Using augmented reality goggles surgeons will have the ability to see the exact location of a surgical site before making a single incision. Imagine going in for a surgery where the surgeon, instead of looking down and seeing only your swollen leg, can see the exact location of your fracture before making a single incision. Now imagine that this doesn’t require x-ray vision, but is possible through augmented reality (AR), used to overlay an image of a standard x-ray onto your broken leg. In fact, this technology is already being used in the medical field to provide better care for patients.

By 2025, consumers will be able to thoroughly analyze their health and well-being in real time through AR-based apps, giving them a snapshot of how time and unhealthy lifestyles would affect their bodies.

There is the urgent need for new diagnostic and treatment follow-up tools, which allow for the early detection of the pathology as well as for the continuous monitoring of the physiological responses to specific therapies. During the last years, a new generation of biosensor technologies with improved performance has emerged in the biomedical sector. The combination of advanced biomaterial methods, biochemical tools, and micro/nanotechnology approaches has resulted in the development of innovative three-dimensional (3D) biosensor platforms for advanced medical diagnosis. The most recent advances in the field of 3D biosensors for clinical applications, focusing on the diagnosis and monitoring of cardiovascular diseases, cancer, and diabetes. We discuss about their clinical performance compared to standard biosensor technologies, their implantable capability, and their integration into microfluidic devices to develop clinically-relevant models. Overall, we anticipate that 3D biosensors will drive us toward a new paradigm in medical diagnosis, resulting in real-time in implantable biosensors capable to significantly improve patient prognosis.

Remote patient monitoring (RPM) has enhanced clinicians’ ability to monitor and manage patients in nontraditional healthcare settings. RPM uses digital technologies to collect health data from individuals in one location, such as a patient’s home, and electronically transmit the information to healthcare providers in a different location for assessment and recommendations. More specifically, noninvasive technologies are now commonly being integrated into disease management strategies to provide additional patient information, with the goal of improving healthcare decision-making.

Digital technologies are continually being adopted as an additional method for healthcare systems to increase patient contact and augment the practice of preventive medicine.

Healthcare professionals have the ability to share health data with remotely based clinical experts for consultation, saving time and expense for practitioners and patients, and actively managing treatments for those with chronic conditions.

Health data are typically transmitted to healthcare professionals in facilities such as monitoring centers in primary care settings, hospitals and intensive care units, skilled nursing facilities, and centralized management programs, among others. Some noninvasive digital devices may be automated to capture and transmit health data without any action from the patient (i.e., biosensor or wearable devices); whereas, other technologies may require the patient to submit their own health data through a secure Web site, smartphone, or personal digital assistant (PDA).

Common clinical data captured by these technologies include vital signs, weight, blood pressure, oxygen levels, and heart rate.

30 innovators will present their healthcare technologies. The EntelMed Hackathon presentations will connect innovators to leaders, researchers, strategic partners, scientists and other resources to help create new products for the future of healthcare.