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SUMMARY:Early disease risk prediction from longitudinal clinical records u
 sing AI
DTSTART;TZID=Europe/London:20260706T090000
DTEND;TZID=Europe/London:20260706T100000
DTSTAMP:20260702T102224Z
UID:766368f5-3575-f111-ab0e-7c1e52033aa9
CREATED:20260701T101654Z
DESCRIPTION:For the BDI Distinguished Seminar\, we will be hearing from Ch
 ris Sander\, Director of CBio Center and Professor of Cell Biology\, Harva
 rd Medical School. We’re delighted to host Chris in what promises to be 
 a great talk!\n\nDate: Monday 6 July\nTime: 9:00 am – 10:00 am\nTalk tit
 le: Early disease risk prediction from longitudinal clinical records using
  AI\nLocation: Big Data Institute\, Seminar Room 0\n\nAbstract\nThe Sander
  Lab\, with postdocs Asif Khan\, Duncan Forster and Moshir Harsh\, and wit
 h collaborators Chunlei Zheng and Nathaneal Fillmore at the US-VA\, Daniel
  Ritter at Harvard FAS\, Qi Wei and Jenn Hadlock at the Institute of Syste
 ms Biology in Seattle with Tanya Sorensen at Providence Health\, and Erica
  Warner\, Allison Chang and Lecia Sequist at Mass General Hospital are tac
 kling the challenge of combining health state foundation models with cance
 r-case supervised fine-tuning to predict cancer occurrence in specific tim
 e intervals. The models are trained on millions or real-world patient heal
 th trajectories and support the design and implementation of disease inter
 ception programs (early detection and prevention). This benefits patients 
 and reduces nation-wide health care costs. Test those at highest risk to c
 atch cancer early.\n\nShort biography\nChris Sander is a pioneer in biolog
 ical data science\, with recent innovation in computational cell biology a
 nd cancer risk stratification. He is faculty in Systems Biology at Harvard
  Medical School. He previously founded the Biocomputing Program at EMBL\, 
 the science program at EMBL-EBI\, the Computational Biology Program at MSK
 CC and the cBio Center at Dana-Farber Cancer Institute. \n \nSander made s
 ignificant contributions to protein folding\, functional genomics\, cancer
  biology\, and AI for biological problems. He was a leader in The Cancer G
 enome Atlas (TCGA) project and his group created the cBioPortal for Cancer
  Genomics and the Pathway Commons knowledge base. His current focus is on 
 perturbation biology for the design of anti-resistance cancer therapeutics
 \; and the prediction of cancer occurrence in specific time intervals usin
 g AI foundation models trained on millions or real-world patient health tr
 ajectories for the design of early-cancer interception (early detection an
 d prevention) programs.\n\n———————————————
 ————————————————————————
 —\nAll members of the University are welcome to join\, please let recept
 ion at BDI know you’re here for the seminar and sign-in. We hope you can
  join us!\n\nHybrid Option: Please note that these meetings are closed mee
 tings and only open to members of the University of Oxford to encourage sh
 aring of new and unpublished data. Please respect our speakers and do not 
 share the link with anyone outside of the university.\n\nMicrosoft Teams m
 eeting \nJoin: https://teams.microsoft.com/meet/325775227448167?p=usb3F9r2
 4a65W2IEDr\nMeeting ID: 325 775 227 448 167\nPasscode: wz9z9gS6\n\n——
 ————————————————————————
 —————————\n If you wish to know more or receive informat
 ion related to trainings and events at BDI\, please subscribe by emailing 
 bdi-announce-subscribe@maillist.ox.ac.uk. You’ll then receive an email f
 rom SYMPA and once you reply you’ll be on the list!
LAST-MODIFIED:20260702T084953Z
LOCATION:Big Data Institute - Lower Ground Seminar Room 0\, Lower Ground S
 eminar Room 0 Big Data Institute Old Road Campus Oxford Oxfordshire OX3 7L
 F United Kingdom
SPEAKER:Chris Sander (Harvard Medical School)
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