Medable is taking its digital clinical trial platform to new heights: the Google Cloud Marketplace. Through the collaboration, Google Cloud’s infrastructure and AI features will be integrated into ...

Forbes contributors publish independent expert analyses and insights. Podcast and video host & producer, journalist and speaker/moderator. Every year, thousands of life-saving clinical trials are ...

Just over a month after announcing its new Clinical Data Studio, Medidata has its first big customer. Eisai announced July 25 that it is incorporating Medidata’s data studio into its clinical trial ...

Thermo Fisher Scientific, already a big player in providing services to the biopharmaceutical industry, is adding to its technology capabilities with the $9 billion acquisition of clinical trial ...

EQT is acquiring a majority stake in CluePoints, a provider of AI software for data interrogation and analytics in clinical trials. A focus on safety, efficacy, costs, efficiency, increased complexity ...

New drugs take too long to get to market because of clinical trial bottlenecks. Two cancer doctors built AI-enabled tech to speed up the process. As longtime cancer doctors with regulatory experience, ...

CONSHOHOCKEN, Pa., Feb. 25, 2026 /PRNewswire/ -- Suvoda, a clinical trial technology company, today announced new split budget functionality within its Budgeting & Benchmarking solution, expanding how ...

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 ...

Digit health technologies (DHT) are a key aspect of U.S. Health & Human Services (HHS) Secretary Robert F. Kennedy Jr.’s Make America Healthy Again (MAHA) agenda. DHTs are health care focused ...

Yvete Toivola, PhD, is the vice president of Product Development at Flywheel, where she leads the development of imaging-centered data platforms that support rigorous scientific and clinical research.

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...