The AACE update to its 2026 algorithm for the management of type 2 diabetes includes a new section on diabetes classification ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Participants with type 1 vs type 2 diabetes mellitus and without diabetes may have a higher risk for incident dementia.

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...

As automation grows, artificial intelligence skills like programming, data analysis, and NLP continue to be in high demand across many fields.

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial ...

The fragrance market is experiencing a digital transformation due to the growing use of artificial intelligence in product discovery. Choosing a perfume online has traditionally been difficult because ...

Coronado’s Oliver Horton sets all-classification state meet record to win Class 4A cross country title In last year's letdown at the state meet, Oliver Horton came out too fast, gassed out, and ...

Authentication Failures (A07) show the largest gap in the dataset: a 48-percentage-point difference between leaders and the field. Leaders fix at nearly 60%, while the field sits at roughly 12%.