It's clear that medical innovation can not solely be done by doctors or just by biomedical engineers, physicists, or mathematicians. They must join forces - to clearly define problems, & find the right technology, science & computational intelligence - & then prepare solutions for physicians to evaluate & incorporate into treatment protocols. We understand that medicine in the 21st century will be next to the patient wherever he or she is, & not in the hospital. How do we do this? ApplySci sees several trends:
-The smartphone. We see a multitude of applications trying to utilize every sensor in the phone, to obtain vital sign & usage information, & produce medical conclusions. While it is smart to use what is already available, the question is whether is clinically sufficient. We are beginning to see a trend of wellness apps being given FDA approval. But it is likely that the apps that will survive five years from now will only be those which have been have shown true medical utility based on accurate measurement in clinical trials
-What we have on the phone might not be enough. We need additional sensors. One way is to innovatively extend the limits of existing sensors, with well known, proven science behind them, miniaturizing them, & making them easy to use. Examples include Empatica, which has disrupted seizure detection, created by roz picard, & the apple watch, which has moved from a slick consumer device to a medical grade wearable, particularly when it comes to monitoring the heart.
-Looking at existing hospital technology & saying how can we do it better? To miniaturize, reduce costs, & apply digital signal processing & machine learning to create a more useful device to provide better information than large scanning devices.
-Technology is rapidly advancing basic research, & biosensing materials for tracking, diagnostics, & drug delivery. From optogenetics to sweat composition to movement analysis & more.
-In addition to assessment & early detection of disease, there are lifestyle applications that require medical grade monitoring. Sleep is the focus of many, for good reason. Many sleep apps that measure movement with the phone. Because movement is not a sufficient indicator of sleep, this is not enough. Advanced sleep sensing plus advanced sleep engineering, requiring visual or auditory brain stimulation before or during sleep, has a very strong potential to improve quality of life, & reduce the risk of Alzheimer's, diabetes & other diseases.
These are just a few of many innovation paradigms that will be discussed at Wearable Tech + Digital Health + Neurotech Silicon Valley - the 10th edition of ApplySci's conference, & the live embodiment of the ApplySci blog. Join us as. we combine the thinking of physicians, physicists, engineers, & mathematicians to take healthcare delivery & drug discovery forward.
The conference is co-sponsored by the Stanford Wearable Electronics Initiative (e-WEAR). Become an affiliate member of e-WEAR & learn more about Stanford activities on wearable electronics. The annual affiliate member meeting will precede the conference.