Learn how biotechnology trials are transforming clinical data management systems, leveraging machine learning and advanced protocols to enhance efficiency and accuracy in data collection and analysis.

The correlation between the upfront time to build and release a clinical database and its impact on downstream data management.

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D flow MRI, computational fluid dynamics, and data assimilation, which ...

Intelligent document processing − using AI, machine learning and optical character recognition − allows information to flow ...

The intersection of artificial intelligence (AI) and wearable technology is ushering in a new era in healthcare—particularly ...

Q4 2025 Earnings Call Transcript July 15, 2025 AngioDynamics, Inc. beats earnings expectations. Reported EPS is $-0.03, expectations were $-0.13. Operator: Good morning, and welcome to the ...

PHARMASEAL announces Technical Integration Partnership with Viedoc: Nottingham, UK Friday, July 4, 2025, 16:00 Hrs [IST] PHARMASEAL, provider of the Engility Trial Management Plat ...

Kiran Veernapu is a Software Architect, developer, and leader with 24 years of experience in designing and implementing IT ...

The Kiteworks research reveals that 27% of life organizations acknowledge that more than 30% of their AI-processed data contains sensitive or private information. In pharmaceutical contexts, this ...

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