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 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 ...

Funding and clinical trial-based barriers must be addressed to ensure success on the path to developing a DMT for Parkinson’s.

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 ...

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, ...

The potential of using artificial intelligence in drug discovery and development has sparked both excitementand skepticism among scientists, investors and the general public. “Artificial intelligence ...

The drug development process necessitates the comprehensive evaluation of a candidate’s therapeutic benefits alongside its potential risks. Benefit–risk assessments are central to this endeavour, ...

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

Agentic AI could reshape drug development. In this interview, Dr. Claudio D’Ambrosio discusses how agentic AI can identify novel drug compounds, improve trial design, and reduce operational ...

Global harmonization of CMC guidelines is a key focus for top pharmaceutical consultants. Variations in regulatory requirements across regions often create inefficiencies in drug development—for ...