Chirag J. Patel

According to our database, Chirag J. Patel authored at least 24 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Normal Representations for Blood Biomarkers.

Aashna P. Shah, Michelle M. Li, Yash Lal, Seffi Cohen, Liat F. Antwarg, Morgan Sanchez, James A. Diao, Chirag J. Patel, Ben Y. Reis, Ran D. Balicer, Noa Dagan, Arjun K. Manrai

CoRR, May, 2026

An autonomous agentic workflow for clinical detection of cognitive concerns using large language models.

Jiazi Tian, Pedram J. Fard, Cameron Cagan, Neguine Rezaii, Rebeka Bustamante Rocha, Liqin Wang, Valdery Moura Junior, Deborah Blacker, Jennifer S. Haas, Chirag J. Patel, Shawn N. Murphy, Lidia M. V. R. Moura, Hossein Estiri

npj Digit. Medicine, 2026

2025

SSM-CGM: Interpretable State-Space Forecasting Model of Continuous Glucose Monitoring for Personalized Diabetes Management.

Shakson Isaac, Yentl Collin, Chirag J. Patel

CoRR, October, 2025

An Agentic AI Workflow for Detecting Cognitive Concerns in Real-world Data.

Jiazi Tian, Liqin Wang, Pedram J. Fard, Valdery Moura Junior, Deborah Blacker, Jennifer S. Haas, Chirag J. Patel, Shawn N. Murphy, Lidia M. V. R. Moura, Hossein Estiri

CoRR, February, 2025

2024

PYPE: A pipeline for phenome-wide association and Mendelian randomization in investigator-driven biobank scale analysis.

Taykhoom Dalal, Chirag J. Patel

Patterns, 2024

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data.

Ayush Singla, Shakson Isaac, Chirag J. Patel

Proceedings of the Machine Learning for Health, 2024

2023

A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease.

Bryan Andrews, Chirayu Wongchokprasitti, Shyam Visweswaran, Chirag M. Lakhani, Chirag J. Patel, Gregory F. Cooper

Artif. Intell. Medicine, May, 2023

2021

Empowering clinical research in a decentralized world.

Walter De Brouwer, Chirag J. Patel, Arjun K. Manrai, Isaac R. Rodriguez-Chavez, Nirav R. Shah

npj Digit. Medicine, 2021

What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health.

Kristin Passero, Shefali Setia Verma, Kimberly McAllister, Arjun K. Manrai, Chirag J. Patel, Molly A. Hall

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020

A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type.

Alan Le Goallec, Braden T. Tierney, Jacob M. Luber, Evan M. Cofer, Aleksandar D. Kostic, Chirag J. Patel

PLoS Comput. Biol., 2020

Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services.

Inès Krissaane, Carlos De Niz, Alba Gutiérrez-Sacristán, Gabor Korodi, Nneka Ede, Ranjay Kumar, Jessica Lyons, Arjun K. Manrai, Chirag J. Patel, Isaac S. Kohane, Paul Avillach

J. Am. Medical Informatics Assoc., 2020

2018

Aether: leveraging linear programming for optimal cloud computing in genomics.

Jacob M. Luber, Braden T. Tierney, Evan M. Cofer, Chirag J. Patel, Aleksandar D. Kostic

Bioinform., 2018

Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API.

Alba Gutiérrez-Sacristán, Romain Guedj, Gabor Korodi, Jason Stedman, Laura Inés Furlong, Chirag J. Patel, Isaac S. Kohane, Paul Avillach

Bioinform., 2018

A review of validation strategies for computational drug repositioning.

Adam S. Brown, Chirag J. Patel

Briefings Bioinform., 2018

2017

MeSHDD: Literature-based drug-drug similarity for drug repositioning.

Adam S. Brown, Chirag J. Patel

J. Am. Medical Informatics Assoc., 2017

Session Introduction.

Konrad J. Karczewski, Nicholas P. Tatonetti, Chirag J. Patel, Arjun K. Manrai, C. Titus Brown, John P. A. Ioannidis

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

ksRepo: a generalized platform for computational drug repositioning.

Adam S. Brown, Sek Won Kong, Isaac S. Kohane, Chirag J. Patel

BMC Bioinform., 2016

Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.

Benjamin S. Glicksberg, Li Li, Marcus A. Badgeley, Khader Shameer, Roman Kosoy, Noam D. Beckmann, Nam Pho, Jörg Hakenberg, Meng Ma, Kristin L. Ayers, Gabriel E. Hoffman, Shuyu Dan Li, Eric E. Schadt, Chirag J. Patel, Rong Chen, Joel T. Dudley

Bioinform., 2016

Reproducible and Shareable Quantifications of Pathogenicity.

Arjun K. Manrai, Brice L. Wang, Chirag J. Patel, Isaac S. Kohane

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Session Introduction.

Arjun K. Manrai, Chirag J. Patel, Nils Gehlenborg, Nicholas P. Tatonetti, John P. A. Ioannidis, Isaac S. Kohane

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2015

aRrayLasso: a network-based approach to microarray interconversion.

Adam S. Brown, Chirag J. Patel

Bioinform., 2015

Development of Exposome Correlations Globes to Map Out Environment-Wide Associations.

Chirag J. Patel, Arjun K. Manrai

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2013

Invited Speakers.

Chirag J. Patel, Yotam Heineberg

Proceedings of the Data Driven Wellness: From Self-Tracking to Behavior Change, 2013

2012

Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease.

Chirag J. Patel, Rong Chen, Atul J. Butte

Bioinform., 2012