Effective leadership in the AI era requires embedding intentional growth into standard routines, not leaving it to chance or ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to detect potentially catastrophic health events.

The air quality monitoring software sector demonstrates robust expansion driven by stringent environmental regulations and escalating urbanization concerns. Rising adoption across industrial ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...

How Do Non-Human Identities Impact Security in a Cloud Environment? Have you ever pondered how non-human identities (NHIs) play a role? Where organizations migrate to cloud-based systems, security is ...

Q4 2025 Earnings Call February 19, 2026 5:00 PM ESTCompany ParticipantsSusannah Livingston - Vice President of ...

In an observational study that began enrollment last month, researchers will determine if continuous, remote lung sound monitoring via an FDA-cleared wearable is feasible in adults with COPD, ...