Webinar on Health

Training details

Location

Online (Zoom)

Start Date

27/02/2026

Time

10 : 00

End Date

27/02/2026

Target Audiance

Non-Technical

Teaching language(s)

Portuguese

Organizing institution

BSC AI Factory (BSC – Barcelona Supercomputing Center) and CNCA

Delivery mode

Online

Level

Introductory

Format

Webinar

Capacity or seats limit

Online (Zoom)

Industrial domains

Health, Pharma and biotech

Topics / Keywords

Artificial Intelligence, Healthcare, Real-world use cases, AI-assisted diagnosis, Hospital workflow optimization, Medical imaging, Clinical risk prediction, Data interoperability, Data governance and data quality, Regulation (GDPR, AI Act), AI ethics, Digital transformation in Healthcare, Health Hub, Applied innovation and pilots

What You Will Learn

By the end of the webinar, participants will be able to:

  • Explore real-world AI use cases in Healthcare in Portugal
  • Understand the current maturity level of the sector (institutions, companies, academia)
  • Identify key challenges: data, interoperability, clinical adoption, regulation, and ethics
  • Contribute to defining priority topics for:
    • in-person workshops
    • hands-on challenges
    • potential pilots and future partnerships within the Health Hub

Agenda

Opening – 10 min

  • Welcome
  • Introduction to BSC AI Factory
  • Overview of BSC AIF services
  • Webinar objectives and link to upcoming events (April workshops)

Context – AI in Healthcare: Clinical Potential, Efficiency, and Ethical Boundaries – 10 min

  • Current trends (diagnostics, hospital efficiency, clinical data)
  • Ethical and regulatory framework (brief)

Use Cases – 60 min

(ideally 3 use cases, ~15 min each + transitions)

  • Use Case 1: PURR.AI — Irina Moreira
    • Clinical or operational problem
    • AI solution applied
    • Results achieved
    • Main challenges (data, adoption, regulation)
  • Use Case 2: TBD
  • Use Case 3: TBD

Audience Interaction – 25 min

  • Q&A
  • Quick polls:
    • Are you already using AI in your institution?
    • In which area?
    • What is the biggest barrier today?

Closing – 5 min

  • Key takeaways
  • Next steps:
    • In-person workshops
    • Hands-on challenges
    • Potential pilots
  • Link to post-event survey

Instructor name(s)

  • Susana Caetano
  • Cátia Pinto
  • Joana Feijó
  • Andreia Gaudêncio (AI in Healthcare context – tbc)
  • Irina Moreira (PURR.AI)
    • 2 guest speakers (TBD)

Instructor's biography

  • Andreia Gaudêncio is a Data Services Specialist at BSC AI Factory and CNCA – Centro Nacional de Computação Avançada. She holds a PhD in Biomedical Engineering and specializes in machine learning, biostatistics, and signal/image processing. Andreia has experience in Python, Matlab, and other computational tools, as well as teaching and supervising students.
  • Irina Moreira (PhD) is a professor and researcher at the University of Coimbra, focusing on bioinformatics, molecular modeling, and artificial intelligence applied to biomedicine. She is the co-founder of PURR.AI, a Portuguese biotech company using AI to accelerate drug discovery, with a focus on age-related diseases. She leads research and technology transfer initiatives in data-driven drug discovery.
  • Cátia Pinto is Head of Global Digital Health and International Affairs at SPMS, EPE, with an established career at the intersection of digital health, data governance, and international cooperation.
  • Joana Feijó is Business Development Director at Health Cluster Portugal, with experience in business strategy and management consulting.

Course Description

This 90-minute online webinar focuses on real-world AI use cases in Healthcare in Portugal. The event aims to map the sector’s maturity, discuss practical barriers (data, adoption, regulation), and gather input to shape upcoming in-person workshops and hands-on challenges within the Health Hub (Lisbon and Guimarães). The session includes short presentations, case studies, and audience interaction through Q&A and quick polls.

Prerequisites

  • No technical prerequisites.
  • Recommended:
    • Interest in innovation, data, and digital transformation in Healthcare

Certificate/badge details

  • Certificate: Not applicable
  • Badge: Not applicable

Required readings or materials

  • Not required.

Technical setup

  • Platform: Zoom
  • Technical requirements:
    • Computer with a stable internet connection
    • Microphone and camera (optional, but recommended for Q&A)
  • Post-event materials: slides + survey link (if applicable)