Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

Can AI predict your personality? New research shows machine learning can deliver DISC assessments 4x faster and with 93% accuracy. Learn how data science is identifying "hybrid" personality types and ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.

Google updated its Discussion Forum and Q&A Page structured data docs with new properties, including a way to label AI- and ...

Artificial intelligence has been a prime concern for cybersecurity for years, but it took on a new urgency at this week’s ...

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by recurrent intestinal inflammation, abdominal ...

In Precision Medicine Market To Attain USD 10.32 Billion By 2032, Witnessing A CAGR Of 31.35%, Says Markntel Advisors. NEW DELHI, March 25, 2026 /PRNewswire/ -- According to the in-depth study ...

Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...