Mathematical Biology Tumor Growth
Moving in bioRxiv, Cancer Cell, Cancer Research, Cell, Nature Communications, Science.
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Latest in Mathematical Biology Tumor Growth
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Biomedical world models spanning molecular to clinical scales can predict system responses to interventions, enabling proactive decision-making in medicine.
- Open access
The Virtual Biotech, a multi-agent AI system, improves drug development success rates by 48% and reduces adverse events by 32% through integrated analysis of biological data.
- 1 cites
Mapping 202 MRI-localized biopsies from 58 glioma patients reveals three key tissue states and 14 MRI habitats linked to tumor biology and progression.
- Open access
- 7 cites
Convex dose-response curves predict that continuous treatment outperforms uneven dosing in suppressing tumor resistance, supporting an antifragile therapy approach.
- Open access
Reducing cell-cell adhesion increases epithelial monolayer fluidity without altering cell shape, density, or tension, challenging existing shape-based models.
- Open access
PathPrism enables interpretable spatial tissue representations that enhance biomarker discovery and clinical predictions from routine histopathology slides.
PathPrism identifies hundreds of spatial biomarkers predictive of survival and molecular alterations in colorectal cancer, advancing precision oncology with 7,000 patient data.
- Open access
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- Lancet149
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Moving areas, week to 3 Oct 2026
- Single-cell and spatial transcriptomics10
- Artificial Intelligence in Healthcare and Education8
- CAR-T cell therapy research7
- Neuroinflammation and Neurodegeneration Mechanisms6
- Lung Cancer Treatments and Mutations5
- Diabetes Treatment and Management4
- Pancreatic and Hepatic Oncology Research4
- Photosynthetic Processes and Mechanisms4
- Genomics and Chromatin Dynamics4
- Gut microbiota and health4