Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established ...

Scientists at the University of Cambridge have developed a new way to alter complex drug molecules using light rather than ...

The most familiar artificial intelligence (AI) applications include text generation, facial recognition, and autonomous driving. But there are other AI applications that deserve their share of ...

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 ...

Drug design and development is expensive, often insufficient, and laced with the tendency for failure. Traditionally, it’s a hit-and-miss process that can stretch over a decade and consume around $2.3 ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...

Find out how self-driving labs utilise data-driven approaches to enhance drug discovery efficiency and innovation.

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 ...

Medicinal chemistry, also known as pharmaceutical chemistry, is a branch of chemistry focused on the development of new drugs and the improvement of existing ones. It is an interdisciplinary field ...