Updated Aug 24, 2019

Patrick Sseremba

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Improving diagnostic and treatment aids to malaria epidemic in sub-Saharan Africa through bloodless malaria artificial intelligence and machine learning technology.

The technology is a unique machine learning and artificial intelligence meant to test, treat, diagnose and prescribe medication for malaria. Magnetism and light have been combined in a test that can diagnose malaria in under two minutes without the need to take blood. We use light and magnetism to differentiate between the blood of an infected and a healthy person. Unlike ‘gold standard’ ...
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The technology is a unique machine learning and artificial intelligence meant to test, treat, diagnose and prescribe medication for malaria. Magnetism and light have been combined in a test that can diagnose malaria in under two minutes without the need to take blood. We use light and magnetism to differentiate between the blood of an infected and a healthy person. Unlike ‘gold standard’ tests that work by detecting molecules produced by the malaria parasite, the Malaria Bot deploys polarized light to detect hemozoin crystals, which are by-products excreted by the parasite. It does this in less than two minutes—four times the speed of the fastest among current tests on the market. The results are sent from the device, which clips onto a patient’s finger, to a mobile phone. “It’s just plugs and play,” It doesn’t require a blood sample, so a patient could potentially test for the disease on their own, at home.
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Stage 3: Proof of Concept

Minimum visible product has been developed. We are waiting verification from Ministry of Health and World Health organization to start using our product.

Focus Areas:

Technology, AI and Health

Technology, AI and HealthSEE LESS

Implemented In:

Uganda

UgandaSEE LESS

1
Country Implemented In
12,000,000
Customers
8
Employees
$500,000
Funds Raised to Date

Problem

The failure by traditional malaria treatment protocols to diagnose, treat and manage malaria and fever causing high mortality rate due to malaria epidemic in sub-Saharan Africa. About 200 million malaria cases are reported annually in Africa alone with 400,000 deaths in Uganda recorded in 2017 by WHO. Children below 5 years and pregnant mothers are mostly susceptible with lack of access to medical diagnostic services attributed to high mortality rates.

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Solution

The malaria bot is a mobile phone artificial intelligence (AI) powered software that can be used in treatment and diagnosis of malaria. The app rapidly screens the patient based on history and generates provisional diagnoses. It then refers the patient to our self-testing kit which employs photo-magnetic technology to detect hemozoin, a crystallized bi-product of malaria parasites to confirm and generate a definitive diagnosis upon which it prescribes treatment drugs for malaria.

Target Beneficiaries

Pregnant women between 20 to 45 years mostly in rural areas. We reach them through our village health trainees (VHTs) who possess our self testing kits to serve the entire population of organised under-served women. Children below 6 years who are most susceptible to malaria. We reach them through their parents who install our app and purchase our self-testing kits.

Mission and Vision

Vision A post antimalarial drug generation. A bloodless malaria testing technology. A readily available malaria e-consultant

Competitive Advantage

The Malaria Bot acts as an automated scientist that does not just take a ‘brute force’ approach, but rather take an intelligent approach to science and medical diagnostics. It, therefore, minimizes errors that are common in medical diagnostics. Unlike traditional approaches to malaria testing which utilize drawing blood from victims, the Malaria Bot is a bloodless malaria testing strategy and treatment modality. It completes the normal testing in the shortest time possible compared to a traditional laboratory test.

Planned Goals and Milestones

A non-invasive malaria self testing kit and an artificial intelligence mobile application to diagnose and prescribe medication for malaria.
Funding Goal500,000
Projected Cumulative Lives Impacted2,500,000
New Implemented CountriesEthiopia, Congo, Democratic Republic of the, Burundi, Rwanda, Kenya, Tanzania
Recruit2 advisors, 3 management, 3 staff, 45 employees and volunteers
New FeatureCreating a non-invasive malaria Internet of Things device.

The Team Behind the Innovation

Patrick Sseremba - CEO and founder. Doctor. Youth. Computer scientist. Entrepreneur Ann Rita Nabirye - Finance and administration. Co-founder. Female. Bachelors in business administration. Atwiine Hope - Projects Manager. Researcher. Medical doctor. Youth and female. Shaski Khana- CTO. Developer. Female. Programmer at freelancer India. Namugera Joseph. Finance mobilizer. Youth. Doctor. Computer scientist.

EXECUTIVE TEAM INCLUDES WOMEN AND YOUTH

Milestone

Jul 2019
Created
Date Unknown
New Country Implemented In
Uganda

Supporting Materials

Malaria-evidence-article-orientation-null.pdf