NEWS & INSIGHTS

Insights, Updates,
and Trends in
Life Sciences

Explore our latest Insights, where we delve into leading-edge advancements in quality-driven solutions, software-enabled innovation, and the convergence of compliance, technology, and regulatory intelligence. This section offers a curated selection of thought-provoking articles, technical analyses, and forward-looking perspectives.

Data Quality and Integrity Considerations for Robust AI/ML Models in Life Sciences
Data Quality and Integrity Considerations for Robust AI/ML Models in Life Sciences

Data Quality and Integrity Considerations for Robust AI/ML Models in Life Sciences

In the life sciences industry, the development of Artificial Intelligence (AI) and Machine Learning (ML) models offers transformative potential, from advancing drug discovery to personalizing patient care. However, the success of these technologies’ hinges on the quality and integrity of the data they rely on.

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The Importance of Integrating AI/ML Activities Into the Software Development Lifecycle

As the adoption of Artificial Intelligence (AI) and Machine Learning (ML) continues to accelerate in (…)

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Verifying the Effectiveness of Software Risk Control Measures and Mitigations Through Software Assurance Activities

In the development of medical device software, ensuring patient safety and compliance with regulatory standards (…)

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Protecting the Software Supply Chain for Medical Device Manufacturers

As the industry increasingly relies on complex software systems—ranging from firmware embedded in medical devices (…)

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Improving the Integrity of Medical Device Software through DevOps and DevSecOps Processes

In the highly regulated world of medical devices, ensuring the integrity, security, and compliance of (…)

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