Anthony Yazdani

According to our database, Anthony Yazdani authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning.

Félicien Hêche, Sohrab Ferdowsi, Anthony Yazdani, Sara Sansaloni-Pastor, Douglas Teodoro

CoRR, February, 2026

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, June, 2025

GLiNER-biomed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition.

Anthony Yazdani, Ihor Stepanov, Douglas Teodoro

CoRR, April, 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

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

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

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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024

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

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., April, 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

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

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

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

Proceedings of the 19th International Conference on Natural Language Processing, 2022

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

Proceedings of the Health Information Science - 11th International Conference, 2022