There has been much discussion recently about how artificial intelligence and machine learning (AI/ML) will revolutionize pharmaceutical research. Substantial progress has been made in the discovery ...

Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

In my previous article, I discussed how AI is rapidly transforming the drug discovery process, significantly accelerating timelines and reducing costs. However, while AI's potential in this domain is ...

Scientists at the University of Cambridge have developed a new way to alter complex drug molecules using light rather than toxic chemicals—a discovery that could accelerate and improve how medicines ...

The FDA Modernization Act of 1997 established the Fast Track designation to expedite developing and reviewing new drugs designed to fill unmet medical needs and treat serious conditions. The FDA Fast ...

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

Developing a new medication can cost over $1 billion, depending on the drug’s complexity and expenses accrued via unsuccessful studies. Considering these costs, an optimized regulatory process is ...

Anthropic announced the creation of its new Claude Science tool, which aims to help scientists speed up the drug development ...

Adequate representation of study populations in low- and middle-income countries in global anticancer drug development trials is critical to develop affordable and accessible cancer care with optimal ...