Whether gluing or molding, designers must carefully address each challenge to ensure reliable, consistent, and accurate manufacturing – and to avoid costly redesigns or patient safety risks later.
AI and large language models (LLMs) are revolutionizing critical care by integrating scattered data from various sources to deliver real-time insights. This allows for prompt escalation or de-escalation of treatment and enhances patient outcomes. These technologies also help reduce staffing issues and prevent clinician burnout by continuously monitoring patient risk and supporting decision-making in busy ICU settings.
A digital companion, purpose-built for surgical patients’ pre- and post-operative journeys, is now an imperative for providers, payers, and medtech leaders aiming to achieve competitive differentiation, clinical excellence, and sustainable business value.
The medical device industry faces growing pressure to align U.S. and EU regulations, with the EU’s Medical Device Regulation (MDR) and the FDA’s Quality Management System Regulation (QMSR) setting new benchmarks.
President Trump’s 2025 executive order establishing artificial intelligence (AI) in pediatric cancer as a national priority marks a turning point in medicine. For decades, childhood cancer treatments have advanced slowly, constrained by limited data, small clinical trials, and therapies designed for adults. The convergence of AI and Functional Precision Medicine (FPM) now offers a path to faster, more accurate, and more personalized treatments for children, one that replaces population-based best guesses with evidence-driven precision care.