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 ...

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

Disruptive Futures Institute’s New Value Creation Pillar for a Liminal World as Conventional Sectors Dissolve and New ...

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

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

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

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

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 ...

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

Impairments in vision and motor functions are linked to an increased risk of developing dementia among older adults.