Challenges and opportunities for the next generation of computational tumor models.
Mathematical models have become essential tools for exploring the complex interplay between cancer cells and their microenvironment, but require multidisciplinary expertise and abundant biological data to develop. AI is leading the way towards the next wave of tumor models.
Saved in:
| Main Authors: | Lance L Munn, Rakesh K Jain |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-07-01
|
| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.3003269 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Challenges and opportunities for the next generation of computational tumor models
by: Lance L. Munn, et al.
Published: (2025-07-01) -
Computational simulations of tumor growth and treatment response: Benefits of high-frequency, low-dose drug regimens and concurrent vascular normalization.
by: Mohammad R Nikmaneshi, et al.
Published: (2023-06-01) -
Biomarkers of mRNA vaccine efficacy derived from mechanistic modeling of tumor-immune interactions.
by: Chrysovalantis Voutouri, et al.
Published: (2025-06-01) -
NEXT GENERATIONS OF CONSUMERS – CHALLENGES AND OPPORTUNITIES FOR BRANDS
by: A. Budac
Published: (2015-06-01) -
The Semantic Web: opportunities and challenges for next-generation Web applications
Published: (2002-01-01)