As wearable technology becomes a staple in both fitness and clinical monitoring, the demand for high-accuracy heart rate (HR) tracking continues to grow. While most smartwatches perform well at rest, the real challenge lies in maximal-intensity exercise, where heavy movement and physiological stress can interfere with optical sensors.

Real world data (RWD) is increasingly a key engine behind modern drug discovery and clinical decision making. However, anyone who has worked with electronic health records (EHRs) knows that this engine often relies on data that are fragmented and inconsistent. Laboratory results, which are the backbone of oncology care, are frequently plagued by inaccurate codes and missing units.

When we think of wearables in health care, we often think of step counts or heart rate alerts. But for women participating in home based cognitive rehabilitation (or telerehabilitation) a different type of data might hold the key to protecting brain health: nighttime sleep.

Scandinavia has long been a unique outlier in the world of nicotine consumption. When much of the world still relied on cigarettes, Sweden and Norway famously embraced snus, a small pouch of powdered tobacco leaves placed under the lip, that helped these nations achieve some of the lowest smoking rates in Europe.

The struggle for a full breath is a daily reality for those living with Chronic Obstructive Pulmonary Disease (COPD). While Pulmonary Rehabilitation (PR) is the gold standard for treatment, researchers are constantly looking for ways to push the boundaries of recovery.

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.