The founder of the company is an entrepreneur with a disability who suffers from a rare form of arthritis and is intent on helping people with long term health conditions or those who are interested in the correlation between the weather and their wellbeing. The app is not a medical diagnostic tool, but with input, the data can be given to health practitioners to help with diagnosis or treatment.
UK company has created a smart weather platform where users can ‘teach’ the platform through machine learning how the weather affects them through their daily tracking. In return, they receive real-time, personalised weather forecasts that are tailored to their medical conditions/symptoms and their medications.
The platform exists as a mobile app which specifically provides:
• Tailored information when planning a journey
• Personalised insights into the impact of the weather on how a user feels
• Offers interested 3rd parties aggregated insights into how the user community is impacted as a whole by the weather
• Notifies users when significant weather conditions are upcoming allowing them to take action.
• For users who don’t want to track their systems, the platform can also send tips based on the local forecast.
The data is presented to users in an easy-to-understand traffic light colour-coded system, red/amber/green, to provide visual representation of potentially hazardous conditions that are happening in real-time or in predetermined intervals up to 5 days into the future which are determined by a combination of weather indicators, medical conditions, and medications.
UK company is looking for university or academic partners to help validate and refine data models and real-world use case scenarios. They are interested in research or technical cooperation agreements.
Advantages & innovations
UNITED KINGDOM
Stage of development
Under development/lab tested
Partner sought
UK company is looking for university or academic partners to help validate and refine data models and real-world use case scenarios. The company is also looking to embark on R&D on eliminating all forms of bias in their forecasts. The usefulness of the forecasts is only as good as the weather data available, and the company is looking for assistance to make sure existing weather measurements such as wind and barometric pressure scales are fit for health correlation.