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, ...

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

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 ...

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 ...

As I reflect on how we can more effectively bring treatments to patients, one central question emerges: How can we transform scientific discoveries into better treatments? The intersection of science ...

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 ...

AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by accurately predicting protein structures. This breakthrough holds significant ...

Overview Artificial intelligence seems to be transforming drug discovery in 2026, enabling faster molecule design, smarter clinical trials, and reduced R&D ...

"The future is already here—it's just not evenly distributed," Maulik Mukeshbhai Patel, a seasoned biopharmaceutical expert, remarked at a recent industry conference. His statement captures the ...

Duxin Sun receives funding from the NIH, FDA, and pharmaceutical industries including Bristol-Myers Squibb, Celgene Corporation, Aurinia Pharmaceuticals, Abbvie, Nanomedicine Innovation Center.