| Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection V Ramlall, PM Thangaraj, C Meydan, J Foox, D Butler, J Kim, B May, ... Nature medicine 26 (10), 1609-1615, 2020 | 301 | 2020 |
| PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model BS Glicksberg, B Oskotsky, PM Thangaraj, N Giangreco, MA Badgeley, ... Bioinformatics 35 (21), 4515-4518, 2019 | 39 | 2019 |
| Canonical cortical circuit model explains rivalry, intermittent rivalry, and rivalry memory S Vattikuti, P Thangaraj, HW Xie, SJ Gotts, A Martin, CC Chow PLoS computational biology 12 (5), e1004903, 2016 | 26 | 2016 |
| Identification of Immune complement function as a determinant of adverse SARS-CoV-2 infection outcome V Ramlall, PM Thangaraj, C Meydan, J Foox, D Butler, B May, ... MedRxiv, 2020 | 24 | 2020 |
| Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods PM Thangaraj, BR Kummer, T Lorberbaum, MSV Elkind, NP Tatonetti BioData mining 13, 1-14, 2020 | 15 | 2020 |
| ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data BS Glicksberg, B Oskotsky, N Giangreco, PM Thangaraj, V Rudrapatna, ... JAMIA open 2 (1), 10-14, 2019 | 13 | 2019 |
| An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials EK Oikonomou, PM Thangaraj, DL Bhatt, JS Ross, LH Young, ... NPJ digital medicine 6 (1), 217, 2023 | 7 | 2023 |
| Identification of immune complement function as a determinant of adverse SARS-CoV-2 infection outcome. medRxiv 2020 V Ramlall, P Thangaraj, C Meydan, J Foox, D Butler, B May, JK De Freitas, ... preprint]. doi 10 (2020.05), 05.20092452, 0 | 6 | |
| RCT-Twin-GAN Generates Digital Twins of Randomized Control Trials Adapted to Real-world Patients to Enhance their Inference and Application PM Thangaraj, SV Shankar, EK Oikonomou, R Khera medRxiv, 2023 | 3 | 2023 |
| Phenotype concept set construction from concept pair likelihoods VA Rodriguez, S Tony, P Thangaraj, C Pang, KS Kalluri, X Jiang, ... AMIA Annual Symposium Proceedings 2020, 1080, 2020 | 3 | 2020 |
| An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized controlled trials EK Oikonomou, PM Thangaraj, DL Bhatt, JS Ross, LH Young, ... medRxiv, 2023 | 2 | 2023 |
| Medical data and machine learning improve power of stroke genome-wide association studies PM Thangaraj, U Gisladottir, NP Tatonetti bioRxiv, 2020.01. 22.915397, 2020 | 2 | 2020 |
| A Novel Digital Twin Strategy to Examine the Implications of Randomized Control Trials for Real-World Populations PM Thangaraj, SV Shankar, S Huang, G Nadkarni, B Mortazavi, ... medRxiv, 2024 | 1 | 2024 |
| Electronic Health Record-Derived Phenotyping Models to Improve Genomic Research in Stroke PM Thangaraj Columbia University, 2020 | 1 | 2020 |
| Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular 2 Outcomes: A Multinational, Federated Analysis of LEGEND-T2DM R Khera, A Aminorroaya, L Singh Dhingra, PM Thangaraj, ... Journal of the American College of Cardiology, 2024 | | 2024 |
| Computational Phenomapping of Randomized Clinical Trials to Enable Assessment of their Real-world Representativeness and Personalized Inference PM Thangaraj, EK Oikonomou, LS Dhingra, A Aminorroaya, R Jayaram, ... medRxiv, 2024.05. 15.24306285, 2024 | | 2024 |
| Development and multinational validation of an algorithmic strategy for high Lp(a) screening A Aminorroaya, LS Dhingra, EK Oikonomou, S Saadatagah, P Thangaraj, ... Nature Cardiovascular Research, 1-9, 2024 | | 2024 |
| EVIDENCE FROM RANDOMIZED CONTROLLED TRIAL TO REAL-WORLD PATIENTS USING ELECTRONIC HEALTH RECORD-ADAPTED DIGITAL TWINS: A NOVEL APPLICATION OF GENERATIVE ARTIFICIAL INTELLIGENCE P Thangaraj, SV Shankar, EK Oikonomou, R Khera Journal of the American College of Cardiology 83 (13_Supplement), 2340-2340, 2024 | | 2024 |
| WEARABLE DEVICE USE PATTERNS AMONG THOSE WITH CARDIOVASCULAR RISK IN ALL OF US RESEARCH PROGRAM: AN EVALUATION AGAINST A NATIONALLY REPRESENTATIVE DATABASE KB Feliciano, A Aminorroaya, L Dhingra, P Thangaraj, P Adejumo, ... Journal of the American College of Cardiology 83 (13_Supplement), 2045-2045, 2024 | | 2024 |
| A Deep Learning Approach for Automated Extraction of Functional Status and New York Heart Association Class for Heart Failure Patients During Clinical Encounters P Adejumo, P Thangaraj, LS Dhingra, A Aminorroaya, X Zhou, C Brandt, ... medRxiv, 2024 | | 2024 |
Nicholas P TatonettiProfessor and Vice Chair of Computational Biomedicine, Cedars-Sinai Medical Center在 cshs.org 的电子邮件经过验证
