Biomedical Wellness Standoff Screening by Unsupervised Learning
Abstract
Biomedical Wellness (BMW) surveillance system may become indispensible in public health riding on four confluent trends: (i) The surge of retirement waves of WWII baby boomers; (ii) The longevity of the seniors, thanks to 3 decades steady NIH budgets~$23B per year; (iii) The economic melting down is exasperating resources for entitlements; (iv) The emergent Next Gen Internet having the last mile challenges solved entirely and friendly with IT wired and wireless delivery system, thanks to DoD/DARPA pioneer and numerous entrepreneurs visionary efforts. To be effective in job re-creation in current economic slag, BMW needs a jump start, WH/HHS should establish a balanced investment policy in health care, not just to illness but to wellness, and a BMW blue ribbon panel (BMWbrp), which must be, however, independent of NIHbrp, recommending additional resources, say $5B budget for BMW infrastructure building that will surely create new jobs to prepare badly needed geriatric caretakers. Being governmental investment, the BMWbrp must come back with an upward-conversion compatible infrastructure Blue-Print, version#1, an open architecture of standard interfaces, workable with distributed data bases and programming languages. The infrastructure must be simple, transparent, scalable, to leverage with a win-win-win (senior) CRADA from the private investments worldwide, e.g. from the insurance companies and home security companies, etc. that can further attract senior community center BOT. To start whenever the rubber meets the road, we shall enlist the military infrastructure, their sensors suite located in DoD & DHS labs supported with their affiliated contractors and universities. However, the down selections should be done under open bids, oversight by BMWbrp, under HHS $5B budget, to translate their sophisticated military persistent and precision surveillance know-how technology to watch out, no longer the enemy of USA but also, the enemy of mankind, the malicious microorganisms and disorders. The degree of friendliness must be demanded and measured by the standoff methodology such as 4 nones: noninvasive, noncontact, and none-stop-to-measure, in this order.
Since the regulatory red tapes are historically targeted primarily at drug treatment of disease analysis in three phases progressions, there is no category or direct regulation rules for BMW investigations. Avoiding legal complication, one may wish to collaborate initially with the Far East as AFOSR/AOARD did well with their category IRB/PCF rules, because the BMW is a BMW, no matter where and who there are seniors. To facilitate this purpose, one may create BMW phase zero feasibility study worldwide, say as an earmark of US annul contribution to WHO, which would be a Middle East peace dividend for a global village Marshall Plan. All PI’s and inventors worldwide can test their own gadgets in these and other federal labs to serve three parties well, at least in one of the following resolution scales: (i) the users (seniors of a family, a large community retirement or senior center, Desert Storm return PDS veterans, etc) to be monitored; (ii) the caretakers including home visit aids, nurses and physicians, and (iii) the nerve center including PC and/or data bases, and 6W searching engine with 3W hub linked to US CDC, UN WHO in all regions on Earth. Thus, a smart daily user-friendly screening and diagnostics is ideal to read, analyze and tabulate both physiological and mental wellness signs in a household PC hub.
We illustrate such an end unit of the smart BMW sensor web, in order to capture early malign tumors by means of a doublet of two commercial FLIR cameras, emulating the Army one cryogenic camera for two passive infrared spectral bands called the 3rd Gen FLIR. The twin FLIR cameras must first solve, not without errors, the 3D-subject 2D-projection correspondence challenge, and then the pair spectral vector per pixel becomes amenable to a patented unsupervised, and thus un-cohort-bias, smart learning algorithm called the Blind Sources (malign vs. benign) Separation (BSS). To entice the cost-reduction of the 3rd Gen FLIR camera development, besides the current modest success of breast cancer watcher, we need join force in dual usages, namely watching noninvasively over potential skin cancers of return sun-over-exposure soldiers, and watching covertly the distant biometric surveillance by a passive facial vein map against terrorist attack.
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