AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

A study led by researchers at the Institute for Research in Biomedicine of Lleida (IRBLleida), the University of Lleida (UdL) ...

To counterbalance this, AI-driven predictive technology is helping clinicians to identify risk early enough for closer ...

Pecan AI Ltd. today announced the launch of its Predictive AI Agent, an agentic artificial intelligence system designed to help businesses forecast shifts in revenue, customer sentiment, demand and ...

When we set our expectations and operate based on the sequence of events that unfolded the last time a similar situation has occurred, we surrender to history.

A rtificial Intelligence is reshaping clinical workflows, patient outcomes, and career trajectories in hospitals and students ...

When infectious diseases surge, response often comes down to timing: whether communities can position the right people and supplies before case counts spike. A new tool developed by UC San Diego with ...

Tiny marine plankton that build calcium carbonate shells play an outsized role in regulating Earth’s climate, quietly pulling carbon from the atmosphere and helping lock it away in the deep ocean. New ...

Below are five AI-driven trends set to define telecom strategies in 2026. They collectively signal a shift from manual ...

A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.

A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.