May 17, 2020

How Toyota are helping people to walk again

Georgia Allen
1 min
How Toyota are helping people to walk again
Hospitals in Japan will soon be welcoming robotic machinery to help those with lower-limb paralysis.

Toyotas Welwalk WW-1000 will begin roll-out in aut...

Hospitals in Japan will soon be welcoming robotic machinery to help those with lower-limb paralysis.

Toyota’s Welwalk WW-1000 will begin roll-out in autumn of this year and will be available to rent, but will cost £7,300 upfront as well as a monthly fee of £2,500.

The machinery attaches to the knee of the patient and enables those who have suffered from paralysis to walk again. Due to Japan’s aging population, this could be a crucial step as mobility problems rise and the machinery boasts that it can rehabilitate stroke victims 60% faster than normal physiotherapy.

The Welwalk is in line with a series of Toyota robots, who are being built to perform takes generally undertaken by care workers. Mundane tasks that are encountered with difficulty by those suffering could soon be performed by robotics counterparts as opposed to humans.

However, Toyota’s robot is currently only available in Japan and would have to be modified to cope with the physique of the western world, as the current model only supports 95kg of weight and those shorter than 6’3”.

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Jun 23, 2021

Introducing Dosis - the AI powered dosing platform

3 min
Dosis is an AI-powered personalised medication dosing platform that's on a mission to transform chronic disease management

Cloud-based platform Dosis uses AI to help patients and clinicians tailor their medication plans. Shivrat Chhabra, CEO and co-founder, tells us how it works. 

When and why was Dosis founded?
Divya, my co-founder and I founded Dosis in 2017 with the purpose of creating a personalised dosing platform. We see personalisation in so many aspects of our lives, but not in the amount of medication we receive. We came across some research at the University of Louisville that personalised the dosing of a class of drugs called ESAs that are used to treat chronic anaemia. We thought, if commercialised, this could greatly benefit the healthcare industry by introducing precision medicine to drug dosing. 

The research also showed that by taking this personalised approach, less drugs were needed to achieve the same or better outcomes. That meant that patients were exposed to less medication, so there was a lower likelihood of side effects. It also meant that the cost of care was reduced. 

What is the Strategic Anemia Advisor? 
Dosis’s flagship product, Strategic Anemia Advisor (SAA), personalises the dosing of Erythropoiesis Stimulating Agents (ESAs). ESAs are a class of drugs used to treat chronic anaemia, a common complication of chronic kidney disease. 

SAA takes into account a patient’s previous ESA doses and lab levels, determines the patient’s unique response to the drug and outputs an ESA dose recommendation to keep the patient within a specified therapeutic target range. Healthcare providers use SAA as a clinical decision support tool. 

What else is Dosis working on? 
In the near term, we are working on releasing a personalised dosing module for IV iron, another drug that’s used in tandem with ESAs to treat chronic anaemia. We’re also working on personalising the dosing for the three drugs used to treat Mineral Bone Disorder. We’re very excited to expand our platform to these new drugs. 

What are Dosis' strategic goals for the next 2-3 years? 
We strongly believe that personalised dosing will be the standard of care within the next decade, and we’re honored to be a part of making that future a reality. In the next few years, we see Dosis entering partnerships with other companies that operate within value-based care environments, where tools like ours that help reduce cost while maintaining or improving outcomes are extremely useful.

What do you think AI's greatest benefits to healthcare are?
If designed well, AI in healthcare allows for a practical and usable way to deploy solutions that would not be feasible otherwise. For example, it’s possible for someone to manually solve the mathematical equations necessary to personalise drug dosing, but it is just not practical. AI in healthcare offers an exciting path forward for implementing solutions that for so long have appeared impractical or impossible.

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