Multimodal and Generative AI for Pathology
For our next talk, in the Digital Phenotyping, we will hear from Dr Faisal Mahmood, Associate Professor, Harvard Medical School and the Division of Computational Pathology, the Brigham and Women’s Hospital. We are delighted to host Dr Mahmood in what promises to be a great talk!
Title: Multimodal and Generative AI for Pathology
Date: Thursday 4 July 2024
Time: 2:00 pm – 3:00 pm
Venue: Big Data Institute, Seminar Room 0; followed by refreshments in the atrium
Abstract: Advances in digital pathology and artificial intelligence have presented the potential to build assistive tools for objective diagnosis, prognosis and therapeutic-response and resistance prediction. In this talk we will discuss our work on: (1) Data-efficient methods for weakly-supervised whole slide classification with examples in cancer diagnosis and subtyping (Nature BME, 2021), identifying origins for cancers of unknown primary (Nature, 2021) and allograft rejection (Nature Medicine, 2022) (2) Discovering integrative histology-genomic prognostic markers via interpretable multimodal deep learning (Cancer Cell, 2022; IEEE TMI, 2020; ICCV, 2021; CVPR, 2024; ICML, 2024). (3) Building unimodal and multimodal foundation models for pathology, contrasting with language and genomics (Nature Medicine, 2024a, Nature Medicine 2024b, CVPR 2024). (4) Developing a universal multimodal generative co-pilot and chatbot for pathology (Nature, 2024). (5) 3D Computational Pathology (Cell, 2024) (6) Bias and fairness in computational pathology algorithms (Nature Medicine, 2024).
Bio: Dr. Mahmood is an Associate Professor at Harvard Medical School and the Division of Computational Pathology at the Brigham and Women’s Hospital. He received his Ph.D. in Biomedical Imaging from the Okinawa Institute of Science and Technology, Japan and was a postdoctoral fellow at the department of biomedical engineering at Johns Hopkins University. His research interests include pathology image analysis, morphological feature, and biomarker discovery using data fusion and multimodal analysis. Dr. Mahmood is a full member of the Dana-Farber Cancer Institute / Harvard Cancer Center, an Associate Member of the Broad Institute of Harvard and MIT, and a member of the Harvard Bioinformatics and Integrative Genomics faculty.
——————————————————————————————————————————————————————————-
Hybrid Option:
Please note that these meetings are closed meetings and only open to members of the University of Oxford. Please respect our speakers and do not share the link with anyone outside of the University. The purpose of these seminars is to foster more communication among employees throughout the University, so we strongly advise in-person attendance whenever feasible.
Microsoft Teams meeting
Meeting ID: 324 690 439 950
Passcode: gNXyve
———————————————————————————————————————————————————————————
If you wish to know more or receive information related to training and events at BDI, please subscribe by emailing bdi-announce-subscribe@maillist.ox.ac.uk . You’ll then receive an email from SYMPA and once you reply you’ll be on the list!
Date:
4 July 2024, 14:00 (Thursday, 11th week, Trinity 2024)
Venue:
Big Data Institute, Old Road Campus OX3 7LF
Venue Details:
Seminar Room 0
Speaker:
Dr Faisal Mahmood (Harvard Medical School)
Organising department:
Big Data Institute (NDPH)
Organiser:
Aiden Doherty (University of Oxford)
Organiser contact email address:
sumeeta.maheshwari@ndph.ox.ac.uk
Part of:
Digital Phenotying
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Sumeeta Maheshwari
