As drug candidates discovered via AI move into later-stage clinical trials, the technology seems to be doing as promised: ...
Together with robust data-driven modeling, rethinking regulation and data use could push forward a notoriously challenging ...
Rare disease clinical trials are smaller and often use surrogate endpoints, reducing costs but posing unique operational ...
The future of clinical research depends on people just as much as strong systems and processes. Learn what makes great ...
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 Brighterside of News on MSN
Scientists map a road to fairer, more inclusive drug development
A new analysis of drug trials used to approve medicines in the United States shows how far modern medicine still has to go to ...
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 ...
BullFrog AI Holdings, Inc. has introduced bfLEAP™, an advanced platform designed to enhance the drug development process in biopharma by utilizing AI and machine learning for greater predictive ...
The Chosun Ilbo on MSN
Global and Korean Pharma Race Alzheimer's Drug Development
U.S. pharmaceutical company Eli Lilly plans to disclose the top-line results of its phase 3 clinical trial for ‘remternutux,’ a new drug candidate being developed as a successor to its Alzheimer’s ...
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 ...
The pipeline of anti-obesity medications (AOMs) is rapidly expanding, with more than 170 assets in development 1 — a surge driven by the success of incretin mimetics like semaglutide and tirzepatide. ...
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 ...
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