Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Psychiatric diagnosis still relies on symptom checklists that were never designed to reflect biology. A peer-reviewed invited review published in Brain Medicine now synthesizes recent advances across ...

Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and improving ...

A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...

The effort could supply data that finally gives pedestrian infrastructure the funding it deserves. New York City is a city of walkers. More trips are made on foot than by car (41% versus 28%) and the ...

By Rhett Ayers Butler Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.