Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus. - Sohrab Ferdowsi; Nikolay Borissov; Julien Knafou; Poorya Amini; Douglas Teodoro (EMNLP (1), 2021)

Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance. - Quentin Haas; Nikolay Borisov; David Vicente Alvarez; Sohrab Ferdowsi; Leonhard von Mayenn; Douglas Teodoro; Poorya Amini (Frontiers Digit. Health, 2021)

On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks. - Sohrab Ferdowsi; Jenny Copara; Racha Gouareb; Nikolay Borissov; Fernando Jaume-Santero; Poorya Amini; Douglas Teodoro (AIME, 2022)

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study. - Sohrab Ferdowsi; Julien Knafou; Nikolay Borissov; David Vicente Alvarez; Rahul Mishra 004; Poorya Amini; Douglas Teodoro (Patterns, 2023)

CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results. - Anthony Yazdani; Alban Bornet; Boya Zhang; Philipp Khlebnikov; Poorya Amini; Douglas Teodoro (CoRR, 2024)

Analysis of eligibility criteria clusters based on large language models for clinical trial design. - Alban Bornet; Philipp Khlebnikov; Florian Meer; Quentin Haas; Anthony Yazdani; Boya Zhang; Poorya Amini; Douglas Teodoro (J. Am. Medical Informatics Assoc., 2025)