Louis Tsere
Louis Tsere is a visionary medical student and researcher driven by a commitment to transforming healthcare through data-driven solutions. With a strong foundation in health innovation, he is passionate about using evidence-based strategies to improve patient outcomes and public health systems. As the team lead of Saratani AI, Louis has played a role in bringing together a team of skilled individuals while embracing diversity. He is a team player and helped achieve several milestones, including obtaining a point of care technology grant from C-THAN under the umbrella of Northwestern University and Muhimbili University of Health and Allied Sciences, which serves as a centre of medical research and innovation.
He is a firm believer of change in the health sector in developing settings such as Tanzania and has found the need to utilize technology to aid in diagnostics and save people’s lives. With this, Saratani AI has been brought up to bring this belief to reality.
Lucy V. Kitambala
Lucy V. Kitambala is a medical student at MUHAS with a great passion for public health and
healthtech and innovation. She has led her colleagues in doing a number of research projects in nutrition, sexual and reproductive health and environmental health while incorporating the one-health approach.
Her great drive also placed her as one of the leaders in the Students' HealthTech and Innovation Ecosystem in the university. Through this, she has reached over 2000 students, academicians and stakeholders to spread awareness on the potential positive impacts of technology in healthcare, helped create over 10 innovative solutions with five of them currently scaling-up, built capacity of the students in research and innovation and also provide a platform for students to present their findings in research, innovation and clinical practice.
She is the Clinical Lead at Saratani AI, where she works to ensure Saratani AI fulfils its objectives while adhering to all medical ethics. Her vision is to see Saratani AI become an accessible and accurate solution for screening and diagnosing cervical cancer in low-resource settings. Hence, improving health access for all.
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