Structure of Medicine & BioEngineering Ventures

Structure of Medicine & BioEngineering “Ventures”


[I’ll start each of the 11 Units from scratch; no acquisitions.

Finance for Space. Hiring. Instruments: Manufactured@MyVentures.

Start: with marketable Products & Services (Units 1, 2, 3, 4 & 6) and bootstrapping from there.]

[Unit 1, 2, 3 & 4: Gadgets, Instruments & Healthcare Systems]

Unit 1: Digital Medicine & Digital Healthcare

Electronic Medical Record (EMR) Platform”

Mobile Health Gadgets. “Wearables”. Personal Medical Agent (on Smartphone, Tabs, etc.).

E-Health & M-Health [Developing Nations; Shortage of Physicians & Healthcare Providers].

Preventive Medical Service Delivery. 

Expert Diagnostic System. Decision Support System. AI.

Unit 2: Medical & Diagnostic Gadgets

Ultrasound. MRI & PET Scanner.

X-Ray & CT Scanner.

Laser. Colonoscopy. Pacemaker. Blood Testing Service.

Unit 3: Engineering & Consulting Services to Hospitals & Clinics

Hospital / Clinic Design: Emergency Care.

Training: Physicians, Nurses, Medical Assistants & Medical Technologists [jointly with “Education Ventures”]

Genome Sequencing Services. Gene Therapy Procedures. Molecular Medicine.

“AI Platform” for Physicians (Assistance with Diagnosis, Treatment Planning, Search, etc.).

Robotic Service Providers (at Hospitals). Robo-Nurses. Tele-Medicine.

Unit 4: Engineering & Consulting Services to Biotech – Bioengineering – BioPharma Industry

Drug “Manufacturing Facility” Development.

Research Equipment (used in Biotech & Bio-Pharma Industry). Example: Genome Sequencers.

[Unit 5 & 6: Medicine & Surgery]

Unit 5: Pharmaceuticals & Medicine [Core Bio]

Drug Development.

Drug Delivery System Development.

Unit 6: Surgical Procedures & Instruments [Gadgets, Instruments, Surgical Procedures]

Surgical Procedures. Imaging Tools.

Endoscopic Surgical Tools. 

Robotic Surgical Systems.

[Unit 7, 8 & 9: Study of Life – The Frontiers]

Unit 7: Core Bio & Molecular Medicine

Genome Sequencing. Gene Therapy Development. Gene Editing. 

Molecular Medicine.

Microbiome & Microbiology.

Stem Cell Research. Tissue Engineering. Regenerative Medicine.

Bio-Materials. Nano-Biotechnology.

Unit 8: Computational & Systems Biology

Modeling of Life & Living Systems.

Bioinformatics. Computational Biology. Systems Biology.

Computational Bio-Mechanics (Applicable to Sports Science).

Unit 9: Brain & Mind

Neurological Disorders.

Psychiatric Disorders.

Computational Neuroscience.

Neuro-Engineering: Artificial Retina. Electrode Implant. Prosthetics.

Unit 10: Preventive Medicine & Well-being

Child rearing: IQ, Creativity, Character Development, Health.

Adolescent Guidance.

Exercise & Nutrition. Food & Nutrition Research. Exercise Physiology Research.

Unit 11: Disease / Disability Focus

Separate Units / Sub-units:

Cancer. AIDS. Autism. Parkinson’s. Alzheimer’s. Motor Neuron. Cardiovascular Diseases. Cerebrovascular Diseases.

Infectious Diseases, Epidemics & Public Health.

Possible HQ Locations: Boston, Massachusetts. California. London.

America In Realization [02.26.15]

US Healthcare : Reducing Healthcare Spendings


US Policy Reform

UAV Regulation : The Issues of Security & Privacy


Around Africa [02.02.15]

Africa      #SayNoToCorruption

#Nigeria   #Egypt   #SouthAfrica   #SayNoToCorruption




Ebola Crisis   #OpenInnovation  #Crowdsourcing #AmericaInRealization


Kenya   #OpenInnovation   #Crowdsourcing   #BritainInRealization

Nairobi: The Kenyan capital is home to a tech-savvy elite, but ideas formed at this week's hackathon could benefit the entire country.

