Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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 ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...