This one-day event will bring together clinicians, researchers, patient representatives, policymakers and ethicists to explore the landscape of psychedelic-assisted care through the lens of the four pillars of medical ethics: beneficence, autonomy, non-maleficence, and justice.

The symposium will delve into safety, regulation, therapeutic practices, and future directions to ensure equitable access to psychedelic-assisted care.

The future of medicine is being redefined by artificial intelligence. From digital twins and precision medicine to AI-driven medical imaging and large language models, cutting-edge technologies are transforming the way we diagnose, treat, and prevent disease.

Traditional manual analysis of medical reports is extremely time consuming but crucial for accurate diagnosis and effective patient screening. 

In a recently published scientific study, Luís Elvas - Health Data Engineer in the Breast Cancer Research Programme at the Champalimaud Foundation - and colleagues, have shown that fine-tunning language models can be used for automated analysis of medical reports. This approach can streamline daily clinical workflows, improve categorisation of diseases in patients and offer a tool for new clinical research analysis.