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Life Sciences and Healthcare

A slow or poorly functioning clinical service desk does more than frustrate users. It disrupts care, strains compliance and drains clinician capacity, making Agentic AI support a strategic priority.

AI is moving into medical devices, robots and sensors, but the real story is whether the industry can overcome the challenges that will determine its success in clinical settings

As regulatory expectations shift toward continuous compliance, Physical AI helps life sciences manufacturers detect risks earlier, strengthen traceability and build trust before issues escalate

As regulatory complexity accelerates across life sciences, organizations need AI-driven regulatory intelligence to move from reactive compliance to faster, connected and auditable decision-making

Organizations that gain the most value from AI invest not just in models, but in the data foundations, interoperability and governance that make AI usable, trusted and scalable across the enterprise

In 2026, the real shift is not more AI pilots; it is enterprise-grade execution tied to measurable business and patient outcomes

HIMSS 2026 showed that healthcare organizations are moving from AI experimentation to scaled deployment, with governance, interoperability and cybersecurity shaping the next phase of transformation

Next-generation myocardial protection technology is transforming how surgeons safeguard the heart during complex cardiac procedures

At ViVE 2026, healthcare leaders discussed how AI is reshaping payer and provider operations while navigating financial pressures, workforce challenges and the need for scalable, integrated solutions

AI, platforms, cybersecurity and data ecosystems accelerate patient-centred innovation globally

Turning complexity to clarity as biological safety expectations evolve with the ISO 10993-1:2025 regulatory update

Digital intelligence is elevating the speed, quality and reliability of clinical documentation workflows