# 'Crafting Digital Twins' Seminar Series :::info **Today's Topic: How computational modeling can design clinical trials** Date & Time: March 11th, 10am, hybrid at Alan Turing Institute, Margaret Hamilton Meeting Room Zoom Link: [Here](https://turing-uk.zoom.us/j/95986016289?pwd=OXZxenNTTERORkhmV2VTOXBaRFRodz09&from=addon) ::: **What?** [TRIC-DT Seminar Series](https://github.com/alan-turing-institute/tric-dt/tree/main/Seminars) is an interdisciplinary platform for [TRIC-DT](https://www.turing.ac.uk/research/research-projects/tric-dt) researchers & friends to **share and discuss the computational methods, algorithms, and models that underpin Digital Twin technology across diverse fields**. **Who?** ***Everyone** intersted in digital twin research* :::info ***If you don't receive email announcements about those seminars (start with [TRIC-DT Seminar Series] in subject matter - get in touch to be added to our mailing list!!!*** ---> digitaltwins@turing.ac.uk ::: ### in-person sign-ups (12 person max) - [x] Ludovica Cicci - [x] Marina Strocchi - [x] Cristobal Rodero Gomez - [x] Steve Niederer - [x] Karen de Cesare - [x] Maximilian Balmus - [x] Xiaoxue Shen - [x] Alexandre Lewalle - [x] Lianru Zang - [x] David Wagg - [ ] (insert name) ### Seminar Schedule | Date | Time | Topic | Room | Speakers | Notes | Slides |------------|-------|-------|--------|-------------------|-------|------- | 2024-03-11 | 10:00 - 11:30am | How computational modeling can design clinical trials for patients who are not average | Remote | [Thomas E. Yankeelov](https://www.bme.utexas.edu/people/faculty-directory/yankeelov) | [HackMD](https://hackmd.io/Li7KoayOS9uUefdxpvoDkQ) | tbc | 2024-04-25 | 12:00 - 16:00 | Knowledge Graphs | Ada Lovelace | [Xiaoxue Shen](https://digitwin.ac.uk/team/xiaoxue-shen/), Guest speakers: [Dr Jethro Akroyd](https://www.ceb.cam.ac.uk/directory/jethro-akroyd) & [Jiaru Bai](https://como.ceb.cam.ac.uk/people/jb2197/)| tbc | tbc ## Agenda | Time | Activity | | ---- | -------- | | 10 mins | Welcome & Updates | | 45 mins | (Guest speaker) Thomas E. Yankeelov "How computational modeling can design clinical trials for patients who are not average"| | 20 mins | Q&A | **How computational modeling can design clinical trials for patients who are not average** **Thomas E. Yankeelov** _Oden Institute for Computational Engineering and Science, Livestrong Cancer Institutes Departments of Biomedical Engineering, Diagnostic Medicine, Oncology The University of Texas at Austin Department of Imaging Physics, MD Anderson Cancer Center_ The overall goal of our research is to develop tumor forecasting methods by integrating advanced imaging technologies with predictive models of tumor growth to optimize therapy on a patient- specific basis. This is accomplished by dividing our efforts into approximately equal parts mathematical modeling, pre-clinical development, and implementation in clinical trials. This presentation will describe our recent efforts at calibrating mechanism-based mathematical models of tumor growth and treatment response with patient-specific magnetic resonance imaging (MRI) data to make patient-specific predictions for cancers of the breast, brain, and prostate. We then show how these data can be used to realize digital twins for designing personalized optimal therapeutic interventions. We will also describe some technical considerations related to making personalized, mechanism-based digital twins a practical reality. We posit that technical limitations are no longer the rate-limiting step for bringing patient-specific digital twins to clinical application; it is now a logistical and communication issue. Hopefully, the presentation will initiate some lively discussion on this topic. ## Q&A ---- ### Link List ✨ #### All Slidedecks & past recordings * Nov 23rd - Emulators: [Recording](https://thealanturininstitute-my.sharepoint.com/:f:/g/personal/sarana_turing_ac_uk/EqJlp-4ukL5FqcNW3mx5t9sBBMhMdDEpwn3ZB2Zq9R8Mdw?e=NnK9R9) & [autoemulate slidedeck](https://zenodo.org/records/10174843) #### General links * [TRIC-DT website](https://www.turing.ac.uk/research/research-projects/tric-dt) * [Seminar series page](https://github.com/alan-turing-institute/tric-dt/tree/main/Seminars) and [suggested topics](https://github.com/alan-turing-institute/tric-dt/issues?q=is%3Aopen+is%3Aissue+label%3A%22seminar+series%22) * [TRIC-DT Glossary](https://hackmd.io/npUXO9llSDqagVM3SntR_w) * [HackMD guide](https://hackmd.io/@turingway/hackmd-guide) ### Code of conduct * [Take a moment to read this](https://www.turing.ac.uk/events/policies-and-guidelines) ---