The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...

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 ...

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, ...

For decades, discovery has relied on "brute force" mass-screening – testing thousands of random compounds hoping one will ...

Real-time ¹⁹F NMR enables faster, more efficient pharmaceutical synthesis by improving reaction monitoring, scalability, and ...

The Food and Drug Administration (FDA) development and approval process for drugs and medical devices involves multiple phases that ensure the safety and effectiveness of products before and after ...

Stability is a critical factor in drug formulation, with implications for product quality, lifecycle management, and ...

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 ...

In Darwinian terms, survival isn’t a matter of being the biggest, the fastest, or the strongest of the species, but instead ...