readmission: a case-study using 15,768 heart failure patients from two health systems (2016) by P. Kovatch, K. Johnson et al.
• Accelerating child health exposure research with the CHEAR data center (Oct 2016) by P. Kovatch, D.L. McGuinness et al.
• Lessons learned from the Children’s Health Exposure Analysis Resource (CHEAR) data center (Aug 2016) by P. Kovatch, D.L. McGuinness et al.
• Big Omics Data Experience (Nov 2015) by P. Kovatch et al.
• Improved grid security posture through multi-factor authentication (Sept 2011) by P. Kovatch, V. Hazelwood et al.
• The Malthusian catastrophe is upon us! Are the largest HPC machines ever up? (Aug 2011) by P. Kovatch et al.
• Increasing petascale resource utilization through bimodal scheduling policies (May 2011) by P. Kovatch, P. Andrews et al.
• Scheduling diverse high performance computing systems with the goal of maximizing utilization (Feb 2011) by P. Kovatch, T. Samuel et al.