My City-Lab Talk Series
AI in Genomics: Delivering Personalised Medicine
Tuesday, 05 May 2020, 11.00 -12.15 (CEST, Brussels time)
Webinar via Ring Central
My City-Lab Talk Series is back!
The second meeting of My City-Lab Talk Series on Artificial Intelligence (AI) and health care will take place on 5 May via Ring Central. The meeting will explore how AI can contribute and support health care systems in the field of genomics to obtain personalised medicine.
AI has come a long way in health care and it has many different uses, one of those applied to genomics. By identifying individuals’ phenotypes and genotypes health care professionals can offer personalised medicine, tailoring the right therapeutic strategy for the right person at the right time.
The debate will explore the following topics:
- How can AI support personalised medicine?
- What are the benefits for patients’ and the main barriers it encounters on its application?
- What might be the cost for the health care system and individuals?
- How safe will it be to carry our genetic data in our digital devices?
Do not miss the opportunity to participate in our passionate debate, and learn about the role AI has when applied to genomics for personalised medicines.
With remarks from:
- Pilar del Castillo Vera, European Parliament – Co-chair Intergroup on AI & Digital
- Jana Makedonska, European Commission – DG Research & Innovation, Unit for Health Innovations
- Nicky Hekster, IBM Watson Health – Expert in Big Data and AI
- Angel Martin, MedTech Europe – Chair Working Group on AI
Looking forward to virtually welcoming you on Tuesday 05 May 2020 from 11.00 to 12.00
My City-Lab project – financed by the European Regional Development Fund (ERDF) – aims to create 2 new primary care structures, called My City-Lab, integrating the innovation of laboratory medicine and mobile health. The scope of the project is to facilitate access to laboratory tests as part of an integrated and collaborative approach to ambulatory care of a chronically ill individual, as well as to contribute to the dynamic monitoring of patients with chronic diseases.