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BEGIN:VEVENT
DTSTAMP:20260612T232308Z
DTSTART;VALUE=DATE-TIME:20250512T140000
DTEND;VALUE=DATE-TIME:20250512T150000
SUMMARY:TIA Centre Seminar Series: Jakob Kather (TU Dresden)
TZID:Europe/London
UID:20250512-8ac672c595eb93c40195ebc284d502d9@warwick.ac.uk
CREATED:20250430T100055Z
DESCRIPTION:Title: AI Agents in Oncology Abstract: AI agents expand upon 
 traditional AI systems by autonomously executing multi-step tasks in can
 cer research and oncology. These systems can interact with software\, pl
 an iteratively\, and suggest therapeutic strategies or optimize drug des
 ign with minimal human input. AI agents show promise in automating intel
 lectual tasks in cancer research and supporting clinical decision-making
  in oncology. Significant challenges remain regarding regulatory framewo
 rks\, interpretability\, and ethical considerations for healthcare imple
 mentation. This talk provides a primer on AI agents in cancer research a
 nd oncology\, examining their capabilities\, applications\, and constrai
 nts. Bio: Professor Jakob Kather holds dual appointments in medicine and
  computer science at the Technical University (TU) Dresden\, Germany\, s
 erves as a senior physician in medical oncology at the University Hospit
 al Dresden and holds an additional affiliation with the National Center 
 for Tumor Diseases (NCT) in Heidelberg. His research is focused on apply
 ing artificial intelligence in precision oncology. Prof. Kather’s resear
 ch team at TU Dresden is using deep learning techniques to analyze a spe
 ctrum of clinical data\, including histopathology\, radiology images\, t
 extual records\, and multimodal datasets. Guided by the belief that medi
 cal and tech expertise needs to be combined\, medical researchers in his
  team learn computer programming and data analysis\, while computer scie
 ntists are immersed in cancer biology and oncology. Prof. Kather chairs 
 the “Working group on Artificial Intelligence” at the German Society of 
 Hematology and Oncology (DGHO) and is a member of the pathology task for
 ce of the American Association for Cancer Research (AACR). His work is s
 upported by numerous European and national grants\, which enable the tea
 m to develop new deep learning methods for medical data analysis techniq
 ues and to apply them in precision oncology. How to attend: Either turn 
 up to the event on the day\, or if you want to attend online then please
  contact Adam Shephard (adam.shephard@warwick.ac.uk) for more details. o
 pens in a new windowLink opens in a new window
LOCATION:FAB 1.05
URL:https://warwick.ac.uk/fac/cross_fac/tia/seminars/seminars-24-25/#jako
 b_kather
ATTACH:https://warwick.ac.uk/fac/cross_fac/tia/seminars/seminars-24-25/#j
 akob_kather
CATEGORIES:Applied Computing
LAST-MODIFIED:20250430T100055Z
ORGANIZER;CN=Adam Shephard:
END:VEVENT
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