Sep 21, 2020

AI dementia screening app to launch

AI
healthcare
Kayleigh Shooter
3 min
doctors pointing at brain scans
Medical students and frontline doctors are gearing up to launch an AI dementia screening application...

 The application has been evoked by a diagnosis crisis as a large volume of people are going undiagnosed of dementia due to the COVID-19 crisis. A team of frontline healthcare workers and medical students have used their spare time to develop the application in a hope to diagnose more patients and allow them to receive the medical attention that they require. The app, Mindset, incorporates the core values of NHS practice and patient care in order to detect the early signs of dementia. The innovative application will be launched next month, after two years of hard work developing it outside of their working hours in the clinic. 

The application was developed after it came to light that 62 percent of those suffering from dementia are undiagnosed and the COVID-19 crisis had a detrimental impact on this figure as people could not travel to the hospital or even be seen by a professional in their own home. Baring the shocking figure in mind, someone develops dementia every three seconds and it is predicted that by 2050, the number of people suffering will triple, stretching the NHS’s resources to the maximum.

Hamzah Selim, Chief Executive Officer at Mindset, is a current fourth year medical student at UCL London and he hopes that the innovative tool can support both suffering patients and healthcare workers. 

Once the patient has downloaded the application, they will answer a short series of questions and complete some cognitive exercises that replicate the screening process and data collection that is usually carried out by a doctor. The innovative technology will then conclude how sure it is that a patient does or does not have dementia.

The COVID-19 pandemic has heightened anxiety around leaving the house and travelling to different places, this is especially worrying for the elderly who are more vulnerable to the respiratory virus. Mr Selim understands this and says; “Mindset is on your phone. It is completely safe,” he explained. “It is never going to be as good as a neurologist but it reduces the anxiety and provides a crucial portal of connection between patients and doctors. If the second wave comes - and I hope it doesn’t - but if it does I hope we can better help these patients because it is absolutely critical to diagnose dementia early.”

The government announced a £250 million investment in artificial intelligence for the healthcare industry last year, which has given the team hope that the application will be fully incorporated into the NHS in the future. 

Did you know?: The idea to develop Mindset stemmed from the Snapchat dog filter when Hamzah realised it incorporated innovative eye-tracking technology similar to how doctors check for concussion in patients. Mr Selim consequently realised that this technology could be used to help diagnose dementia patients, the project took shape from there and is now nearly ready for the launch. 

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Jun 23, 2021

Introducing Dosis - the AI powered dosing platform

AI
medication
personalisedmedicine
chronicdisease
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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