We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
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 ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
The aim is to find new uses of real-world data in AI development, and to help health systems move from fragmented, compliance ...
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
Gut microbes may influence heart disease risk more than previously thought. Study identifies bacterial patterns linked to ...
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, ...
We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...
Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.
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