Medical Microinsurance

The exorbitant cost of healthcare has caused many to avoid the healthcare system completely because of affordability issues. Many persons are still unbanked and uninsured which results in those persons unable to access a medical loan or health insurance. This is a major drawback in the development of an effective healthcare system. Medical Laboratories charge exorbitant fees for blood tests that are not subsidized by the government or health insurance. This makes access to diagnostics and pharmaceuticals a luxury for a few. A solution to this is the access to medical microinsurance for the unbanked and uninsured. This can be simply in the form of a medical cost sharing program. These programs are sometimes called healthcare ministries in many christian organizations.

According to Michael Lee-Chin, chairman of Portland Holdings, a healthcare boom is on the verge of happening. The data suggests that investments in healthcare companies will provide high returns in the future. Medical Laboratories play a major role in this healthcare boom that Michael Lee-Chin is predicting.

Becoming an Inventor

Becoming an inventor does not require you to be super brilliant. Inventions are created using a three step formula. These steps include: Initiation, Imitation and Innovation. A simple and mathematical way to remember this formula is Invention = Initiation + Imitation + Innovation. The first step which is Initiation is to study the field that you want create an invention in. For example if you want to invent a diagnostic test then you have to study medical laboratory science and engineering. This means reading academic papers, research literature and books about the subject. This will help you with initiating your mind to think about how your invention will add value to society. The second step which is Imitation is to filter through all of the literature and find strategies that you can copy. After copying these strategies then you need to practice them daily until you are perfect. Through practicing you will automatically start to find new strategies that no one has ever tried before. Finding new and unique strategies through experimentation is what leads you to the Innovation step. 

This is how anyone can become an inventor. First you need to start studying the subject, then find strategies to copy, then experiment with new and unique strategies. Medical Laboratories allow engineers to invent devices for genetic engineering of humans. The same three step formula is what those engineers are using to create the final invention of the human race. Simple engineering of the human body (i.e. bodybuilding) can be done with exercise, diet and monitoring of chemicals in the blood and urine. Bioengineering of humans is as easy as losing weight with exercise and as complex as editing human genes with CRISPR. 

Datasets in Molecular Biology

Finding the needle in the haystack is what health data analytics is all about. Factors that can affect the needle found include poor data quality, poor data governance and poor data preparation. The use of data to create expert systems that operate similar or superior to physicians is the final innovation for healthcare. This innovation will intertwine the subject areas of artificial intelligence and genetic engineering. A dataset in molecular biology could predict whether a patient will have cancer in the future. There are several research and development initiatives aimed at creating what I call "ROBO-DOCTOR" which is an expert system for healthcare. This will incorporate the use of therapeutic and diagnostic data as well as a decision support system that can predict future health outcomes. 

The Medical Laboratory will be at the center of this innovation in health analytics/ healthcare informatics. This is due to fact that 70% of the data used for diagnosing patients are obtained from the Medical Laboratory.

Product Sourcing Strategy for DNA

DNA is the software of life. The product sourcing strategies for software include in-house software development, commercial-off-the-shelf packages, cloud computing, mobile computing or open source software. These product sourcing strategies can also be applied to DNA. Genetic engineering provides the expertise and framework for in-house engineering of synthetic DNA. Commercial options are also available for synthetic DNA that is sold off the shelf such as from Twist Biosciences. Open source, cloud computing, and mobile computing are available in the form of BLAST (basic local alignment search tool) which is the Google of biological data. This is a search engine and database which has an algorithm that compares primary biological sequence information.

Medical Laboratories are at the heart of sourcing DNA solutions. Everyone should become part of the DNA software revolution. 

Open Source Educational LIMS

G-MOSS (Gav-Med Open Source Society) is the ultimate free and open-source healthcare group for open source laboratory information management systems. Its focus is on data and life as subject areas that everyone can learn for free online via open-source education. Data is viewed from the perspective of artificial intelligence and Life is viewed from the perspective of genetic engineering. We believe that path to a self-taught education is via the internet and is possible with the symbiosis of artificial and biological intelligence. Linus's law states that 'given enough eyeballs, all bugs are shallow'. This means that everyone should learn and participate in the development of artificial intelligence and genetic engineering. 

Medical Laboratories are playing an important role in the development of open-source technologies used in healthcare for understanding data and life. A free and accredited bachelors degree in computer science will soon be realized via the internet. Free and open-source online learning will revolutionize the information age thus leading to the symbiosis of artificial intelligence and genetic engineering which will create superhumans.

 

Open Data and Life

Open source technologies are becoming more popular now since Microsoft purchased GitHub, the ultimate open source software development company. Free and open source software (FOSS) allows users to use, study, change and distribute the software and its source code to anyone and for any purpose. It is source code that is designed to be publicly accessible. Microsoft was the major opponent of this idea of open source since their business model was built on proprietary closed source software. Eventually, everyone will have to embrace every form of open source, including open data and open life which are the future. Open Data focuses on the open source approach to artificial intelligence whilst Open Life focuses on the open source approach to genetic engineering. This is future of open source which allows anyone to use, study, change and distribute the source code of AI and genetics. As a result of the COVID-19 pandemic, even university education is now open source. There is an open source computer science degree available on GitHub called Open Source Society University.

Medical Laboratories will serve as research laboratories and institutes for open data and open life. This idea will help shape the future of open source as Medical Laboratories make science fiction into science fact.

Computers or Humans: AI or Genetics

There is an ongoing debate about which technology will have the greatest impact on the universe. Robotics, Computers and AI will create machines that are autonomous, require little to no human intelligence and exist independently. Human engineering with Genetics will create human beings with biological superintelligence that exist supernaturally without any form of disease. This war between computers and humans will become more intense with advancements in the fields of artificial intelligence and genetics. DNA is the most advanced form of software ever created. This makes engineering life the most important invention of the human race. AlphaCode and GPT-3 allows computers to write their own code using artificial intelligence. In the future, computers will be able to reprogram human genetics using artificial intelligence. This means that instead of humans engineering machines, machines will start to engineer humans . Thus, using AI, computers will start to engineer life. The jobs of software and genetic engineers would become extinct. STEM discoveries are gradually making progress in the engineering of life especially for humans to become a multiplanetary species and colonise Mars.

Medical Laboratories will make the engineering of life, especially human life, possible with the use of artificial intelligence. The aim is to invent technologies in biological systems engineering via science fabrication from science fiction. Medical Laboratories are the future of envisioneering and futurecrafting. Computer and Biological programmers will be obsolete when the Robots in Laboratory Medicine take over healthcare.