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 ...

A team of researchers at the University of Cambridge have designed a new approach to the preclinical drug development process using machine learning, which has the potential to speed up drug ...

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the next five years. Key factors driving this growth include the increasing ...

Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

When pharmaceutical companies develop a novel drug for the market, several steps are required to assess and regulate its safety, effectiveness, manufacturability, and reliability. These processes, and ...

Drug development pipelines are the lifeblood of the pharmaceutical industry. It is crucial for investors to understand milestones like FDA approvals and the impact of losing exclusivity on profits to ...

The pharmaceutical industry invests heavily in technologies—$57.4 billion in 2022 alone—to discover new therapies to treat our greatest health challenges. Yet drug development teams are still using ...

Scientists have long been challenged by the complex process of drug discovery and development, with investments that often go unrewarded. However, with the advancement of experimental technology and ...

One of the greatest achievements in the history of biopharmaceuticals occurred in January 2020, when Pfizer and Moderna used genetic sequencing provided by Chinese laboratories to design mRNA vaccines ...

AI automation throughout the drug development pipeline is opening up the possibility of faster, cheaper pharmaceuticals. At 82 years old, with an aggressive form of blood cancer that six courses of ...