Advancing Precision Oncology: Digital Twins and Symbolic AI in Triple-Negative Breast Cancer

In a collaborative effort between University College Institute (UCL) and the University of Cambridge, researchers have engineered personalized computational frameworks—often termed tumor "digital twins"—to forecast therapeutic responses and overcome drug…

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Open-Source Image Analysis Tool Provides Quantitative Assessment of MASH in Mouse Models

As published in Sage Journals, researchers have developed an accessible, machine learning-driven histopathology workflow that enables quantitative evaluation of metabolic dysfunction-associated steatohepatitis (MASH) in laboratory mice without requiring coding expertise…

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