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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

Early diagnosis can improve treatment effectiveness and prevent severe disease. Advertisement In addition, unlike many machine learning methods that are black boxes , our approach is also ...