Global Emergency Medical Response System AI - caretakers.ai

a global mini-data center(s) deployed to all countries in the world having access to an online centralized health system database on the cloud connected on a mesh network

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Inspiration

The Doctor, an Emergency Medical Hologram Mark I (or EMH for short), is a fictional character from the television series Star Trek: Voyager, played by actor Robert Picardo. He is an artificial intelligence manifesting as a holographic projection, designed to act as a short-term supplement to the medical staff of a starship during emergency situations, but when the starship Voyager is stranded on the far side of the galaxy with no medical personnel, he is forced to act as the ship's chief medical officer for several years. In the style of the Star Trek franchise's exploration of artificial intelligence, a simple software program becomes a major character in the show, which aired on UPN between 1995 and 2001.

What it does

Ideally the mini-data center will be implemented as mesh network connecting to all the countries in the worlds governing health authorities as a collective. It will be an information management health system for all the health authorities and education sector who can't afford the rising costs of IT resources and high costs of hardware servers and software license and provide online remote managed IT services and technical support through virtualization ie vmware sphere. I want to present this to the Red Cross and to the UNITED NATIONS, so they can have access to this mini-data center and provision and deploy these mini-data centres in those areas in the world where healthcare is decentralized and as well as developing countries in the world that don't have sufficient economical and financial resources in healthcare information systems expenditure to support advocate and treat illness and disease.

How we built it

I'm in the process of sourcing refurbished computer parts to build and repurpose an old 3 or 5 or 7 year old IBM or DELL enterprise edge-mount server Using GPUs to Analyze COVID-19 Short Read Sequencing Data sourcing old gen Nvidia Tesla GPU cards to make a grid from repurposed ebay purchases and selling to help fund the initiative to make a mini-data center where I want to create an online centralized health system database on a cloud computing virtualization platform where managed services can be used for both the educational sector and health sector.

Challenges we ran into

Provisioning, financing and allocating IT infrastructure through the World Bank to deploy these mini-data centres in those areas in the world where healthcare is decentralized such as poorer, vulnerable developing countries in the world that don't have sufficient economical and financial resources in healthcare information systems expenditure to support, train and advocate and treat illness and disease.

Accomplishments that we're proud of

The purpose, this mini-data center will also have a vast database collecting data from the worlds health authorities such as CDC, WHO etc. and health organization from all the countries around the world using innovative machine learning technology and advanced AI and AR/VR, this artificial intelligence will then respond and converse in realtime conversation online the internet and smart technologies to advocate and educate first responders, health care practitioners and essential services regarding prevention and treatments measure to combat the spread and prevention and treatment outcomes of illness and diseases such as COVID-19.

What we learned

All governing health authorities in the world must learn to get along and trust each other with critical health data and research and share it together as a collective to fight illness and diseases promptly.

What's next for Global Emergency Medical Response System AI - caretakers.ai

The purpose, this mini-data center will also have a vast database collecting data from the world's health authorities such as CDC, WHO etc. and health organization from all the countries around the world be using this innovative machine learning technology and advanced AI and AR/VR soon, this artificial intelligence will then respond and converse in real time conversations online with patients at home on the internet and also on smart technologies to advocate and educate first responders, health care practitioners and essential services regarding prevention and treatments measure to combat the spread and prevention and treatment outcomes of illness and diseases such as COVID-19.

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Updates

posted an update —

Lot49A lightweight protocol to incentivize mobile peer-to-peer communication

June 11, 2019 DRAFT version 0.8.5 Abstract:Mesh networks offer a decentralized alternative to centralized carriers and ISPs for mobile communication.To optimize successful message delivery, and improve network coverage and reliability, mesh nodes need a system to incentivize there lay behavior of peer network nodes.We propose a trust-minimized protocol for message senders to exchange incentive value with mesh nodes that relay their messages.Our approach is to create a payment channel network(PCN)based on the Bitcoin Lightning Network​[12]but adapted for very low-bandwidth adhoc mobile networks and there for e also applicable to less-constrained mesh topologies.To reduce incentive protocol overhead we propose using signature aggregation, simplex payment channel updates and payment channels formed between mesh nodes with indirect communication range. Nodes primarily exchange payments to incentivize the delivery of their data without internet connectivity. Only when nodes less frequently establish, checkpoint or close payment channels must they relay payment data to a mesh connected internet gateway.This proposal requires that both the Schnorr signature​[17]and SIGHASH_NOINPUT signature hashflag​[43]protocol updates have been adopted by the Bitcoin community.

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