Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...

Black Book Research, in its 2026 research series on payer IT, software, and services, reports that data usability, workflow activation, identity confidence, and provenance gaps, rather than transport ...

UCLA scientists have developed a simple and cost-effective blood test that, in early studies, shows promise in detecting ...

Dubbed “GrafanaGhost,” the vulnerability could have let an attacker bypass both client-side protections and AI guardrails to send private data from a Grafana environment to an external server without ...

Mortgage rates stayed near 6.5% this week, with conforming at 6.52%, FHA at 6.21%, and purchase application growth slowing to ...

Across Asia, new initiatives are showing how satellite Earth observation data and AI-powered technologies can turn fragmented ...

Researchers suggest their approach has the potential to transform early disease detection and health monitoring across diverse clinical settings.

Scientists have developed a simple and cost-effective blood test that shows promise for detecting multiple cancers, various ...

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

Patent issued for precision-engineered scar tissue release tools designed for connective tissue fibrosis and fascial ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

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