New funding, awards for metadata and UX excellence, and outstanding research articles are among the highlights of the past year at eLife.

In life sciences, enterprise value only emerges when generative AI is treated as a business capability and embedded into existing operating models.

Life sciences isn’t lacking AI pilots, dashboards or transformation strategies. If anything, there’s more activity than ever.

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

Experts say the emerging tech can dramatically accelerate advances in drug discovery, diagnostics and precision medicine.

As AI becomes more prevalent, organizations need to leverage the power of scope, scale, speed, and human-AI collaboration for differentiation. In partnership withZS and AWS Inspired by an ...

Creating, launching and funding Life Sciences ventures is a difficult and daunting task, especially given recent market conditions. This course is a practical, hands-on field course primarily designed ...

In most life sciences organizations, each function has built its own analytics environment with separate data models, dashboards, and reporting processes. Sales teams often rely on one set of ...