The emergence of AI and biosensors offers a chance to address inefficiencies in drug development.

Beyond sharing data, DQS aligns multiple data sources, including sponsors’ clinical trial management system data, public registries, and clinical trial databases, to provide a single, holistic, and ...

Forbes contributors publish independent expert analyses and insights. I write about the application of AI & Big Data to innovation and prediction. Feb 22, 2024, 03:42am EST Clinical trials are ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...

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 ...

BOSTON--(BUSINESS WIRE)--Seaport Therapeutics (“Seaport” or the “Company”), a clinical-stage biopharmaceutical company that is advancing novel neuropsychiatric medicines with a proven strategy and ...

Furthermore, increasing complexity in cancer clinical trial design has led to challenges such as protocol deviations, slow enrollment leading to lengthened durations of trial, and escalating costs. By ...

A significant unmet need exists for new and effective treatments for urothelial cancers (UCs). To identify optimal treatment options and improve outcomes for patients, trial design is of utmost ...