Researchmachine learningcfdangiogenesismouse retina
Hemodynamic Factors Predict Vessel Pruning Sites
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6.2
Kumar et al. (2026) reconstruct 3D vasculature from 2D confocal images of P6 mouse retinas, simulate local blood flow, shear stress, and pressure using CFD, and train a machine-learning model to predict vessel pruning. They find that a combined metric of shear stress, blood pressure, and vessel radius tightly correlates with pruning sites, informing vascular normalization and targeted nanomedicine strategies.
Scoring Rationale
Combines CFD and ML with peer-reviewed validation; limited scope to mouse retina reduces broad generalizability.
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