Application of AI to the Life Sciences domain

Course Description

This seminar series offers a comprehensive journey through the rapidly evolving landscape of AI in biomedical research. Across four thematic days, participants explore how artificial intelligence is transforming scientific discovery, clinical workflows, molecular biology, and drug development.

The programme brings together experts working on AI agents, clinical applications, genomics, speech analysis, single‑cell biology, cardiology imaging, aging research, protein energetics, and drug discovery pipelines.

Designed for researchers, clinicians, and industry professionals, the series blends conceptual foundations with real‑world case studies, showcasing how modern AI methods—from deep learning to multimodal modeling—are reshaping the future of health and life sciences.

What You Will Learn

By attending the full seminar series, participants will gain:

• A panoramic understanding of biomedical AI How AI is applied across clinical, molecular, and systems‑level problems, from emergency triage to drug discovery.
• Insight into cutting‑edge research methods Including AI agents, sentence transformers, genomic deep learning, speech biomarkers, and single‑cell analysis.
• Practical knowledge of clinical AI applications How AI supports mental health, stroke imaging, cardiology, and diagnostic workflows.
• Exposure to molecular and structural biology AI Techniques for modeling aging, protein energetics, and molecular interactions.
• Understanding of end‑to‑end AI pipelines From data preprocessing and model design to validation, deployment, and ethical considerations.
• Awareness of challenges and limitations Bias, data quality, interpretability, and responsible use of AI in healthcare and research.
• Opportunities for interdisciplinary collaboration Connecting computational scientists, clinicians, biologists, and industry partners around shared challenges.

Agenda

AI Factory Scientific Seminar Series

Friday 29/05 – AI Methods & Systems in Health and Biomedical Research

• 10:00 – Miguel Vázquez.
AI Agents as Research Assistants
• 11:00 – Miguel Rodríguez.
Exploring Sentence Transformers and Pre-trained Language Models for Materials Science Data Extraction
• 12:00 – Eduard Rodríguez.
Building a Multi-Agent AI System for Pediatric Emergency Pre-Triage

Monday 01/06 – Clinical AI Applications
• 10:00 – Cleofe Peña.
AI in Mental Health
• 11:00 – Simón Orozco.
Deep Learning for Genomics: The Flying Gene Challenge
• 12:00 – Uma Lal.
Deep Learning for Stroke Imaging

Tuesday 02/06 – Advanced Topics in Biomedical AI
• 10:00 – Mario Jojoa.
Advanced Speech Analysis Using Artificial Intelligence
• 11:00 – Marc Grau.
Circadian Gene Expression in the Developing Brain at Single-Cell Resolution
• 12:00 – Paula Petrone.
From Imaging to Diagnosis: AI in Cardiology and Ultrasound

Wednesday 03/06 – Molecular AI & Drug Discovery
• 10:00 – Natàlia Pujol.
Multimodal data analysis reveals asynchronous aging dynamics across female reproductive organs
• 11:00 – Franco Simonetti.
Energetic Frustration in Proteins: Implications for Function and Disease
• 12:00 – Ruite Xiang.
AI-Driven Approaches to Hit Identification in Drug Discovery

Required readings or materials

Learn More About the Speakers & Their Work