Name: From Data to Diagnosis: how federated learning protects patient privacy while shaping the future of healthcare
Start: 2024-09-25T14:00:00+02:00
End: 2024-09-25T15:30:00+02:00
Location: CERN

From Data to Diagnosis: how federated learning protects patient privacy while shaping the future of healthcare

Wednesday 25 September 2024 - 14:00
CERN (4/3-001)

: Sessions

: Talks

: Breaks

25 Sept 2024

14:00	Welcome and Introduction - Mr Anton Ussi (EATRIS) (4/3-001)
14:05	Multidisciplinary collaboration as enablers of digitalisation and AI (EATRIS) - Dr Sara Zullino (EATRIS) (4/3-001)
14:15	The Challenge in Stroke Treatment Optimisation (TRUSTroke Case Study) - Dr Carlos Molina (Hospital Vall d'Hebron) (4/3-001)
14:25	CAFEIN: CERN’s Federated Learning solution for the privacy-preserving training of AI algorithms (CERN) - Dr Luigi Serio (CERN) (4/3-001)
14:35	Industry perspective: Current efforts and bridging the gap (Siemens Healthineers) - Mr Hanno Herrmann (Siemens Healthineers) (4/3-001)
14:45	Round Table Discussion and Q&A - Mr Anton Ussi (EATRIS) (4/3-001)

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