Hackathon energizes digital AI healthcare solutions | News

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April 16, 2024 – More than 500 people from around the world will spend two days tackling healthcare challenges at an early April hackathon hosted by the Health Systems Innovation Lab (HSIL) at Harvard University's TH Chan School of Public Health. We have developed innovative ideas for

The hackathon, held on April 5th and 6th, fostered an environment where participants can devise solutions that help improve healthcare by leveraging digital health and artificial intelligence (AI), such as health-related apps and personalized medicine. The purpose was to. It's one of his three areas of focus: cardiovascular disease and diabetes, cancer, and mental health. The event drew participants from more than 30 countries to his many locations around the world, including Boston. Buenos Aires, Argentina; Kyiv, Ukraine. Lima and other cities in Peru. London, UK. Santiago, Chile. and São Paulo, Brazil. Participants included students, postdocs, and young professionals.

The hackathon began with an opening panel moderated by Rifat Atun, Professor of Global Health Systems and Director of HSIL. Panelists shared insights on the latest trends in the use of AI and digital solutions in healthcare and how to scale up and sustain innovation in this field.

The team then got to work. Throughout the event, teams were supported by both in-person and online mentors. On his second day of the hackathon, each team pitched their ideas to a panel of judges at each venue, and one winner was chosen per track.

Diabetes, mental health innovation

Winners of the Boston Hub, which hosted 70 participants at Countway Library, include Cardiovascular Disease and Diabetes, which developed an idea called “SweetAudio,” a machine learning model that can analyze variables such as the pitch and pitch of the human voice. Track teams were included. Measures intensity to estimate blood sugar levels. Team member Dr. Heinh Tu, who will receive a master's of public health degree in health management from the Harvard Chan School in May, said blood sugar levels can affect the elasticity of the larynx and vocal cords, leading to chronic He explained that diabetes can cause muscle disease and muscle disease. Muscle weakness may occur and cause speech problems. The SweetAudio model is trained by matching audio variations to blood sugar levels measured by a continuous blood glucose monitor (CGM). Once the model is fine-tuned, it will be able to analyze a person's voice and provide an estimate of their blood sugar level in just a few seconds. The plan is to offer a free version of SweetAudio to low-income people who may not have access to CGMs or blood sugar test strips, Thu said.

Another winning team in the mental health field, based in Boston, proposed an AI bot called Sam.io that helps mental health patients adhere to their medications through personalized follow-up care. Reasons for poor adherence among mental health patients include low health literacy, mistrust of doctors, and side effects of medications, said team member Marielle Sander, a student at Harvard Medical School. The Sam.io bot will not only be able to talk to patients by phone or text, but it will also be able to understand patients' emotions from their voices and language, Sander said.

All winning teams will be invited to attend a bootcamp in preparation for pitching their ideas to a global panel of judges in early May. Winners of the global judging will be invited to participate in HSIL's six-month Venture Incubation Program (VIP) to foster innovation. Through VIP, winners will receive online support from academic and entrepreneurial partners in Brazil, Mexico, Colombia, Peru, and Saudi Arabia on how to fine-tune their ideas, present business proposals, develop startup financial projections, and pitch their ideas. You can receive potential partners and investors.

– Karen Felscher

Photo: Jonathan Gong





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