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

Researchers have developed new methods to test food for bacterial contamination that are faster and do not require expert training. The work is being done at the University of Connecticut College of ...

New research shows an AI-driven liquid biopsy analyzing genome-wide cfDNA fragment patterns can detect early liver fibrosis & cirrhosis and may signal broader chronic disease burden.

In the modern beauty industry, data-driven personalization is no longer a luxury-it is an expectation. However, building a medical-grade diagnostic tool from scratch is a monumental task, requiring ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

However, maintaining vast rail infrastructure networks has become increasingly complex as aging assets, extreme weather events, and rising traffic volumes place additional strain on tracks and ...

Ad fraud is the most prolific form of cybercrime. So why haven't you heard of it? TOKYO, JP / ACCESS Newswire / March ...

Bo Li, CEO of Virtue AI, is a prominent researcher and entrepreneur specializing in the safety and security of artificial intelligence systems. She leads Virtue AI while also serving as a Professor at ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based ...