Douglas Teodoro

Assistant Professor

University of Geneva

Switzerland

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About

Douglas Teodoro is an Assistant Professor at the University of Geneva, Switzerland. His research encompasses advanced methodologies in clinical trial design, adverse drug event prediction, and privacy-preserving medical image sharing. He has contributed to the field through various recent articles, focusing on the application of large language models and deep learning techniques in evaluating clinical research and improving healthcare outcomes.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (15)

Ramona Britto

European Bioinformatics Institute

UNITED KINGDOM

Douglas Teodoro

Research Interests

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Articles (16)

An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results

Analysis of eligibility criteria clusters based on large language models for clinical trial design

A dataset for evaluating clinical research claims in large language models

Exploring Medical Career Choice to Better Inform Swiss Physician Workforce Planning: Protocol for a National Cohort Study

A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models

Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation

PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation

Erratum to “Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study”

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study

UniProt: the universal protein knowledgebase in 2021.

Ensemble of Deep Masked Language Models for Effective Named Entity Recognition in Health and Life Science Corpora.

Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance.

Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development.

Information Retrieval in an Infodemic: The Case of COVID-19 Publications

UPCLASS: a deep learning-based classifier for UniProtKB entry publications.

Collaborators (15)

Ramona Britto

Nadia Bajwa

Nona Naderi

Patrick Ruch

Darren Natale

Georges Savoldelli

Aurélien Luciani

Parit Bansal

Nicole Redaschi

Elena Speretta

Bernard Cerutti

Monika Maria Brodmann Maeder

Manuela Pruess

Arnaud Kerhornou

Chuming Chen

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