This is a great opportunity. If I was 25 years younger, I would definitely apply.

Mathematical Foundations of Oncological Digital Twins - Isaac Newton Institute The workshop aims to bring together mathematicians, oncologists, data scientists, and computational biologists to explore and advance the mathematical...

Fantastic upcoming 2-day workshop on digital twins for cancer care at Oxford's Isaac Newton Institute, September 18-19 this year.

This workshop will have a fantastic set of experts, and I'll also give a keynote talk on our cancer immunology work. 🧪 1/8

Apply at: www.newton.ac.uk/event/ooew07/

Excited to share our new study on how resistance to AKT inhibition is linked to lineage differences within breast cancer 👇🏽 Stellar work @colindhratcliffe.bsky.social www.biorxiv.org/content/10.1...
and also surprisingly/worryingly good AI generated podcast 🎧 notebooklm.google.com/notebook/28e...

Delighted to share the work of @gounismichalis.bsky.social describing how metabolic reprogramming of micrometastatic cells influences EV release to generate invasive microenvironments.Michalis is an immense talent & it really is an honour to share his PhD work & my first senior author paper #ProudPI

The extracellular matrix in cancer: from understanding to targeting Significant advances in matrix biology research have enhanced our understanding of individual matrix components and extracellular matrix (ECM) signalling. The dysregulation of the ECM during the development of solid tumours is a critical area of investigation. Despite recent progress, further investigation into the role of the ECM in cancer progression and therapeutic targeting remains essential for improving outcomes. This study is especially relevant for ECM-rich cancers, such as pancreatic cancer, which is characterised by dense fibrosis that impacts all stages of tumour development, including initiation, progression, and chemoresistance. Currently, no matrix-targeting agents have achieved mainstream clinical implementation. Challenges in this field include insufficient integration of new technologies, and limited understanding of cross disciplinary influences and of the complex, multifunctional nature of the ECM. In this review, we highlight key areas of matrix biology research that are crucial for advancing cancer treatment.

The extracellular matrix in cancer: from understanding to targeting

AI4CellFate: Interpretable Early Cell Fate Prediction with Generative AI Live-cell imaging provides a unique insight into complex cellular processes including single cell fate, but remains limited by both low-throughput and the lack of generalisable analytics for the multi...

Really neat study applying new ML methods to our imaging data to predict the fate of lung cancer cells following EGFR inhibition.
www.biorxiv.org/content/10.1...
see also
www.biorxiv.org/content/10.1...

Thought provoking new study from the Sixt and Hannezo groups - the texture of the environment impacts collective vs single cell cancer invasion www.biorxiv.org/content/10.1...

Happy to share details of this meeting and the exciting line-up of speakers. Hope to see you there. Please re-post www.crick.ac.uk/whats-on/5th...

Many paths, one destination: Bridging the gap in cancer care This special issue of Cancer Cell is dedicated to “bridging the gap between foundational cancer biology and clinical oncology.” We asked scientists and clinicians to give us a brief “state of the fiel...

Delighted to have contributed to this interesting set of perspectives on bridging gaps between fundamental and clinical research www.cell.com/cancer-cell/...