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If you are interested in modeling tumor response to treatment and findings from clinical trials are your main source of data, then this is for you mathematical-oncology.org/blog/tumor-mic…. I briefly discuss how differences between different types of clinical outcomes, tumors having subtypes 1/2

with distinct outcomes (e.g., a good response to neoadjuvant treatment but poor survival) and cell annotations that complicate such studies. Thanks to the Mathoncoblog team for their help and for posting this online.

and the cover is inspired by the story of elephant in dark room by Rumi

In our last post of the year Youness Azimzade explains how the tumor microenvironment influences cancer treatment responses and highlights the importance of understanding interactions between tumor cells and their surroundings mathematical-oncology.org/blog/tumor-mic…

Another post from Thomas Hillen.bsky.social describing a fantastic initiative at the Fields Institute last year: mathematical-oncology.org/blog/fields-th… #Maths #MathOnco #meetings

A pleasure to host the QBS today! What a fantastic seminar we had at CRUK Cambridge Institute given by Jeffrey West ! Very interesting data and models you presented! Hope to have you in Cambridge soon again!

AACR urges Congress to reaffirm its long history of steadfast and bipartisan support for medical research by ensuring that NIH has all of the resources needed to advance its lifesaving mission to prevent, diagnose, and treat cancer and other diseases: AACR.org/NIH

Another post, this time from Sebastian Benzekry, describing the vision of his research group “Mechanistic Learning in action at COMPO” mathematical-oncology.org/blog/mechanist…

It is happening. Pubmed (pubmed.gov) is gone. And so is cancer.gov. European science really needs to wake up. Technical info: tldr.nettime.org/@ww/1140899115…

It was great to be joined by Jamie Wilson, DBA and Dr. Patrick Hwu in DC for the AACR Early Career Hill Day AACR Moffitt GR Moffitt Ph.D. Graduate Program

Learning Dynamics with Neural Networks by Gibin Powathil and Jeffrey West amongst others: mathematical-oncology.org/blog/learning-…

Machine learning for model parameterization: mathematical-oncology.org/blog/machine-l… Sara Hamis John Metzcar Dr. Bernadette Stolz #MathOnco #MachineLearning

Whether you share using this or bluesky or both or neither, it is useful to share your ideas in a blog (like ours if you are a #MathOnco researcher) and then share the link with your social of choice: timeshighereducation.com/news/xs-domina…

New tool alert: Cancer classification from Copy Number Segments using CNSistent and #PyTorch mathematical-oncology.org/blog/cnsistent #tool #MathOnco #blog

In Silico Trials using Simulation and Artificial Intelligence for Therapy Evaluation by Rebecca Bekker in collaboration with other BIRS attendees: Renee Brady, Jana Gevertz and Harsh Jain: mathematical-oncology.org/blog/insite.ht…

The SMB - Society for Mathematical Biology's site for the 2025 Annual Meeting is now updated with plenary, minisymposia, contributed talks, and poster abstracts. Check it out!

My two NIH cancer research grants were terminated today. One involving breast cancer prevention is an “outstanding investigator award” and had received a perfect score by reviewers. How does ending lifesaving cancer research make Americans healthier? Harvard Medical School @aacr

Fantastic promotion and tenure presentation from Noemi Andor yesterday, sharing her journey investigating the, Phenotypic Consequences 88 of Karyotype Variation IMO Moffitt Cancer Center

Gosia uses HAL to investigate the fitness effects of new mutations in an explicitly spatial model where competition is purely driven by space IMO Moffitt Cancer Center