A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of CKD ...
Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
The Delphi-2M model seeks to predict a person’s next health event, and when it will happen in the next 20 years. Nan_Got/ Shutterstock Being able to instantly and accurately predict the trajectory of ...
*Important notice: arXiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...
Study: A multimodal sleep foundation model for disease prediction. Image credit: AnnaStills/Shutterstock.com In a recent study published in Nature Medicine, researchers developed a multimodal sleep ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
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