Digital tools and data analysis have already transformed the way health is monitored, diagnosed, predicted, and improved.
On February 7-8, 2017, at Stanford University, provocative scientists and technologists will lead discussions on AI for diagnosis and predictive health, adaptive medicine, novel sensors, digital pharma companions, brain computer interfaces, robotics, VR/AR/mixed reality, machine learning, computer vision, text analysis and crowd intelligence in healthcare, breakthrough surgical and diagnostic techniques, data analysis for optimized treatment – and other topics driving the “health sensor revolution.”
We will not re-hash corporate slogans and traditional thinking. Pure innovation is our rule. This conference was created for visionary investors, innovators, payers and providers, to focus on what’s next.
The result will be multidisciplinary solutions to save and enhance lives. Putting disruptive digital health tools into practice. Using them to benefit all, irrespective of wealth or location. Replacing the stigmas of mental illness with compassionate solutions. Managing chronic disease for a prolonged, active existence . Making medical treatment more humane, efficient and effective — and cheaper. Enabling healthier pregnancies, and the safe monitoring of babies and children. Allowing seniors to age in place with dignity. And creating elite athletes through body and brain feedback, monitoring and stimulation.
Following five events over two years in San Francisco and New York, the editors of ApplySci look forward to welcoming you to the 6th Wearable Tech + Digital Health + NeuroTech Silicon Valley conference this February.
The conference is co-sponsored by the Stanford Wearable Electronics Initiative (e-WEAR). Become an affiliate member of e-WEAR and learn more about Stanford activities on wearable electronics. The annual affiliate member meeting follows the conference on February 9th, 2017.