AI for Medicine: Distributed Puzzle Solver Network

The following problems are being addressed by this issue:

1. The need to find new cures for disease, especially rare diseases.
2. To incorporate various communities into the process of medical discoveries.
3. Rising medical costs.

An AI powered molecular docking system run over a distributed network where communities in different parts of the world can contribute knowledge about traditional herbal remedies for different diseases.

A Distributed Puzzle Solver Network

Many diseases can be cured with a medication. The geometry of a molecule determines the interactions of the molecule and specific medications. The goal is to create a distributed, online network of people (essentially puzzle solvers) who can recommend traditional herbal remedies for AI-powered molecular docking to process.

AI-powered Molecular Docking: Computer simulation of how molecules interact. In medicine, molecular docking allows an AI system to present prediction of how a drug and a specific protein or enzyme would interact. The terminology is generally for the interaction of a ligand and a protein. With an AI system, various outcomes of an herb considered therapeutic in a culture can be simulated to determine possible explanations of the remedy, if any.

Reducing Health Care Costs

All over the world, there are indigenous groups that have traditional herbal remedies for various diseases. Granting participants of the network to have discounted health services is envisioned as part of the program. This may lower health care expense for those who may need it the most in some communities.

For example:

An example of this already taking place is how computer technology in China is able to use the extensive body of knowledge there of tradition herbal medicine. The computer technology can simulate molecular docking of key molecular geometries found in the chemicals of certain herbs to find why the molecule may actually have been treating a certain disease.

It empowers communities that were not always a part of medical discovery. It encourage digital technology skills in the same areas as well.

The idea is very innovative.

It helps communities on multiple levels. It engages communities in terms of traditional herbal remedies as applied to artificial intelligence and capability of medical discoveries by means of molecular docking.

The goal is for participants to have access to discounted healthcare expense by means of a partnership with pharmaceutical, insurers, and other components of the healthcare system.

There are a variety of molecular docking software programs that are free, so the program can be run for a minimal expense. From the rainforests of Brazil and communities that live near the sea, the exchange of herbal remedies can allow communities to become familiar with molecular docking and information technology jobs in general.

It ensures healthy lives and promotes well-being for all by lowering health expenses while allowing more people to engage in the medical treatment discovery process.

AI powered molecular docking is used as the application. 

The data of traditional herbal remedies is supplied by the international collection of communities participating in the program, engaging in the artificial intelligence application for the computer technology of molecular docking.

Yes. Because the AI technology is planned to be used by a large network of people, more people can become familiar with how AI works, its limitations, and it applications. This can ensure ethical and responsible uses of AI in the near future.

The goal in the first year it to set up the network.

In the next five years, the goal is for the system to make a medical discovery by means of molecular docking simulation.

Only one person

Several years

Some of the existing molecular docking software technology for the project can be obtained for free. The plan for engaging key stakeholders providing data on herbal remedies is by means of offering discounted healthcare services. To achieve this goal, pharmaceutical and even health insurance partners may be brought in. Data on molecular candidates for cures for rare and other diseases may be essentially traded for discount healthcare costs.

The costs are minimal because it is an existing online course.

I am not seeking a specific amount of funding at this point.

Yes, I can learn more about topics outside of my skill set. Educational programming is of great interest to me.