From Data to Diagnosis: how federated learning protects patient privacy while shaping the future of healthcare
Wednesday 25 September 2024 -
14:00
Monday 23 September 2024
Tuesday 24 September 2024
Wednesday 25 September 2024
14:00
Welcome and Introduction
-
Anton Ussi
(
EATRIS
)
Welcome and Introduction
Anton Ussi
(
EATRIS
)
14:00 - 14:05
Room: 4/3-001
14:05
Multidisciplinary collaboration as enablers of digitalisation and AI (EATRIS)
-
Sara Zullino
(
EATRIS
)
Multidisciplinary collaboration as enablers of digitalisation and AI (EATRIS)
Sara Zullino
(
EATRIS
)
14:05 - 14:15
Room: 4/3-001
14:15
The Challenge in Stroke Treatment Optimisation (TRUSTroke Case Study)
-
Carlos Molina
(
Hospital Vall d'Hebron
)
The Challenge in Stroke Treatment Optimisation (TRUSTroke Case Study)
Carlos Molina
(
Hospital Vall d'Hebron
)
14:15 - 14:25
Room: 4/3-001
14:25
CAFEIN: CERN’s Federated Learning solution for the privacy-preserving training of AI algorithms (CERN)
-
Luigi Serio
(
CERN
)
CAFEIN: CERN’s Federated Learning solution for the privacy-preserving training of AI algorithms (CERN)
Luigi Serio
(
CERN
)
14:25 - 14:35
Room: 4/3-001
14:35
Industry perspective: Current efforts and bridging the gap (Siemens Healthineers)
-
Hanno Herrmann
(
Siemens Healthineers
)
Industry perspective: Current efforts and bridging the gap (Siemens Healthineers)
Hanno Herrmann
(
Siemens Healthineers
)
14:35 - 14:45
Room: 4/3-001
14:45
Round Table Discussion and Q&A
-
Anton Ussi
(
EATRIS
)
Round Table Discussion and Q&A
Anton Ussi
(
EATRIS
)
14:45 - 15:30
Room: 4/3-001