Computational Personalised Medicine
As part of the Personalised Health and Related Technologies initiative (external pagePHRT), we are working on 3 topics:
1. Bladder Cancer: external pageMorphometric analysis of epithelial bladder cancer progression (PhD student: Franziska Lampart)
2. Prostate Cancer: external pagePersonalizing treatment of prostate cancer with image-based diagnostics informed by deep learning and physics-based models (Post-Doc: Dr Kevin Yamauchi)
3. In vitro fertilisation:
- iDoc grant: external pageOptimising IVF Outcome with a Computational Personalised Medicine Approach (PhD student: Leopold Franz)
- Reserach grant: Personalized Ovarian Stimulation Protocols: A Translational Medicine Approach for Optimizing Fertility Outcomes (PROSPECT- study) (Collaborators: Christian De Geyter (Uni Basel), Susanne Ulbrich (USYS, ETHZ)) Open Post-Doc position
Morphometry and mechanical instability at the onset of epithelial bladder cancer
Lampart FL , Vetter R, Yamauchi KA, Wang Y, Runser S, Strohmeyer N, Meer F, Hussherr MD, Camenisch G, Seifert HH, Rentsch CA, Le Magnen C, Müller DJ, Bubendorf L, and Iber D external pagebioRxiv (2023), external pageTweetorial, ETH Globeexternal pageexternal page
FollicleFinder: automated three-dimensional segmentation of human ovarian follicles
Yamauchi K, Biniasch M, Franz L, Gomez H, De Geyter C, Iber D
external pagebioRxiv (2022), external pageTweetorialexternal page