Cure: Curing Cancer, Alzheimer’s, Parkinson’s disease, Curing blindness, Gene therapy, Tissue engineering
Medical Gadgets: Non-invasive lightweight health diagnostics system
Enhancement: Infrared vision, Enhanced Immune system
Synthetic Biology: De-extinction / Resurrecting extinct species, De-extinction of Dinosaur; Genetically modified organisms, Intelligent Mouse, Talking Chimpanzee
Science: Brain, Genome, Cell
[Detailed Articles, Research Papers coming …]
Yes. But the process of Evolution is not ‘Natural Selection’. It’s ‘Evolution by Intelligent Design’, with corresponding changes in the Genome.
We’ll soon figure out (find evidence) that, Metamorphosis doesn’t happen only in Kafka’s World!
Sharing Economy is one way of Introducing Efficiency into the Economy.
Caution: Regulation; Security; (Is it really going to make the particular “Service” better?); Macroeconomic factors (the effect on traditional jobs, traditional way of doing things) etc.
Our Economies and Institutions are vastly inefficient. Introducing “Sharing Economy” Models & Services (with caution) is (or could be, Depending on how it’s applied in the particular case) just one way of getting things work better.
Brain Scientists wonder about the Relation between Language and Thought. They ask: Does Language influence Thought? (It’s one of those famous yet-to-be-answered questions in Cognitive, Psychological & Behavioral Sciences.)
The answer: Language influences and shapes Thought.
Our Use of Language is Constrained by Each Individual’s ‘Learned Models’ for words and concepts that are being used.
When we use the term ‘Technology’, most of us visualize and mean ‘Complex Machines’ (Our ‘Learned Model’ for the word ‘Technology’).
Many reason: “There weren’t ‘Complex Machines’ in Jesus’s time. So, ‘maybe’ ‘Technology’ is not ‘the way’. And, wouldn’t it be better if we could completely go back to life at earlier times?”
To answer, we should first consider: Is ‘Technology’ really limited to Complex Machines only? Or more precisely: Is our Use of Language correct in this particular instance?
Any man-made object that Makes life Easier and Better for people is ‘Technology’. So ‘Wheels’ are Technologies. There were ‘Chariots’ in Jesus’s time; now, we have ‘Cars’; next: ‘Autonomous Electric Vehicles’. There were lamps, now we have light bulbs, and many are moving to LED bulbs. It’s Evolution of Technology.
‘Technologies’ we use today surely aren’t perfect. We are At a certain stage in our progression towards Ultimate Technological Possibilities. Near future will bring Better Technologies that have Less to Zero Side-effects (e.g., Less to zero Environmental Effects – Electric Cars and LED bulbs), Technologies that are more Humane (Computers with near perfect Speech Recognition, human-centered design for Products), and Technologies that are nearly or equally as Complex as Life (Life-like systems built with Nanotechnology).
God created the Universe and God knows more Physics than any of you could ever imagine! Jesus is God.
Answered above.
[04.14.15]
Science & Engineering News: Electronic Medical Records, Big Data in Healthcare & More
“In one month, the electronic monitors in our five intensive care units, which track things like heart rate and oxygen level, produced more than 2.5 million alerts. It’s little wonder that health care providers have grown numb to them. [Health parameter Tuning]
… Improvements will come with refinement of the software. Today’s health care technology has that Version 1.0 feel, and it is sure to get better.
… Changes in the work force and culture … federal policies that promote the seamless sharing of data between different systems in different settings … Reimagine how our work can be accomplished in a digital environment.”
“Big-data efforts under way in health care include Optum Labs, a collaboration between UnitedHealth Group and the Mayo Clinic, in which researchers mine clinical and insurance data in search of micro-patterns that give clues to early indicators of disease and help to tailor treatments.
Precision Medicine, an initiative announced by President Barack Obama earlier this year, will combine genetic data with information from fitness trackers.”
#DigitalMedicine #MolecularMedicine
#MedicineAndBioEngineering #NeuroEngineering
“… by maneuvering his right shoulder in certain ways, Mumford could send signals through the stimulator and down his left arm into the muscles of his hand … He [Previously paralyzed] could open the refrigerator, take out a sandwich, and eat it on his own.
