Transformer performance for chemical reactions: Analysis of different predictive and evaluation scenarios F Jaume-Santero, A Bornet, A Valery, N Naderi, D Vicente Alvarez, ... Journal of chemical information and modeling 63 (7), 1914-1924, 2023 | 17 | 2023 |
Comparing neural language models for medical concept representation and patient trajectory prediction A Bornet, D Proios, A Yazdani, FJ Santero, G Haller, E Choi, D Teodoro medRxiv, 2023.06. 01.23290824, 2023 | 5 | 2023 |
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events A Yazdani, D Proios, H Rouhizadeh, D Teodoro arXiv preprint arXiv:2302.04185, 2023 | 5 | 2023 |
A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models H Rouhizadeh, I Nikishina, A Yazdani, A Bornet, B Zhang, J Ehrsam, ... Scientific Data 11 (1), 455, 2024 | 4 | 2024 |
Cluster analysis of low-dimensional medical concept representations from electronic health records F Jaume-Santero, B Zhang, D Proios, A Yazdani, R Gouareb, M Bjelogrlic, ... International conference on health information science, 313-324, 2022 | 4 | 2022 |
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data D Proios, A Yazdani, A Bornet, J Ehrsam, I Rekik, D Teodoro 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 3 | 2023 |
DS4DH at# SMM4H 2023: zero-shot adverse drug events normalization using sentence transformers and reciprocal-rank fusion A Yazdani, H Rouhizadeh, DV Alvarez, D Teodoro arXiv preprint arXiv:2308.12877, 2023 | 3 | 2023 |
CONORM: Context-Aware Entity Normalization for Adverse Drug Event Detection A Yazdani, H Rouhizadeh, A Bornet, D Teodoro medRxiv, 2023.09. 26.23296150, 2023 | 1 | 2023 |
A dataset for evaluating clinical research claims in large language models B Zhang, A Bornet, A Yazdani, P Khlebnikov, M Milutinovic, ... Scientific Data 12 (1), 86, 2025 | | 2025 |
A Scoping Review of Artificial Intelligence Applications in Clinical Trial Risk Assessment D Teodoro, N Naderi, A Yazdani, B Zhang, A Bornet medRxiv, 2025.01. 21.25320310, 2025 | | 2025 |
Large Language Models Struggle to Encode Medical Concepts-A Multilingual Benchmarking and Comparative Analysis H Rouhizadeh, A Yazdani, B Zhang, D Vicente Alvarez, M Hueser, ... medRxiv, 2025.01. 15.25320579, 2025 | | 2025 |
Analysis of eligibility criteria clusters based on large language models for clinical trial design A Bornet, P Khlebnikov, F Meer, Q Haas, A Yazdani, B Zhang, P Amini, ... Journal of the American Medical Informatics Association, ocae311, 2024 | | 2024 |
CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results A Yazdani, A Bornet, P Khlebnikov, B Zhang, H Rouhizadeh, P Amini, ... arXiv preprint arXiv:2404.12827, 2024 | | 2024 |