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20 April 2016

A step closer to predicting and beating Dengue in Malaysia

It’s time for Malaysians to #makeithappen for themselves

 

Dr. Dhesi Baha Raja has been awarded the first prize for the Mini Startup Challenge by the PISTOIA Alliance held in London, United Kingdom this morning.

 

Developing an AIME (Artificial Intelligence in Medical Epidemiology) which is a disease-prediction mobile platform that employs technology and data to predict deadly disease outbreaks, Dr. Dhesi hopes to revolutionize public health by moving from a reactive approach to a proactive one. The platform uses both machine learning and artificial intelligence in it’s prediction engine, combined with heavy epidemiological research and public-health best practices to help identify and limit the effects of deadly outbreaks in advance.

 

Through this mobile platform and supported by the webe community, Dr. Dhesi aims to stop deadly outbreaks in advance & save more lives through the development of his Dengue Prediction app.

 

As webe community Project Champion - Dr. Dhesi and Rainier Mallol together want to find an efficient way to control dengue outbreaks using artificial intelligence. They plan to create an app using this approach that will allow people to predict the next dengue outbreak three months in advance.

 

This app, which will be free to use if developed, will be the first of its kind and Malaysia will be the first country to enjoy this innovative approach to combat dengue. However, to ensure this app is developed Malaysians need to support Dr. Dhesi’s project on the webe community  by downloading webe community’s app (Apple: https://appsto.re/my/deKH_.i   Android: https://play.google.com/store/apps/details?id=com.mobiduu.webe) and voting for his dream project to make it happen.

 

Pistoia Alliance is an organization dedicated to improving global life sciences R&D. It is a global, non-for-profit alliance of life science companies, vendors, publishers and academic groups that work together to lower barriers to innovation in R&D.

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