Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

AI improves Agile software delivery by enhancing planning, reducing defects, and increasing predictability, while challenges ...

By 2036, healthcare IT will likely be unlike anything we see today — not because of a single breakthrough technology, but because of how deeply digital tools are embedded into care delivery. Across ...

Algorithms analyze vibration patterns, temperature anomalies and pressure fluctuation locally, triggering alerts before ...

The insurance industry is experiencing a fundamental shift in how to define, understand, and quantify risk. Recent technological advancements have led to an explosion of data, demanding new processing ...

Daryl Shetterly, managing director of analytics at Orrick, which won the Legalweek Leaders in Tech Law Awards for Best Tech Training Program Implementation and E-Discovery Technology and Innovation, ...

Predictive modeling firm Recentive Analytics raised a $45M Series B funding round led by Wavecrest Growth Partners, with participation from Arthur Blank through AMB Sports and Entertainment and Steve ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

The global healthcare predictive analytics market is experiencing growth due to several factors such as convergence of data availability, technological advancements, regulatory imperatives, and ...

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 ...

New AI tools from Anthropic sparked a broad sell-off in software and data stocks. Executives say fears are overblown, but analysts warn of margin and pricing pressure. Investors are reassessing which ...