Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Deep Learning with Yacine on MSN
Which Cross-Validation Method Should You Use in Machine Learning?
Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
A machine learning algorithm used gene expression profiles of patients with gout to predict flares.
A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...
News Medical on MSN
Cellarity's AI model predicts drug-induced liver injury
Cellarity, a clinical-stage biotechnology company developing Cell State-Correcting therapies through integrated multi-omics and AI modeling, today announced the publication of a seminal manuscript in ...
Discover how a machine-learning drug toxicity prediction model enhances the predictive power of AI in drug trials, boosting ...
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
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