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, ...
Makary pointed to three bottlenecks: hospital contracting; ethical reviews and approvals; and the Investigational New Drug applications process ...
From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...
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 ...
NEW YORK (November 18, 2025) — Beyond the Science: How People, Process, and Systems Transform the Business of Life Sciences by Gary K. Zammit, PhD, is now available on Amazon and at major booksellers.
AI is transforming drug discovery, but accurately predicting patient responses remains challenging. Considering the ongoing need to connect drugs with the right patients and rising drug costs, ...
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 ...
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 ...
The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors, and the general public. Researchers have ...
The pharmaceutical industry is experiencing its own “DeepSeek moment,” according to science writer Hiya Jain. Just as the upstart AI breakthrough caught Silicon Valley off-guard, China is emerging as ...
Speaking at the BioAsia 2026 summit, Dr Chang said AI is fundamentally changing how science is conducted across research and ...
Key opportunities in the protein labeling market include increasing demand for site-specific tags in proteomics and drug development, the rise of AI tools for protein structure prediction, and the ...