Advances in brain-machine interfaces and electrical–stimulation devices are generating marvelous research results in people with paralysis—some are using their thoughts to control robotic arms, and others are taking tentative steps.
250,000 people with spinal-cord injuries in the United States alone.
Retinal implant that can restore sight to people with a hereditary form of blindness. Potential market is quite big—perhaps 1.5 million people worldwide and 100,000 in the United States“
[04.01.15]
“The Freightliner SuperTruck improves fuel economy by 115 percent and cools the cargo compartment with solar power”
“Connecting 29-year-old technology to the modern internet is a crazy, complicated labor of love!”
[03.24.15]
“The wider change is that biology is getting cheaper and easier to do.”
[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.]
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.
Ultrasound. MRI & PET Scanner.
X-Ray & CT Scanner.
Laser. Colonoscopy. Pacemaker. Blood Testing Service.
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.
Drug “Manufacturing Facility” Development.
Research Equipment (used in Biotech & Bio-Pharma Industry). Example: Genome Sequencers.
Drug Development.
Drug Delivery System Development.
Surgical Procedures. Imaging Tools.
Endoscopic Surgical Tools.
Robotic Surgical Systems.
Genome Sequencing. Gene Therapy Development. Gene Editing.
Molecular Medicine.
Microbiome & Microbiology.
Stem Cell Research. Tissue Engineering. Regenerative Medicine.
Bio-Materials. Nano-Biotechnology.
Modeling of Life & Living Systems.
Bioinformatics. Computational Biology. Systems Biology.
Computational Bio-Mechanics (Applicable to Sports Science).
Neurological Disorders.
Psychiatric Disorders.
Computational Neuroscience.
Neuro-Engineering: Artificial Retina. Electrode Implant. Prosthetics.
Child rearing: IQ, Creativity, Character Development, Health.
Adolescent Guidance.
Exercise & Nutrition. Food & Nutrition Research. Exercise Physiology Research.
Separate Units / Sub-units:
Cancer. AIDS. Autism. Parkinson’s. Alzheimer’s. Motor Neuron. Cardiovascular Diseases. Cerebrovascular Diseases.
Infectious Diseases, Epidemics & Public Health.
Youtube Playlist:
#AerospaceEngineering #AppliedPhysics #Physics #BioEngineering
Science & Engineering, Medicine & Innovation: “Jurassic” Theme Park, Physical Digital Retail & More
“Stimulation of the nervous system could replace drugs for inflammatory and autoimmune conditions”
Has Science advanced to the point when it can enable us create “Jurassic” Theme Parks featuring Dinosaurs?
“A father-son duo of biologists has set the stage for so-called de-extinction.”
Frontiers Of Engineering & Technology : Research & Engineering (R&E)
Energy & Power: Materials for Solar
Energy & Power: Decentralized Power Grid
Energy & Power: Smart Solar, Smart Wind
Artificial Intelligence : Machine Learning
Robotics: Augmented Robotics; Service Robotics
Robotics: Drone / Unmanned Aerial Vehicle (UAV)
Robotics: Agile Robotics
Medicine & BioEngineering: Computational & Systems Biology
Medicine & BioEngineering: Genomics, Molecular Biology & Molecular Medicine
Computational Neuroscience
BioEngineering Biotech
“As a drug, an mRNA would supply the biological instructions for producing a protein inside cells.
Therapeutic gene-silencing RNAs inhibit damaging proteins from being made in the body.
Hurdles: Innate immune response. Unstable Molecule.”
“Venture capital investment in U.S. life sciences companies (Second biggest category for venture investment after software) soared 29 percent in 2014 from the year before, reaching $8.6 billion, the highest level since 2007.”
Big Data
“Data mining Wikipedia people reveals some surprising differences in the way eastern and western cultures identify important figures in history, say computational anthropologists.
The top five in the English language version are George W Bush, William Shakespeare, the Victorian biographer Sidney Lee, Jesus Christ and Charles II of England.”
The current stage of Genomics is:
So we have people with a certain Disorder (say, “X”).
Let’s gather Genomic Data of as many persons as we can with “X” Disorder and find similarities in their Genomes to find out which “Gene”s could be responsible for the “X” Disorder.
This approach is limited.
To see why, let’s go through a quick lesson in Biology.
All of the Cells in our body have the same DNA.
