Computational psychiatry is an interdisciplinary field of research that applies computational methods to the early detection ...

Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

The researchers suggest that these advanced, pretrained machine learning models could expand the reach of machine learning-based cancer diagnosis ... cases of Bowen's disease, 575 cases of basal ...

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...

A simple urine test was found to detect prostate cancer with greater accuracy than the standard PSA (prostate-specific ...

A new “smart insole” system that transmits data based on a person’s gait could one day provide earlier warnings of dementia, ...

Detecting atrial fibrillation (AF) from brain scans using AI could support future stroke care, according to a recent study published in the Karger journal Cerebrovascular Diseases.

A machine learning model outperformed biological tests for latent TB in identifying HIV-positive people at high risk of ...

Optical biosensing technologies are transforming neurodegenerative disease diagnostics, offering innovative solutions for ...