Nairobi: The Kenyan capital is home to a tech-savvy elite, but ideas formed at this week’s hackathon could benefit the entire country.


Youtube Playlist (Compiled By Me): News From Africa [02.02.15]

America In Realization [02.02.15]



US Healthcare

Healthcare IT 

Feds push electronic medical records [USA TODAY]

Biologic Drug

Biologic drugs—made from living cells, blood components and tissue as opposed to chemicals—are expected to generate up to $200 billion in sales by next year (WSJ)


Road Accidents



Demography : African Americans

Around Africa [02.01.31]

Ebola Crisis

“… parents are streaming into the schoolyard once again, with their restless children in tow, to register for the start of classes.

New Ebola cases in Liberia, now number in the single digits, according to the World Health Organization. In neighboring Sierra Leone and Guinea, new cases have fallen sharply in the last month.

 W.H.O. announced last week that it was focusing on a goal that had seemed out of reach for much of last year: ending the Ebola epidemic, no longer simply slowing its spread.”

Scientific Approach To Engineering

Scientific Approach To Engineering

I have never taken a single course in Aerospace Engineering.
But I am capable of single-handedly building a passenger Aircraft as big as Boeing and more advanced than anything the world has ever seen.
Moreover, building an Aircraft is simple for me.
How is it possible?
For me, building an Aircraft is utilizing “a few” basic laws of Physics and “a few” fundamental principles of Chemistry (Materials for Aircraft).
For Aerospace Engineers, building an Aircraft is complex and, surely out of reach for any single individual Engineer.
  • Because the Aerospace Engineer learns about “Jet Engines” and loses himself in details. (He doesn’t see that only a few basic Principles of Physics and Chemistry govern the design of a Jet Engine.) 


  • The Aerospace Engineer learns to calculate the wind pressure required to keep the Aircraft flying – and loses himself in details – on the size and speed. (He doesn’t see that a few basic Laws of Physics and Chemistry is enough to calculate and design the wings of an Aircraft and the amount of pressure required to support the weight of the Aircraft.)
  • The modern control system (built out of complex Software) that a modern Pilot uses to guide himself while running a plane – is out of reach of any single Aerospace Engineer. For me – designing and building the Software is simple.
This is how “being the best Scientist makes me the best Engineer”.
In brief:  
Physics and Chemistry – simplifies the world with a few basic principles (these are the laws of nature, the ultimate possibilites). If you learn those principles and you have enough imagination – you can build anything you can think of – from Passenger Aircraft and Satellite to High Speed Rail and Electric Car.

Scientific Approach To Engineering
Learning the ultimate possibilities through Science and building the ultimate Engineering Machines
I am more of a scientist – a Theory / Model Builder. And that makes me the best Engineer.
Whenever I try to learn something, I learn everything that can ever be learned about the subject – even knowledge that is yet to be discovered (of course by thinking, because everything that can ever be learned about a subject” is not yet documented anywhere in an organized way). 

So, when I am learning Robotics

I organize – everything that can ever be learned about Robotics – from the perspective of Physics and Computer Science (by thinking).

Physics defines the rules that the world follows – you can’t go beyond those rules. So to understand the ultimate Physical possibilities of Robotics – you have to think from the perspective of Physics.
I build the ultimate “Model”s of the world.

Researchers work on building better“Model”s of parts of the world, try to “improve upon”current devices. So a researcher working on – say, Optogenetics, asks specific and limited questions – 

what other protein respond to light? 
What other wavelength of light can we use to control neurons?

While, I ask general questions (the ultimate possibilities)– 

What are the ways we can “control” neurons? Shining light from outside and building sensors (out of protein) that respond on neurons is one way.

How far can we go with Optogenetics? Creating a Magnetic Field is another way to control parts of the brain.

This is my approach – I try to learn everything that can ever be learned – because Science sets the ultimate possibilities

That’s how being the Best Scientist makes me the Best Engineer.

