Venous congestion from a vascular waterfall perspective: reframing congestion as a dynamic Starling resistor phenomenon. [PDF]
Intensive Care Med ExpCastro R +4 more
europepmc +1 more source
Explainable Hybrid Deep Learning Framework Integrating MobileNetV2, EfficientNetV2B0, and KNN for MRI-Based Brain Tumor Classification. [PDF]
Cell Mol NeurobiolAdamu MJ +7 more
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KidneyTox_v1.0 enables explainable artificial intelligence prediction of nephrotoxicity in small molecules. [PDF]
Sci RepAmin SA, Kar S, Piotto S.
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Machine learning models using multimodal data accurately predict chemotherapy-induced cardiotoxicity in breast cancer. [PDF]
Front Cardiovasc MedChen K, An Y, Wang Z, Nie F.
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Integrating machine learning with SHAP to uncover multi-tissue molecular signatures in Osteoarthritis progression. [PDF]
PLoS OneZhao J +9 more
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Enhancing mathematical modeling competencies through AI-powered VR. [PDF]
PLoS OneGürefe N, Öksüz H, Sarpkaya Aktaş G.
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Development of a Transient Wellbore Heat Transfer Model Validated with Distributed Temperature Sensing Data. [PDF]
Sensors (Basel)Nakamoto R, Leggett S.
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Incorporating teamwork in waterfall model-based project
International Journal of ADVANCED AND APPLIED SCIENCES, 2018 openaire +1 more source
Developing an interpretable machine learning model via SHAP to predict HCC postoperative survival based on tumor immune microenvironment CODEX immunomics and MRI. [PDF]
Cancer ImagingZou W +8 more
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The use of machine learning models to predict progression-free survival and overall survival outcomes from waterfall plots in randomized clinical trials (MAP-OUTCOMES). [PDF]
ESMO OpenAlshankati K +5 more
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