Today, the number of new cases of Type 1 diabetes is increasing world wide by between 2-5% per year. If this trend continues the increase in people living with Type 1 diabetes will double in the next 20 years.
Currently it is estimated that there are 40 million people worldwide living with type 1 diabetes. According to the NHS, 19% of people achieve the recommended NICE target for average blood glucose levels in England and Wales. This drops significantly to about 8% when focusing on the WHO recommended treatment target of <48mmol.
The power of technology
At Quin we believe there are many factors that affect someone’s blood glucose. By harnessing the power and data collected by someone’s smartphone we believe we can take more factors into consideration and surface and match these to the users current situation allowing them to make more informed decisions.
Technology moves forward at a fast pace. Smartphones, wearables and their apps are becoming more and more used in the health space and increasingly being employed in diabetes management, from smart pens, insulin pumps CGM and now the emerging and evolving artificial pancreases closed loop pump systems.
Super smart phones
The vast majority of us carry a smartphone these days. We use them to set reminders, manage our calendars, play games, browse the web and a whole host of things on top of making calls. The computational power of a smartphone generally goes untapped though. In the 80’s, supercomputers such as the Cray-2 which took up an entire room, were used by organisations like NASA to run simulations of experimental aircraft flights etc. In comparison, today’s smartphones outperform those supercomputers on most benchmarks.
The current implementations of these Artificial Pancreas make decisions based off of one measure (blood glucose) and attempts to adjust the amount of insulin or alert the user to take a hypo treatment. We believe there are more factors that could be taken into consideration and used to help people make more informed decisions.
Imagine if that tiny supercomputer in your pocket was continuously learning about you, and what most affects you at any moment. What if you could glance at it at any time and find out what was happening?
We’re on our way
We’re building an app that does just that. In collaboration with our beta users, we are continuously developing, learning and releasing features to achieve this goal. Our aim is that by continuously learning what affects a user most and by adapting to the current circumstance, our app will allow the user to see past situations that are similar to their current situation, what they did and what the outcomes were. This will enable them to make better informed decisions in the now with a few simple taps.
Interested in helping? Join our research programme here: https://quintech.io/apply/