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  • In addressing the health system inequalities, Nigeria has a lot to learn from Malawi and South Africa

    In an effort to improve inequities in access to healthcare, the local government partnered with forces in Germany to create a drone project that uses artificial intelligence to deliver medical supplies to remote, rural areas, including antibiotics, pregnancy tests and pain medicine. So far this collaboration has carried out 166 supply deliveries.

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  • OnePointOne is Arizona's newest sustainable vertical farm

    OnePointOne farm uses vertical farming techniques to grow nutrient-dense, seasonal produce year-round. The farm operates on artificial intelligence and robots tend to the plants. Vertical farming also uses less water and can produce significantly more crops than standard horizontal farms — specifically 250 more plants per acre than traditional farms.

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  • A non-profit is using artificial intelligence to link blood donors

    J Blood Match uses an Artificial Intelligence program-bot embedded into the social media platforms Telegram and Facebook messenger to connect unpaid blood donors to recipients in need.

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  • Can We Build Less Biased Medical Bots?

    Melalogic is an app that provides skin health resources to people with dark skin. The uses crowdsourced imaging data to confront racial bias in diagnostic artificial intelligence. Users can access the Black Skin Resource Center with information on 14 issues that affect people with darker skin. The app also shares health posters that physicians use to share information with their patients and videos with dermatologic tips. In the works is Melalogic 2.0, an immersive telehealth experience.

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  • The ‘AI-Powered Midwife' Helping Pregnant Nigerian Women and Newborns Stay Healthy

    Encouraged by her own pregnancy experience, medical technology expert Abisola Oladapo worked with two of her colleagues to create Sister Agnes. It is an AI system that delivers periodic, timely information to pregnant women by calls and texts in local languages to empower them with information about their health. 79 percent of the women who used the service delivered in health centers, were four times more likely to survive the pregnancy, and the survival rate of their children was 33 percent higher than the national average.

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  • How Social Media Fact-Checking Limits, But Can't Eliminate, Online Disinformation

    Social media companies are using artificial intelligence to help identify misinformation. Once identified, human fact checkers will verify the posts. Facebook uses 60 partnered fact-checking organizations as well as SimSearchNet++ image-recognition system that can identify image manipulation and slight changes to misinformation. Hundreds of millions of posts are flagged every year and those that are identified as “false” or “altered” are labeled with warnings and distribution is reduced.

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  • Treetop sensors help Indonesia eavesdrop on forests to cut logging

    In Indonesia, there are 27 “Guardian” sensors eavesdropping on forests as a way to monitor them for cases of illegal logging. The organization Rainforest Connection uses artificial intelligence to analyze the audio from these sensors and if the system picks up the sound of a chainsaw, it sends a mobile alert to community patrols in the area. This technology can be scaled for other parts of the world and habitats. “We're basically building a nervous system for the natural world," says Topher White, founder of the nonprofit.

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  • These Doctors Are Using AI to Screen for Breast Cancer

    With many women skipping routine mammograms due to COVID-19 restrictions, doctors at Massachusetts General Hospital are using an artificial intelligence algorithm to identify those at risk for developing breast cancer. The approach has proved successful in multiple instances, with those flagged by the algorithm three times as likely to develop cancer. “What the AI tools are doing is they're extracting information that my eye and my brain can't,” a doctor using the tool explained.

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  • An Algorithm Is Helping a Community Detect Lead Pipes

    BlueConduit, an analytics startup, applies statistical models to identify neighborhoods and households that might have lead pipes. The models include dozens of factors, such as the age of the home and proximity of other homes where lead has been found, to help predict likely locations of lead pipes and create a ranking by likelihood that cities can use to prioritize which pipes to examine. In Flint, MI, about 70% of the homes identified using the models had lead pipes, compared to about 15% of homes where excavations did not use the model. The company is working with organizations in dozens of other cities.

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  • The Newest Weapon Against Covid-19: AI That Speed-Reads Faxes

    Researchers from Stanford University have developed a software that uses machine-learning algorithms to identify and flag urgent faxes about COVID-19 cases. While the project doesn't have complete accuracy, it has helped overwhelmed and overburdened health care workers at the health department in Contra Costa County, California work more efficiently.

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