Cluster Analysis of Low-Dimensional Medical Concept Representations from Electronic Health Records. - Fernando Jaume-Santero; Boya Zhang; Dimitrios Proios; Anthony Yazdani; Racha Gouareb; Mina Bjelogrlic; Douglas Teodoro (HIS, 2022)

Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events. - Anthony Yazdani; Dimitrios Proios; Hossein Rouhizadeh; Douglas Teodoro (ICON, 2022)

Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. - Dimitrios Proios; Anthony Yazdani; Alban Bornet; Julien Ehrsam; Islem Rekik; Douglas Teodoro (DSAA, 2023)

DS4DH at #SMM4H 2023: Zero-Shot Adverse Drug Events Normalization using Sentence Transformers and Reciprocal-Rank Fusion. - Anthony Yazdani; Hossein Rouhizadeh; David Vicente Alvarez; Douglas Teodoro (CoRR, 2023)

Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios. - Fernando Jaume-Santero; Alban Bornet; Alain Valery; Nona Naderi; David Vicente Alvarez; Dimitrios Proios; Anthony Yazdani; Colin Bournez; Thomas Fessard; Douglas Teodoro (J. Chem. Inf. Model., 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)

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts. - Dimitrios Proios; Alban Bornet; Anthony Yazdani; Jose F. Rodrigues; Douglas Teodoro (CBMS, 2025)

Comparing neural language models for medical concept representation and patient trajectory prediction. - Alban Bornet; Dimitrios Proios; Anthony Yazdani; Fernando Jaume-Santero; Guy Haller; Edward Choi; Douglas Teodoro (Artif. Intell. Medicine, 2025)

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)

A scoping review of artificial intelligence applications in clinical trial risk assessment. - Douglas Teodoro; Nona Naderi; Anthony Yazdani; Boya Zhang; Alban Bornet (npj Digit. Medicine, 2025)

GLiNER-biomed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition. - Anthony Yazdani; Ihor Stepanov; Douglas Teodoro (CoRR, 2025)

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts. - Dimitrios Proios; Alban Bornet; Anthony Yazdani; Jose F. Rodrigues Jr.; Douglas Teodoro (CoRR, 2025)