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BEGIN:VEVENT
DTSTAMP:20260429T132240Z
DTSTART;VALUE=DATE-TIME:20250617T160000
DTEND;VALUE=DATE-TIME:20250617T170000
SUMMARY:TIA Centre Seminar Series: Spyridon Bakas (Indiana University Sch
 ool of Medicine)
TZID:Europe/London
UID:20250617-8ac672c7977cf57101977d0a5997001c@warwick.ac.uk
CREATED:20250617T083901Z
DESCRIPTION:Title: Real-World Federated Learning for Healthcare: Achievem
 ents so far & open research questions Abstract: This talk will focus on 
 Federated Learning (FL) for training\, evaluating\, and monitoring diagn
 ostic\, prognostic\, and predictive Healthcare AI models. It will compar
 e the current centralized learning with the proposed decentralized/FL pa
 radigm of multi-institutional AI studies\, in recognition of the need fo
 r large and importantly diverse data to capture diverse patient populati
 on demographics. It will further provide an overview of successful real 
 world FL initiatives for big data analysis. Finally\, it will present th
 e current open questions that need to be addressed to facilitate real-wo
 rld deployment of FL at scale across distinct geographic locations\, whi
 le keeping in mind the health system environment. Bio: Dr Spyridon Bakas
  is an Endowed Chair Associate Professor at Indiana University School of
  Medicine\, the Director of the Computational Pathology Division\, & the
  Director of the Center for Federated Learning in Medicine\, with his pr
 imary appointment in the Dept of Pathology & Laboratory Medicine\, as we
 ll as secondary appointments in the Depts of Radiology & Imaging Science
 s\, Biostatistics & Health Data Science\, Neurological Surgery\, & Compu
 ter Science. His group focuses on developing\, applying\, & benchmarking
  computational algorithms in medical imaging\, towards improving disease
  assessment and diagnosis in the current clinical practice. He is leadin
 g an NIH-funded group focusing on image quantification\, imaging-genomic
 s\, and federated learning (FL)\, towards enabling treatment selection m
 odels customized on an individual patient basis\, while addressing healt
 h disparities and inequities. His group has introduced FL in healthcare 
 in 2018 and driven the largest to-date real-world FL studies including d
 ata from 71 sites across 6 continents. He has co-authored >130 peer-revi
 ewed manuscripts and >90 abstracts\, with collaborators across academic 
 ranks and disciplines. He is a member of the MICCAI Society Board of Dir
 ectors\, the President of the MICCAI Special Interest Group (SIG) on Com
 putational Pathology\, the Vice Chair for Benchmarking & Clinical Transl
 ation in the MLCommons’ Medical group\, the co-lead of the AI-RANO worki
 ng group\, and has served as the organizer and chair of numerous challen
 ges\, workshops\, and tutorials at both technical and clinical scientifi
 c meetings. How to attend: Either turn up to the event on the day\, or i
 f you want to attend online then please contact Adam Shephard (adam.shep
 hard@warwick.ac.uk) for more details.
LOCATION:MB 0.07
URL:/fac/cross_fac/tia/seminars/seminars-24-25/#spyr
 idon_bakas
ATTACH:/fac/cross_fac/tia/seminars/seminars-24-25/#s
 pyridon_bakas
CATEGORIES:Applied Computing
LAST-MODIFIED:20250617T083901Z
ORGANIZER;CN=Adam Shephard:
END:VEVENT
END:VCALENDAR