The flowchart and steps below outlines the best practice for processing industry-written and sponsored clinical trials at UAB. There are many small steps in each of the larger defined steps (see flow ...

The use of Artificial Intelligence (AI) and Machine Learning (ML) in clinical research is rapidly evolving, offering a glimpse into a future where medical innovation is driven by data-driven ...

A Swiss startup called Risklick has launched artificial intelligence software for clinical trials that the company claims can reduce development time and costs by as much as 35%, according to an April ...

Health systems and their technology vendors can work together to modernize clinical process maps using artificial intelligence – transforming them from static reference documents into living guidance ...

Clinical development is undergoing a structural shift. Protocols are growing more complex, budgets are shrinking, and expectations from regulators, payers, and patients continue to rise. Meanwhile, ...

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 ...

There is a great need to develop, standardize, assess, and validate clinical protocols and standard operating procedures for vascularized composite allotransplantation transplants, with the goal of ...

When discussing the future of clinical trials, people often focus on the promise of exciting new technologies, including artificial intelligence (AI) and predictive modeling. However, even the most ...