Related Links


Physical Digital Computing

  1. Emerging Area: Physical Digital Integration
  2. Physical Digital Integration: Cloud Manufacturing & Car 2.0
  3. Smart Home With Physical Digital Integration: What The Future Holds
  4. Could Manufacturing Be The Key To American Lead In Global Economy?
  5. The Science of Reading: Paper versus Screens
  6. On The Future Of Manufacturing: From Scientific American
  7. The Story Behind Physical Digital Computing
  8. Personal Notes On Book 2.0
  9. Personal Notes On Robotics
  10. Personal Notes On Manufacturing [Unofficial]
  11. Personal Notes On 3D Printing, Additive Manufacturing [Unofficial]
  12. Personal Notes On Digital Sports – 1 [Unofficial]
  13. Designing Information Interface For The Next 5 Billion
  14. “Things That Think” From Prof. Neil Gershenfeld
  15. Physical Digital Interaction / Experience / Product Designer
  16. Personal Notes On Exponential Technologies [Unofficial]
  17. Personal Notes On Physical Digital Computing – 1 [Unofficial]



Manhattan Scale Research” in BioSciences, Translational Medicine and BioEngineering

I’ll soon start “Manhattan Scale Research” Project in Medicine and BioEngineering – that will define the frontiers of Healthcare, Medicine and related fields – like Environment, Energy (Fuel; Photosynthesis inspired Solar Cells?) & Sustainability, Agriculture.

  • Cancer, Ebola, Parkinson’s, AIDS, Alzheimer’s,
  • Disabilities and losses (Eyesight loss; Limb Amputee, etc. <- Stem Cell & Regenerative Medicine. We can replace with Mechanical / Physical parts as long as we our Stem Cell / Regenerative Medicine Tech is not advanced enough – but remember – Biology – is the ultimate technology.
My Guiding Principle: 
Restore the Normal
(as opposed to the “Artificial” – Mechanical devices or Pills or Drugs)
– possibly through:
  • Stem Cell / Regenerative Medicine
  • Gene Therapy.
As long as we can’t make headway in “Stem Cell – Gene Therapy”,
we can do away with “Drugs and Devices” (“Artificial” means),

but the ultimate future of Medicine lies in Biology.

Excited about the CRISPR DNA-editing technique? or Stem Cell Therapy? You are on the right track! Because that’s the future!
My Plan is to build
  • Medical / Scientific / Engineering Equipments (that would be required in my own research) and
  • Sell and use the profit to fund my research / further work.
So only limited funding would be required in the first phase – and from that point on self – funding / reinvesting.
Equipments would require continuous innovations and improvements. For example,
  • Gene Sequencers (Bringing down the cost of Gene sequencing of a single Genome to several hundred dollars or maybe $100.)
  • Robots that automate much of Experimental work. [Consider: Combinatorial Chemistry – parallel reactions]
Another line of products (lots of innovations)
  • Medical / Surgical Equipments (from smaller Ultra-Sounds to “Da Vinci”-like Surgical Robots)
  • Healthcare IT Infrastructure and Services (to Hospitals, Clinics) – Examples:
    • Sensors that measure Body parameters and store data in Database / Cloud <- Big Data 2.0 on Data;
    • Watson-like AI on Medical Literature (e.g., Pubmed) to augment Medical Researchers and Physicians


A few 

BioEngineering / BioMedical Engineering / Molecular Biology / Cell Biology / BioChemistry / BioPhysics / BioInformatics / Computational Biology PhDs

– each concentrating on a particular part – under my supervision:

  • One researcher concentrating on Transport system of Cells – 2013 Nobel Physiology or Medicine Prize Work (Collaborating with other researchers focused on other Cellular organelles or Extra-cellular Matrix)
  • Another researcher concentrating on Spatial Representations and Motor Planning in the Brain – 2014 Nobel Physiology or Medicine Prize Work
  • Couple working on how to repair / replace Damaged Organs with Tissue / Organs grown from Stem Cells – carrying on the 2012 Nobel Physiology or Medicine Prize Work
– I’ll teach, guide and help them grow.
[Areas mentioned above are – studying the “Natural” – life as it is.]
Policy Reform:
I will review and modernizethe FDA (Drug, Medical Device) appoval process.
Going through a process that takes 10 years and costs Billion Dollars – after inventing a drug [and device] – to bring it to market – kills off many promising drugs.
[This is how having access to everything – will enable me to bring about Revolutionary Changes. No company could think of modernizing FDA approval process – however bad they wanted it.]
Other “Manhattan Scale” Projects / Innovations:


