It may be possible to predict diagnostic transition to schizophrenia and bipolar disorder from machine learning models.

A machine learning model using existing clinical data may help clinicians screen for comorbid anxiety and depression in ...

I have taught many students about the concepts of sensitivity and specificity of medical tests, spam filters, and other methods of classification. The core probability idea is that understanding ...

Multivariate analysis identified elevated D-dimer levels (>750 ng/ml) and reduced serum albumin as independent risk factors ...

Guangdong University of Technology researchers used a gas chromatography-based method to detect nonylphenol isomers in sewage ...

Bio-Techne (NASDAQ: TECH), a global leader in life science tools and reagents, today announced the launch of an expanded menu of human and mouse RNAscope™ in situ hybridization probes to advance ...

Healio spoke with Marvell Adams Jr., CEO of Caregiver Action Network, about how women caregivers are more likely to ...

The National Vector Borne Disease Control Programme (NVBDCP), under the Department of Health & Family Welfare, Government of ...

Colorectal cancer (CRC) is the second most commonly diagnosed cancer in China. Early detection and diagnosis of CRC are essential for improving survival rates. However, socioeconomic factors such as ...

Tight metabolic control during pregnancy, mainly keeping time in range during pregnancy (TIRp) and mean glucose levels within ...

Self-sampling offers numerous benefits, particularly for increasing screening coverage among underserved populations, while ...