To develop an interpretable machine learning (ML) model using routine blood parameters for high myopia (HM) screening as a convenient and cost-effective alternative to traditional methods. This ...

Primary vitreoretinal lymphoma (PVRL) is a rare and aggressive intraocular malignancy that is frequently misdiagnosed because of its nonspecific early manifestations and the lack of effective ...

Oxford University researchers have unveiled a new blood test, powered by machine learning, that shows promise in detecting multiple types of cancer in their earliest stages, when the disease is ...

In our newly published research, we used machine learning to identify healthy blood count ranges for individual patients and predict their risk of future disease. Clinical tests and complete blood ...

If you’ve ever had a doctor order a blood test for you, chances are that they ran a complete blood count or CBC. One of the most common blood tests in the world, CBC tests are run billions of times ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...

Researchers identified a 14-protein blood signature that may predict lung cancer years early, potentially enabling earlier ...

A study led by Georgia Institute of Technology's Associate Professor Costas Arvanitis takes a major step toward safer and ...

Scientists have identified a blood-based protein signature that could help predict lung cancer up to five years before ...

Over 60% of U.S. adults have risk factors for type 2 diabetes, far more than current diabetes prevention programs can realistically serve. Since diabetes often develops gradually ...

If you’ve ever had a doctor order a blood test for you, chances are that they ran a complete blood count, or CBC. One of the most common blood tests in the world, CBC tests are run billions of times ...