Machine learning identifies disease-specific signatures in organoids derived from schizophrenia and bipolar disorder patients.

The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly ...

For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.

Building on previous data studying organoids derived from patients with neuropsychiatric disorders, this computational model can differentiate between signals ...

Bitcoin stayed flat over the weekend, but that didn't stop newer cryptocurrencies from skyrocketing. Aster is up 97% over the past 24 hours, and Creditlink ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...

SK Telecom has made aggressive AI investments and has valuable stakes in startups, like Anthropic and Perplexity AI. Read why ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

To develop knowledge beyond text and videos, AIs must have realistic virtual playgrounds where they can make mistakes and learn.

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...