OxTalks is Changing
OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
Building virtual cells for precision oncology
This talk was previously advertised as ‘Large scale genetic consortia’ by Professor Jemma Hopewell. Professor Hopewell's talk will be rescheduled for a later date. This meeting is also available to join remotely via Teams, please see abstract for details.
In contrast to the substantial progress in mapping human genomes, systematic efforts to chart the architecture of human cells are just beginning. I will describe our ongoing efforts to close this gap, including new machine learning approaches and new spatial proteomic datasets that systematically inform the makeup of diseased and normal cells. To construct a comprehensive map of subcellular architecture—including organelles, compartments, and the protein complexes that comprise them—we leverage self-supervised learning techniques to integrate diverse structural and functional omics modalities. This integrative approach yields detailed whole-cell representations of specific human cell types, which are subsequently used to train deep learning models capable of bridging genotype to phenotype. We have applied this framework to key challenges in precision oncology, demonstrating its utility in predicting responses to chemotherapy and CDK4/6 inhibitors, a frontline treatment for advanced breast cancer. The resulting insights into tumor resistance mechanisms inform the rational design of new therapeutic agents and synergistic drug combinations, which we validate through high-throughput screening and patient-derived xenograft models. Building on this foundation, we have collaborated with the broader research community to propose a set of Predictive Oncology Hallmarks—a framework for evaluating the accuracy, robustness, and translational potential of drug response models for clinical deployment.
Link for joining via Microsoft Teams: teams.microsoft.com/l/meetup-join/19%3ameeting_Y2RlYWY3MmEtNjg1Ni00NzJjLTk1MDktYThjZGI5OGM2NmQ2%40thread.v2/0?context=%7b%22Tid%22%3a%22cc95de1b-97f5-4f93-b4ba-fe68b852cf91%22%2c%22Oid%22%3a%22467ab6c0-d72f-4fc9-aec9-3618ee3020ba%22%7d
Date:
17 June 2025, 13:00
Venue:
Richard Doll Building, Old Road Campus OX3 7LF
Venue Details:
Richard Doll Lecture Theatre (Old Road Campus) and Teams
Speaker:
Trey Ideker (University of California San Diego)
Organising department:
Nuffield Department of Population Health
Booking required?:
Not required
Booking url:
https://www.ndph.ox.ac.uk/events/large-scale-genetic-consortia
Booking email:
events@ndph.ox.ac.uk
Audience:
Members of the University only
Editor:
Lulu Phillips
