Artificial Intelligence and Big Data in Pharma - Impact on Healthcare

Max Planck Alumni Association (MPAA) with BioM as partner invites you for the AI-Workshop: Artificial Intelligence and Big Data in Healthcare.

Artificial Intelligence and Big Data in Pharma

Date and Place:
June 5, 2019
Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried
9:00 am - 7:30 pm

The event is free of charge but registration is recommended.

Max Planck Alumni Association
(MPAA) is organizing a series of events focused on Big data, AI and drug development. This workshop will focus on topics such as technology, diagnostics, precision medicine, drug discovery and ethics.

Take look at the program of "Artificial Intelligence and Big Data in Healthcare"

More information and registration under:

The healthcare industry remains to large extent unaffected by the recent progress in data processing capabilities. Partially this is explained by the tough regulatory environment and partially by ethical concerns. However, in many cases the slow adoption of new technologies is caused by the unawareness about the new potential use cases they open.

In this conference, we want to explore the possibilities for AI and Big Data to improve the way diagnostics and medications are being developed, validated, and deployed through novel cooperation formats within Pharma.

What a tech startup can offer to a Pharma company? Which data does an insurer require from patients to provide the best coverage from the fixed premiums? How an informatics Professor can be helpful to a medical doctor? With our speaker line and panel discussions we aim to start productive dialogue between different stakeholder groups.

The event will be accompanied by the exhibition of AI-inspired art and will be topped by the wine & cheese session.

The price is 15€ for Academy (students, professors) and 35€ for Industry. The price includes lunch, coffee breaks, and the wine & cheese session.

The event is organized by Max Planck Alumni Association (MPAA) together with IZB and BioM.