A new risk prediction model shows good predictive value in identifying risk for neurogenic bladder (NB) after spinal cord injury (SCI) and guiding clinical interventions, according to a study ...

Antibody therapies are changing the treatment of cancer, inflammatory diseases and infections. However, many promising drug ...

When AI makes talent analytics more confident, it can make leaders more blind. Scorecard Blindness is the hidden cost of getting prediction exactly right.

Second Play Concept 325 km from Lawson Designed to Demonstrate System Repeatability and Scale While Also Accelerating MAXX LEMI Predictive Platform ...

Cyberabad Police on Wednesday reviewed the adoption of Artificial Intelligence-based predictive traffic management systems, aligned with European standards, at a meeting held at the SCSC Meeting Hall, ...

What if AI doesn’t control us through force, but through convenience—predicting our thoughts, smoothing decisions, and quietly shaping our behavior without us noticing?

AI-driven predictive analytics is reshaping how firms evaluate deals, manage risk, and plan portfolio strategies.

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...

The partnership integrates high-resolution multi-omics data generation with predictive multimodal machine learning to support biopharma decision-making in neurology.SALT LAKE CITY, Feb. 24, ...

Researchers use compressed AI models to discover "dot-detecting" neurons in the macaque visual cortex, offering a new path for Alzheimer’s therapy.

As disruption becomes constant, digital twins are emerging as essential tools for predicting and managing air cargo terminal ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...