
France is home to a number of cities that have become key hubs in the MedTech industry. These cities support medical devices development, provide essential expertise in regulatory compliance (including CE marking and MDR regulation), and offer a strong foundation for market access. In this article, I highlight five cities in France that are leading the way in medical technology development.

When it comes to regulatory documentation, companies often need to translate the Summary of Safety and Clinical Performance (SSCP) into different languages to ensure compliance with local regulations . The French translation of Summary of Safety and Clinical Performance (SSCP) is particularly important for companies targeting French-speaking markets. In this article, I will guide you through the process of translating an SSCP, discuss why it is essential for medical device manufacturers, and highlight key factors to consider for an accurate and compliant translation.

Medical device translations are crucial for regulatory compliance, patient safety, and market entry. If you aim to distribute your device in Europe, Asia, or Latin America for instance, translation inaccuracies can result in significant legal and financial repercussions. This article explains the importance of accuracy in medical device translations for global expansion.

Medical writing is a specialized field that bridges the gap between complex medical information and its intended audience. Whether communicating with healthcare professionals or patients, medical writers must carefully tailor their approach, ensuring clarity, accuracy, and relevance to each group. While both audiences share an interest in healthcare topics, their needs, level of understanding, and expectations differ significantly. In this article, we will explore the key differences between writing for healthcare professionals and writing for patients.

The integration of Artificial Intelligence (AI) into the medical technology industry is transforming research and development (R&D) rapidly. AI's ability to process vast amounts of data, recognize patterns, and make predictions is accelerating innovation, improving accuracy, and reducing costs. This blog post explores how AI is revolutionizing MedTech R&D, the benefits it brings, and the future advances we can anticipate.

Over the past decade, advancements in 3D printing – also called Additive Manufacturing – have revolutionized the MedTech field, enabling the creation of highly customized medical devices, improving surgical planning, and even paving the way for bioprinting tissues and organs. The global 3D printing market in healthcare is expected to grow from $1.8 billion in 2020 to $5.7 billion by 2027, driven by the increasing adoption of 3D printed implants, prosthetics, and patient-specific surgical models.

In this blog post I will briefly explain how to use AI for medical translation and why human expertise still matters. Tools like AI-driven translation software can speed up the process of translating medical documents, such as patient records, medical device instructions, and regulatory forms. However, despite AI’s advantages, human translators are still necessary to ensure accuracy and reliability. AI should be used as a tool, not a replacement, especially when translating sensitive medical content. Below are five key things to keep in mind when using AI for medical translation.

Canada has emerged as a growing hub for medical device innovation, particularly in the MedTech startup ecosystem. With its strong academic institutions, world-class healthcare system, and robust government support for research and development, the country has positioned itself as a fertile ground for medical technology startups aiming to revolutionize patient care.

Virtual reality (VR), augmented reality (AR), and mixed reality (XR) are being increasingly integrated into medical technologies , with applications across education, surgical planning, patient rehabilitation, and mental health. These developments are supported by advancements in hardware, software, and imaging, enabling more precise, data-driven approaches in clinical settings.