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BEGIN:VEVENT
DTSTAMP:20260429T145549Z
DTSTART;VALUE=DATE-TIME:20250414T140000
DTEND;VALUE=DATE-TIME:20250414T150000
SUMMARY:TIA Centre Seminar Series: Peter Boor (RWTH Aachen)
TZID:Europe/London
UID:20250414-8ac672c595eb93c40195ebbf333e02d6@warwick.ac.uk
CREATED:20250331T103416Z
DESCRIPTION:Title: Towards ecologically sustainable AI for pathology Abst
 ract: Artificial Intelligence (AI) is already widespread in medical rese
 arch and will expectedly revolutionize clinical practice and health care
 . AI methods can be employed to analyze large medical data collections\,
  to diagnose disease or to perform prognosis of disease progression. Thi
 s is particularly true for pathology\, a medical diagnostic field mainly
  relying on image data Pathology might be one of the first areas of medi
 cine substantially transformed by AI. At the same time\, the growing ene
 rgy consumption and CO2 emissions associated with both development and l
 arge-scale application of AI models become a concern. AI promises benefi
 ts for the patient\, but comes at the cost of accelerating climate chang
 e. In this talk\, I will discuss the environmental consequences of using
  AI in pathology. I will also touch upon potential approaches to conside
 r and mitigate this towards a more environmentally friendly ā€œgreenā€ AI. 
 Bio: Professor Peter Boor received his medical and scientific training a
 t the Medical Schools of Bratislava in Slovakia and Aachen Germany. He i
 s the chair of Translational Nephropathology and senior consultant patho
 logist at the Institute of Pathology at the RWTH Aachen University. He a
 lso leads the Electron Microscopy Facility and Digital Pathology and is 
 the RWTH Lecturer. He is a member of several national and international 
 societies of pathology\, renal pathology\, and nephrology and received s
 everal prestigious awards and prizes for academic\, clinical\, and teach
 ing excellence. His research group\, the LaBooratory of Nephropathology\
 , focuses on diagnostic biomarkers with a particular focus on imaging\, 
 digital pathology\, and AI\, as well as in vivo animal modeling\, and un
 derstanding of pathological processes in CKD\, fibrosis\, and (micro)vas
 culature. He founded and is leading the German National Autopsy Registry
  (NAREG) and Research Network (NATON) and other research consortia. His 
 scientific work encompasses more than 340 original papers\, reviews and 
 editorials\, and several book chapters. Paper Link: Ecologically sustain
 able benchmarking of AI models for histopathology | npj Digital Medicine
 Link opens in a new window How to attend: Either turn up to the event on
  the day\, or if you want to attend online then please contact Adam Shep
 hard (adam.shephard@warwick.ac.uk) for more details.
LOCATION:MB 2.23
URL:/fac/cross_fac/tia/seminars/seminars-24-25/#pete
 r_boor
ATTACH:/fac/cross_fac/tia/seminars/seminars-24-25/#p
 eter_boor
CATEGORIES:Applied Computing
LAST-MODIFIED:20250331T103416Z
ORGANIZER;CN=Adam Shephard:
END:VEVENT
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