Education Platform
  • Huge! Reinvention of Education. Changes the way Education is delivered, the way how people learn in each and every country of the World. [Microsoft?]
  • E-Book 2.0 / E-Magazine 2.0 / E-Newspaper 2.0 & Digital Publishing

Artificial Intelligence Platform
    • Watson-like Natural Language Understanding + A Lot More 
  • Less computational resource requirement; Highly developed Knowledge Processing / Reasoning 
  • Apps and Services on Top of the Platform

Cloud Manufacturing Platform + Physical Digital Computing Division
    • This is where the Medical / Surgical / Scientific Equipments would be manufactured. 
  • + Manufacturing Equipments and Services for Companies 
  • Materials / Nano / Applied Physics / Engineering Research

Knowledge Based Robotics
    • Imagine: Robot Engineers repairing your Car.
  • Robots in Industry. Home. Healthcare. Service Robots.

Computer Reimagined [Computer Architecture; Processor; Hardware; Novel Material, UI]




On Microsoft, Redesign Of Microsoft Band and How "’Wearables" Might Revolutionize US Healthcare [Updated]

I would like to see Microsoft to be positioned as:

“Microsoft is a company that deeply cares for people.”

  • Healthcare (Microsoft Band & Microsoft Health)
  • Education (Microsoft Book)
  • Privacy Concerns
  • With Windows 10 feedback invitation and Android Office preview feedback invitation, Microsoft has made it clear that Microsoft cares for what its consumers want.

Microsoft Band and How “‘Wearables” Might Revolutionize US Healthcare
One of the trends of 2014 in technology has been release of “Wearables” – computers you can wear on your body.

The latest kid in “Wearables” is “Microsoft Band” and the platform “Microsoft Health”

Microsoft Band and Microsoft Health could prove to be revolutionary by playing a vital role in urging people to make better lifestyle choices and reduce diseases and in the long run, reduce Healthcare costs. 
  • Social Layer, Gamification Layer, Quantified Self & US Healthcare
  • The Privacy Concern
  • The “Aesthetics” Factor
Social Layer, Gamification Layer, Quantified Self & US Healthcare

A Social Layer has to be built on top of Microsoft Health.
  • Social pressure
  • Motivations from friends and family,
  • Awareness and knowledge of health benefits 

can make wonders.

“I ran 5 miles … Let me see…. Jim ran 7 miles today …. OK, I’ll run 8 miles tomorrow.”
The Quantifies Self movement or a variant of it or an expansion has to be spread among general people. 
What better scenario could there be than conscious Citizens taking care of their own health?
A Gamification Layer on top of the Social Layer would make things even better.

“Let’s see who can reduce weight by 10 pounds in the least amount of time.”


A few more sensors / additional sensor modules (that can be added later – if you want) would be required.

Imagine, how much an effect reducing average weight of Americans (“the obesity epidemic”) would have on US Healthcare System.


Social Layeris the key. [I’ll design the social layer.]

It can only happen in a social setting – people motivating, encouraging each other, spreading the awareness and knowledge and know-hows.

The Privacy Concern [in case of Wearables]

Privacy would be vital.

I’ll make sure personal data is not abused.

Your health data getting into the hands of Insurance Companies could have horrible consequences.

No one would want Insurance Companies to use “personal” health data for determination of Insurance prices. “Personal” is the key, which means
“So, this guy’s wearables say he has very high risk for Heart Diseases and we are not going to sell insurance to him but only to those who have low risks for Heart Disease.”
The whole point of Insurance is reducing risks of “all buyers” as a whole and if the amount of “individual” risk gets very much predictable – then this overall effect (of reducing risks) is lost.
Besides, No one would want readings to be taken while one is in one’s bedroom, unless the user permits.
We have to be very explicit about – how users’ data that we collect is being “used” or “misused”.
The “Aesthetics” Factor
When you design “wearables”, aesthetics should always be at the top of the “requirements” list.
When people “wear” gadgets, people want them to be “beautiful”. “Fashion concern” plays a huge role.
And people want to “wear” gadgets that are different than what others wear – to distinguish themselves. 
So giving consumers a lot of variations and options to choose from – is the right approach when designing “wearables”.
This applies to Microsoft Band and Google Glass and all the other gadgets that fall into the “wearables” category.

