A new machine learning based test diagnosed Covid-19, HIV, flu, lupus, and type-1 diabetes by studying immune cells. Skip to Main Content Manage alerts for this article ...

Machine learning may help identify biomarkers and develop predictive models that could assist in the diagnosis of metabolic dysfunction-associated steatotic liver disease and hepatic fibrosis ...

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

FRIDAY, Oct. 4, 2024 (HealthDay News) -- A machine learning model based on pure-tone audiometry features can diagnose Meniere disease (MD) and predict endolymphatic hydrops (EH), according to a ...

In a new study reported in Science, scientists assessed the immune systems of 600 volunteers, including healthy individuals and patients with diseases such as type 1 diabetes. The investigators ...

Distinct microRNA signatures in the saliva of people with endometriosis provide a basis for a non-invasive diagnostic test ...

In a study of nearly 600 people — some healthy, others with infections including COVID-19 or autoimmune diseases including lupus and Type 1 diabetes — the algorithm the researchers developed, called ...

Researchers reported that the AI model could accurately distinguish between individuals with and without Parkinson's based on ...

A machine learning model trained on duodenal biopsy images achieves human pathologist-level performance in accurately diagnosed celiac disease (CD), with sensitivity and specificity above 95%. In ...