Continuous process improvement can benefit all aspects of life — from personal New Year’s resolutions to complex drug development. In a world where two-thirds of planned improvement initiatives fail, ...

From survivorship bias to root causes! Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening ...

Pharmaceutical giants such as J&J, Merck, and Eli Lilly are embracing AI and prioritizing upskilling. They hope that training thousands of employees on generative AI will boost productivity in drug ...

July 2025 brought a flicker of hope for people with serious health needs: Congress exempted drugs with multiple orphan indications from the Inflation Reduction Act (IRA)’s Medicare Drug Price ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors and the general public. Researchers have applied ...

(a) Success rate, timeline, and cost (in billions) of traditional drug development versus RNA drug development, along with a description of the evolutionary progress of the latter. (b) The future ...

Drug developers are seeking to speed up the testing and developing of new drugs with the help of artificial intelligence (AI). Researchers at universities and pharmaceutical giants are testing how AI ...

General-purpose large language models (LLMs) that rely on in-context learning do not reliably deliver the scientific ...

The pharmaceutical industry is experiencing its own “DeepSeek moment,” according to science writer Hiya Jain. Just as the upstart AI breakthrough caught Silicon Valley off-guard, China is emerging as ...