AI

A guide to building AI agents in GxP environments

Healthcare and life sciences organizations are transforming drug discovery, medical devices, and patient care with generative AI agents. In regulated industries, any system that impacts product quality or patient safety must comply with GxP (Good Practice) regulations, such as Good Clinical Practice (GxP), Good Laboratory Practice (GLP), Good Manufacturing Practice (GMP). Organizations must demonstrate to […]

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Multi-Agent collaboration patterns with Strands Agents and Amazon Nova

Multi-agent generative AI systems use multiple specialized AI agents working together to handle complex, multi-faceted tasks that exceed the capabilities of any single model. By combining agents with different skills or modalities (for example, language, vision, audio, video), these systems can tackle tasks in parallel or sequence, yielding more robust results. Recent research shows that

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Fine-tune VLMs for multipage document-to-JSON with SageMaker AI and SWIFT

Extracting structured data from documents like invoices, receipts, and forms is a persistent business challenge. Variations in format, layout, language, and vendor make standardization difficult, and manual data entry is slow, error-prone, and unscalable. Traditional optical character recognition (OCR) and rule-based systems often fall short in handling this complexity. For instance, a regional bank might

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How Clario automates clinical research analysis using generative AI on AWS

Clinical outcome assessment (COA) interviews are important instruments in clinical trials for evaluating the efficacy and safety of treatments. In studies of psychosis, anxiety, and mood disorders, these assessments often determine the success or failure of the trial, highlighting the importance of data quality and reliability. The traditional approach to evaluating the quality of these

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