“Why not prioritize disease prevention programs and motivational programs that encourage healthy lifestyle choices so that we have less sick people to start with? Obesity and poor lifestyle choices are surely among causes of diseases. Less sick people translates into less visits to doctors and less visits to doctors translate into less health insurance prices. If health insurance prices go down, more people would have health insurances.
Let’s try to understand it through an example.
Suppose, visits to doctor cost a person say, “A” $100 a month and another person say, “B” $50 a month. Now, the insurance company that sells healthcare insurances to “A” and “B”, sells each of the monthly insurances for $80. So, “A” and “B” together spend $80 + $80 = $160 to buy their insurances and the insurance company has to spend $100 + $50 = $150 to bear the cost of visits to doctor. Now, suppose “A” and “B” learned to take better care of their health. As a result, they have monthly healthcare costs of $60 and $40 respectively. Now, the insurance company has no way but to reduce their insurance fees. Thus, by taking better care of their health, “A” and “B” forced the insurance companies to reduce prices for insurance.

What Google Could Focus On Next

Research Problems

  • Cracking Artificial Intelligence with great internal teams & external collaboration – new products, increasingly better existing products – essentially changes the world.
  • It was search, rules, first order logic, probability and other representations. Now, it’s all about learning from massive datasets. Revolutions are coming! Ultimate search engine!
  • Intelligent Personal Agent
  • Solving big problems (or as Google calls them “moon shots“) with (problem focused collaborative research) great internal teams & external collaboration / massive collaboration / open innovation
  • Solve for X, Google X
  • Application of Big Data: understanding complex systems better: finding answers to age old questions: Sociology, Behavioral Science, Political Science, Economics & Business
  • Exploration of new computing architectures – continuation of Moore’s law: exponential increase in processing power – computational power for data processing, intelligence.
  • Parallel computing architectures (e.g., GPUs); Molecular computing; Optical Computing; Quantum computing; Cognitive computing / Neuromorphic computing.
  • Brain-computer Interfacing
  • Google in our brain!
  • Integrating data from all the sources => Knowledge Mining, New Applications


People focused Social Problems

  • Education & Learning platform
    • Google Play for Education, ChromeBook. Singularity University. Technology and Education are great equalizers.
  • Platforms that empower people – the enormous potential in each and everyone of us is materialized
  • Wikinomics platform 
    • Global collaboration
    • Android, Play, Chrome
  • Products that take on social problems and scale using profit to reach millions
  • Funding / Growing / Working with entrepreneurs to solve problems people face.
  • Solving local, social and global problems (clean water, cheap energy etc.) utilizing massive collaboration and exponential technologies
    • Google Ideas. For-profit.

Healthcare & Biomedicine

  • Computational Biology / Bioinformatics, Systems Biology, Biology Engineering
  • Healthcare Informatics
  • Lifespan extension; Curing Diseases; Preventive Medicine; Personalized Medicine

Physical Digital Integration

  • Robotics, Automation
  • Car 2.0
  • Electric / hybrid Car? App Market Integration; Automation; Advanced Collision avoidance system
  • Ultimate goal: Self Driving Car, Intelligent Transportation System
  • Computational Materials Design
  • Internet of things; Smart cities; Smart Home; Sensor Web; Big data


Google bought 8 robotics companies in past 6 months.

Google started with Search; currently focusing more on platforms and services. Lately, excited about the prospects about Physical Digital Integration?

(Developers Users, Apps).
Next: Developers developing tools, components Users developing apps?


  • Android
  • Google Play (Streaming services?)
  • Chrome
  • Google App Engine
  • Google+
  • Google TV
  • (New) Google glass, Motorola, ChromeOS, ChromeBook



  • Maps
  • GMail
  • Youtube
  • Google Books