In person (AstraZeneca Gothenburg) 12:00-17:00 and virtual
For further information please contact Ola Engkvist ola.engkvist@astrazeneca.com
Goal: To increase the collaboration between WARA Medicine and WASP affiliated academia in the field of ML/AI through organising a network meeting for the academics to understand the breath of activities within WARA Medicine that can mutually benefit from further collaborations in ML/AI.
Background: WARA Medicine is a goal and not a specific technology research arena i.e. the goal is to initiate collaboration in all types of ML/AI that can speed-up the delivery of medicines. While in some fields there are already collaborations between WASP affiliated academia and the companies in WARA Medicine, WARA Medicine is an effort to further strengthen existing collaborations and especially to start new one.
Moving forward with intense global competition in the life sciences together with generous funding in ML/AI through the WASP program from the KAW foundation we strongly believe much more can be done, both to expand existing collaborations for AI4Science, multi-agent systems, digital pathology and RWE, but also to identify other opportunities in important fields like robotics, data management and clinical sciences.
Note that the collaboration opportunities should be seen broadly and doesn’t necessarily need to be WASP related, but can also be in kind, DDLS, WISE, Vinnova, Horizon Europe etc including joint Master Thesis students.
For attendance, please notify Karolina StJohn by the 29th of August if you would like to attend in person or virtual. We will send out instructions how to arrive to the site and how to connect virtually before the meeting.
Schedule
12:00-13:00 Light networking Lunch
PGN Center (notify Karolina StJohn karolina.stjohn@astrazeneca.com about allergies and other food restrictions)
13:00-14:00 Introduction to AstraZeneca and our future ambitions
Room: PGN Centre Kappa.
Teams link will be provided for virtual attendance.
14:00-15:00 Division into three tracks
Track 1: AI for decision making and robotics Room: Kappa
This track will focus on discussing how agents and robotics can transform drug discovery and development
Presenters and discussion leaders: Samuel Genheden, Tomas Leek, Felix Bölle, Silvio di Castro
Samuel will send out Teams link to virtual attendees
Track 2: AI for science and imaging Room: Gamma
This track will focus on how we can make better predictions by combining ML/AI with physics including quantum mechanics, molecular dynamics and partial differential equations and how we can utilize image analysis better in fields like cellular screening and digital pathology
Presenters and discussion leaders: Mikhail Kabeshov, Christof Jäger, Magnus Röding, Bjarki Johannison, Christos Matsoukas
Magnus Röding will send out Teams link to virtual attendees
Track 3: AI for data and the clinic Room: KC3 Tistlarna
This track will focus on how we can develop ML/AI methods for handling and visualize data, improve clinical trial design and real-world evidence analysis
Presenters and discussion leaders: Claudia Cabrera, Peder Blomgren
Claudia Cabrera will send out Teams link to virtual attendees
15:00 Networking fika followed by informal discussions and if relevant visit to AstraZeneca’s labs
PGN centre
For in-person guests there will be also the opportunity to take the amazing journey which is a deeper introduction to Astra Zeneca in general at 16:00. Please notify Karolina StJohn if you like to attend the amazing journey.
