The landscape of health care management is undergoing a digital transformation. From the frantic pace of emergency departments to the strategic boardrooms of national health systems, data dashboards are no longer a luxury—they are a clinical necessity. These visual tools are redefining how providers track patient safety, how administrators allocate resources, and how public health officials communicate with the world.

The landscape of medical training is undergoing a seismic shift. From the hallowed halls of traditional lecture centers to the interactive screens of global learning platforms, Artificial Intelligence (AI) is no longer a futuristic concept, it is a present-day reality. AI is redefining how future doctors learn, how they are assessed, and how they will eventually treat patients.

As the landscape of computational biology continues to evolve, fostering strong ties between specialized societies and high-impact scholarly publishing is essential. We are pleased to announce that both the Editor-in-Chief and I, the Managing Editor of JMIR Bioinformatics and Biotechnology, will be presenting a brief talk at the upcoming MCBIOS 2026 conference (March 27–29, 2026, Moffitt Cancer Center, Tampa, FL). Our talk will focus on a new collaboration and an open call for submissions designed to highlight innovative research in the fields of computational biology, artificial intelligence, and health care innovation.

In the realm of preventative medicine, a one-size-fits-all approach often leaves historically underserved populations behind. For adults who are Deaf, Deafblind, and Hard of Hearing (DDBHH), the path to a routine cancer screening is frequently blocked by a complex web of systemic barriers. From the lack of health information available in American Sign Language (ASL) to the recurring struggle of ineffective patient-physician communication, these challenges do more than just cause frustration—they lead to delayed diagnoses and poorer health outcomes.

In the digital age, a ratio on social media is more than just a fleeting moment of internet drama, it can be a measurable signal of institutional trust. As global health crises like COVID-19 unfold, the battle for public confidence moves from official press releases to the real-time arena of social platforms. But can we scientifically measure something as complex as popular legitimacy simply by looking at how the world interacts with an organization on X?

When a patient walks into a doctor’s office today, they might notice something is missing: the frantic clicking of a keyboard. In exam rooms across Ontario, the traditional image of a physician hunched over a laptop is being replaced by eye contact, active listening, and a small, unobtrusive digital assistant known as an ambient artificial intelligence (AI) scribe.

Virtual Reality (VR) can be a powerful tool in mental health care, particularly for assisting with relaxation. By immersing users in calming natural environments, VR can effectively lower stress and anxiety. However, despite its potential, high-quality VR relaxation remains largely locked away in specialized clinics. The barriers are clear: stand-alone headsets are expensive, the software can be difficult to operate, and many apps aren't available in local languages.

As we close out another banner year at JMIR Publications, we’re taking a moment to celebrate the incredible growth of our YouTube community. In 2025, our mission to make high-impact research accessible reached new heights through our video series:Decoding Digital Health: Author Stories.

As we close out another banner year at JMIR Publications, we’re taking a moment to celebrate the incredible growth of our YouTube community. In 2025, our mission to make high-impact research accessible reached new heights through our flagship playlist:Decoding Digital Health: Author Stories.

Clinical trials rely heavily on the Schedule of Activities (SoAs), the detailed roadmap that dictates what data must be collected and precisely when. Traditionally, this roadmap is presented as a static, tabular chart within the study protocol. However, real-world research is rarely static. Patients miss visits, unexpected events occur, and complex study designs (like in oncology) require multiple treatment cycles and conditional branching.