Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...

A large meta-analysis finds that colorectal cancer leaves a reproducible microbial fingerprint across stool and tumor tissue, raising hopes for future screening research while pointing to dietary ...

On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...

Seizure unpredictability is one of the most debilitating aspects of epilepsy. In recent years, advances in processing power, machine learning, and statistical modeling have accelerated a paradigm ...

Summary: Researchers established the first direct, non-invasive molecular tracking method to objectively measure sleep deprivation within human bodily fluids. P The research team tracked healthy adult ...

Abstract: This research investigates a new method of blood group prediction based on fingerprint patterns processed by Support Vector Classifiers (SVC). Conventional serological techniques are ...

The company — whose recent vulnerabilities have been hit with zero-day and n-day exploits — also released three patches for flaws in FortiOS and FortiAP. Fortinet released a batch of patches across ...

Researchers at the University of Sussex, in collaboration with scientists from different institutes worldwide, have identified a blood test capable of early diagnosis of the most aggressive form of ...

Researchers at the University of Sussex, in collaboration with scientists from different institutes worldwide, have identified a blood test capable of early diagnosis of the most aggressive form of ...