Generative AI for Biomarkers and Drug Discovery: A Tutorial on Concepts, Challenges, and Breakthroughs

Related publications:
•    Giard, J., Alface, P. R., Gala, J. L., & Macq, B. (2009). Fast surface-based travel depth estimation algorithm for macromolecule surface shape description. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(1), 59-68.
•    Barragán-Montero, A., Javaid, U., Valdés, G., Nguyen, D., Desbordes, P., Macq, B., ... & Lee, J. A. (2021). Artificial intelligence and machine learning for medical imaging: A technology review. Physica Medica, 83, 242-256.
•    Gruson, D., Dabla, P., Stankovic, S., Homsak, E., Gouget, B., Bernardini, S., & Macq, B.(2022). Artificial intelligence and thyroid disease management: considerations for thyroid function tests. Biochemia medica, 32(2), 182-188.
•    Gruson, D., Gruson, D., & Macq, B. (2024). The Next Clinical Decision Frontier: How to Efficiently and Safely Combine Machine Learning and Human Expertise. Clinical Chemistry, 70(3), 471-473.
•    Dausort, M., Godelaine, T., Zanella, M., Khoury, K. E., Salmon, I., & Macq, B. (2024). Exploring Foundation Models Fine-Tuning for Cytology Classification. arXiv preprint arXiv:2411.14975. 
•    Macq, B. (2024). Face aux défis de l’intelligence artificielle générative. Académie en Poche.

Info : mireille.alhouayek@uclouvain.be

Monday, January 13, 2025 – 1pm – Auditoire Maisin