But a Cell in our “Heart” behaves differently than a Cell in “Skin”.
The Genetic Material is the same, but Behavior is different.
How?
Proteins (Transcription Factors) inside the Cell and different elements in the Extra-Cellular Matrix makes the difference.
The “Proteins (Transcription Factors) inside the Cell and elements in the Extra-Cellular Matrix” of Heart Cell is what make it behave differently than a Cell in your Skin.
All of our Cells contain the identical Genetic Material to the first Cell that made us.
“Differential Gene Expression” is how that Cell gradually turned into the Cells of Skin, Heart, Pancreas, etc.
Now, suppose a person say, “A” has a certain disorder / disability say, “D”.
Suppose, the “D” disorder makes “A”‘s Motor Neurons shrink with time.
It would be “of limited view” to try to find out “the Gene” responsible for the disorder “D”.
Because each “Gene” that expresses itself through “Proteins” effects our body in different ways depending on in which part of the body the Protein is acting.
A particular “Gene” say, “G1” encoding certain Protein in our “Skin cell” might have different effect than
the same “G1” Gene encoding the same “Protein” (but involved in a different “Gene Regulatory Network”) in our “Motor Neuron”.
A better approach is to consider the effect of “Network of Genes” involved in a certain “Gene Regulatory Network”.
“Network of Genes” involved in different “Gene Regulatory Network”s express themselves to structure our Phenotype (and also our “Disorders” and “Disabilities”).
As we can see, Biologists should always keep in mind that:
“It’s not a single Gene that cause a certain Disorder, but ‘A Network of Genes’ involved in a certain “Gene Regulatory Network” that do.”
“A Network of Genes” translated into Proteins
(a Protein itself could be defective or it could be “A wrong set of Proteins”)
interacting in less-than-normal ways with other Proteins and Molecules
– From a macro perspective we classify this misbehavior as one of the (already classified) Disorders.
– This is a “Molecular definition” of Diseases and Disorders.
#MolecularMedicine
Then why do Biologists approach “Molecular Medicine” this way (the Current approach):
“Let’s gather Genomic Data of as many persons as we can with “X” disorder and find similarities in their Genomes to find out which “Gene”s could be responsible for the “X” disorder”
The reason: Biology as a Science, is yet to mature.
Biologists still struggle to find out which Genes encode which Protein with a certain feature.
We are still far from complete understanding of:
Gene -> Differential Gene Expression -> Phenotype / Disorder / Disabilities.
Our current approach is to find out:
Gene -> Disorder / Disabilities.
“Let’s get as many people as we can with a certain Disorder and search their Genome to find the “Gene” responsible for the “Disorder”.
an approach which, as I have explained, is limited.
#Molecular Medicine
#Computational & Systems Biology (CSB)
#BioEngineering
#Medicine #Medical Sciences
Areas of Expertise:
#Electrical Engineering #Mechanical Engineering
#Chemical Engineering #BioEngineering
Academia To Industry – Technology & Innovation Transfer
In Academia, lots of Science, Tools & Techniques are in incubation phase, not ready to be incorporated into industrial products.
I shall turn Science, Tools & Techniques into Engineering Innovations.
Application Areas:
1. Physical Basis of Information
2. Power
VLSI & Computer Systems
Manipulation of Information with Transistors, etc.
Communications Technology
Exchange of Information.
Entertainment Technology
[Example: Image -> Electronic Representation as Information).
Transducers and Sensors
Turning Physical Quantities into Electrically Represented Information
Signals & Systems
Signal is basically Information
Control Systems
Control with the use of Electrical / Electronic Signals
Application Areas:
Scientific Basis of Mechanical Engineering:
Examples:
Complex Fluids & Transport <- Chemical Basis, Chemical Composition.
Food Processing.
Petrochemical Industry.
Imaging.
Signal Processing.
Genome Sequencing.
Computational & Systems Biology. Bioinformatics.
Drug Design, Drug Delivery & Biomaterials.
Regenerative Medicine & Stem Cell Technology. Tissue Engineering.
Genetic Engineering. DNA Editing.
Laser.
Endoscopic Surgical Tools. Surgical Robots (Example: Da Vinci Robot).
Prosthetics. Artificial Retina.
Articles By Me:
AeroSpace Engineering -> Commercial Aircraft
Syed Tahsin 
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