Confronting the governance gap slowing safe and responsible AI adoption in healthcare. Just as CMMI brought discipline ...

Void claim rules reduced the risk of injury, compared to races that had no void claim rule; the strictest rule had the lowest odds ratio of an injury (0.76 per 1,000 starts) compared to races run with ...

If you're not a Federal Reserve economist, you should probably still be wary of Kalshi.

Why automation, data readiness, and financial discipline are defining winners in healthcare performance transformation ...

Heart disease is often thought of as a man’s problem, but women face unique risks that are sometimes overlooked. Early detection can be tricky because symptoms ...

This article is authored by Suman S, director, Rural Livelihoods, Dr. Reddy’s Foundation and Mukesh Kestwal, chief innovation officer, IIT Ropar (i-Hub-AWaDH).

Using AI maturity models as diagnostic tools allows organizations to build a successful digital transformation strategy that includes both speed and effectiveness.

Most organisations approach AI as a technology experiment rather than an operational transformation. Scaling requires more than building accurate models ...

A University of Glasgow-led research project is releasing a free tool to help organizations, policymakers, and the public maximize the benefits of AI applications while identifying their potential ...

For Kenya and the wider African context, the stakes are high. Effective circular systems could create jobs in repair and refurbishment, reduce dependence on imported raw materials, and ease ...

As integrated health technologies increasingly shape the future of heart failure management, this paper provides ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...