Gayo Diallo

Full Professor

University of Bordeaux

France

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Gayo Diallo is a Full Professor at the University of Bordeaux, France. His research areas include digital health, artificial intelligence in healthcare, and computational biology, as reflected in his recent publications on topics such as drug-target interaction prediction and health literacy in low-income countries. He has contributed to the understanding of health and eHealth literacy, as well as the use of innovative technologies to combat misinformation in medical contexts.

Gayo Diallo

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Articles (21)

Annotated tweet data of mixed Wolof-French for detecting obnoxious messages

25 Years of Digital Health Toward Universal Health Coverage in Low- and Middle-Income Countries: Rapid Systematic Review

Optimizing Global Network Alignment With a Genetic Algorithm: Leveraging Pre-Trained Embeddings for Protein Sequences and Gene Ontology Terms

Optimizing Global Network Alignment with a Genetic Algorithm: Leveraging Pre-trained Embeddings for Protein Sequences and Gene Ontology Terms

Evaluating a phone-based Interactive Voice Response system for reducing misinformation and improving malaria literacy

The OREGANO knowledge graph for computational drug repurposing

Health and e-Health Literacy of Diabetic Patients in Low-Income Countries: a perspective from Guinea and Burkina Faso (Preprint)

Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

Low-cost IoT sensors reveal adverse health outcomes associated with air pollution exposure

Editorial: Explainable artificial intelligence for critical healthcare applications

Broad Trends in Public Health and Epidemiology Informatics

From Real-world Individuals’ Data to National Health Indicators: Multiphase Pilot Study in Gabon

A simple yet effective approach for log based critical errors prediction

Health information systems in developing countries: case of African countries

Public Health and Epidemiology Informatics: Recent Research Trends

Ontology Integration: Approaches and Challenging Issues

Radical collaboration during a global health emergency: development of the RDA COVID-19 data sharing recommendations and guidelines

Pregnancy Associated Breast Cancer Gene Expressions : New Insights on Their Regulation Based on Rare Correlated Patterns

Linkage of Hospital Records and Death Certificates by a Search Engine and Machine Learning

An Alignment-Based Implementation of a Holistic Ontology Integration Method

Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group

Collaborators (8)

Claudia Engelhardt

Hugh Shanahan

Salvatore Flavio Pileggi

Stephanie Carroll

Sadok Ben Yahia

Piotr Wojtek Dabrowski

Jean Engohang-Ndong

Fleur Mougin

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