#CORONAHACK

First prize was won by a team led by scientist Dr Mark Baker using the Athena AI with Databiology's data to discover a new way to detecting Coronavirus earlier than ever before using standard blood samples. The method was found to be very sensitive and specific to Coronavirus and could increase the number of tests achievable in the UK to 300,000 a day with immediate effect while detecting the virus much earlier in the infection cycle.

Further developments of the test will allow the tests to be carried out by anyone with a simple smartphone attachment and pinprick blood test with the potential to end lockdown globally much earlier and prevent future waves both of Covid-19 and ultimately other similar pandemics. Dr Baker is quoted as saying "In the future, looking back we might discover that this one Coronahack has saved thousands of lives and billions of pounds globally."

Work will continue centred at University of Brighton, with collaboration from Oxford, Lincoln and Glasgow.

An unprecedented global online hackathon bringing together...

The brightest minds in the fields of medicine and artificial intelligence to stimulate the prospect of new and novel ideas to combat Covid-19, over the space of a week.

500 Health experts

500 Data scientists

Real time Covid-19 global health data

...To help tackle Covid-19

Methodology

Form online teams with other participants who have complimentary skills

Teams will use the global digital Covid-19 data to figure out ways to help tackle Covid-19 either from a medical or logistical perspective

Winning teams will receive a monetary prize to help develop their idea in conjunction with Mindstream-AI

Reserve My Spot

Eligibility and logistics

Dates and timings

First mandatory webinar: 7th April

7th - 13th April: Post your projects online, form teams and get set up

14th - 19th April: Hackathon and results (hackathon is not full time, so you will be able to work on your project in your own time)

Eligibility

Whether you work or study in the area of health, medicine, AI or data science or do not fit one of these categories but are willing to be part of a team to combat Covid-19, you are welcome to participate in the hackathon.

The Hackathon will follow the following themes:

Train AI models for better diagnosis
Identification of best indicators of disease severity
Find most common mutations as indicator of pathogen mutability
Identification of best vaccine-potential regions in proteins
Disease progression and what people with low/ or significant health impacts have in common
Modelling viral infection in the human body
Model country epidemic data
Model economic impact in countries