More than 1,000 young Saudi hackers - comprising clinicians, engineers, scientists, designers and entrepreneurs - participated recently at the world's largest health hackathon in Riyadh, Saudi Arabia.
Organised by King Abdulaziz City for Science and Technology (KACST) with support from Badir Program for Technology Incubators and Accelerators, and in collaboration with MIT Hacking Medicine, the event took place at the Convention Center at Princess Noura University.
The three-day hackathon, titled "Reimagining Healthcare in Saudi Arabia", saw hackers compete in 10 different healthcare challenges to advance the design of biomedical technologies towards meeting a target of over 20 biotech startups. The winners were announced at the end of the competition.
"Aligned with the Saudi Ministry of Health's Model of Care, the healthcare challenges, ranging from - blockchain and AI for health, cancer innovation track, and assistive technology and ageing - are aimed to energise and connect the best talents across the health ecosystem in the health and technology sectors to solve the healthcare’s biggest challenges and teach healthcare entrepreneurship and digital strategies to scale medicine in the Kingdom," said Dr Anas Alfaris, vice president for Research Institutes at KACST during his opening speech at the hackathon .
He emphasised that the Hackathon will help instil the culture of creativity and innovation in the field of digital health among Saudi youth who will compete to generate new ideas that will improve and enhance the medical services and level of healthcare in the Kingdom.
Healthcare has been identified as one of the primary focus areas under the Saudi Vision 2030 and National Transformation Program 2020 in order to enhance the quality of healthcare services and facilities in the country.
"It is our privilege to host the world's largest health hackathons in Saudi Arabia. The program will offer a collaborative environment for the best and brilliant minds to be a part of an exciting and inspiring event that will impact the way healthcare is delivered to millions of people in Saudi Arabia and across the globe," said Nawaf Al Sahhaf, chief executive officer of the Badir Program for Technology Incubators and Accelerators.
Since its inception in 2011, MIT Hacking Medicine has facilitated nearly 150 hackathons across over 30 countries. Teams coming out of these events have successfully joined local accelerators, raising over $175 million in investment funding, and partnering with healthcare institutions or companies towards piloting their solutions.
MIT Hacking Medicine has previously collaborated with leading organizations and corporations such as The Kauffman Foundation, Massachusetts General Hospital, Emergency Nurses Association, Pfizer, Microsoft, Samsung, GE, Merck, and AthenaHealth.
Below is the list of winners:
Track 1: Mental Health Hackathon
2nd prize: InTouch – An interactive mobile application with a treatment experience for Saudi Arabian patients with depression.
1st prize: MindTreat – A mobile application utilizing gamification to treat and support with mood and anxiety disorders.
Track 2: Brain Health Hackathon
2nd prize: Mobile Eng for Non-Professionals – A mobile application to help patients with physical therapy while on the go.
1st prize: Alpha Crew – Brain scanning headset using deep learning and image recognition techniques to detect epileptic seizures in hospitals.
Track 3: Connected Healthcare
2nd prize: Dream Team: An augmented Reality educational toolset for physical therapists that uses realistic human mannequins to simulate the real-life training experiences.
1st prize: Harara-tech: A thermal-imaging system that uses artificial intelligence to intelligently evaluate and direct treatment for victims after large scale disasters.
Track 4: Assistive Technologies and Reimagining Aging
2nd prize: Lyxar – An Arabic mobile application for dyslexia patients that utilizes games to effectively screen, train, and assist them with diagnosis and treatment.
1st prize: Asfih – 3D printed glasses that allow patients with ALS speak for little money, effort and time.
Track 5: Blockchain and Artificial Intelligence for Healthcare and Forensic Science
2nd prize: Tawthiq - Authenticating certificate of healthcare workers on the blockchain, issued direct from their university to blockchain yielding instantaneous authentication.
1st prize: Med Chain – Using blockchain and artificial intelligence systems to match patients with applicable clinical trials.
Track 6: Data Science for Global Health
2nd Prize: Icebridge Crusheres/ Autism – A mobile application helping with scheduling and long wait times in diabetic clinics.
1st Prize: Population Sigmentation – A personalized mobile application to help at-risk patients get screened for heart disease.
Track 7: Wearable Devices for Healthcare
2nd prize: Mask Lung-infection Detector – A mask that helps prevent lung infection due to increased crowds, by detecting metabolites in the breath and informing patients of oncoming infections.
1st prize: A portable device that will enable blind people to read normal books.
Track 8: Cancer Innovation Challenge
2nd prize: Endue - Patient-centric decision assisting tool to better inform the patient of the reasoning behind the provider’s treatment decisions.
1st prize: Oncoscrapper - An application for hospitalized children with treatment resistant leukemia that uses gamification to incentivize patients to undergo chemotherapy medication.
Track 9: Human Centered Design for Health
2nd prize: HKMMA Smart Shoe – A smart shoe for diabetic foot monitoring that detect of the early onset of diabetic foot, preventing amputation.
1st prize: Elda – An application providing caregivers support in aiding for their loved elderly patients so that caregivers don’t have to take patients to the hospital.
Track 10: Dental Track: Challenging Oral Care
2nd prize: Intra-Oral clip – An intra oral clip made to deliver medication over prolonged periods of time.
1st prize: Infra-Red Guide x-ray – An infra-red device attached to the x-ray image holder to enhance the position of the x-ray sensor.
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