B. Dreyfus

Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach

A. Gomez‐Caminero, C. Kratt, T. Neilan, 2020, Journal for ImmunoTherapy of Cancer.

Investigating Overlap in Signals from EVDAS, FAERS, and VigiBase®

Antoni F. Z. Wisniewski, John van Stekelenborg, Ulrich Vogel, 2020, Drug Safety.

Individual Case Safety Report Replication: An Analysis of Case Reporting Transmission Networks

A. Bate, M. Hauben, John van Stekelenborg, 2022, Drug Safety.

Application of natural language processing techniques to identify off-label drug usage from various online health communities

Anuj Chaudhary, Brian Dreyfus, Parth Bhardwaj, 2021, J. Am. Medical Informatics Assoc..

Who needs a comprehensive geriatric assessment? A French Onco-Geriatric Screening tool (OGS)

M. Paccalin, G. Bouche, V. Migeot, 2011 .

Adverse events and clinical outcomes in patients treated with PD-(L)1 blockade for advanced non-small-cell lung cancer.

Yan Zhang, J. Penrod, L. Lal, 2023, Future oncology.

Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach

A. Gomez‐Caminero, C. Kratt, T. Neilan, 2021, Journal for ImmunoTherapy of Cancer.

Understanding Hispanic/Latino Participation in Clinical Trials and Observational Studies, and Strategies to Increase Participation: A Targeted Literature Review

M. Fazeli, M. Ferri, L. Ferri, 2023, Journal of health care for the poor and underserved.