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Reteena

We are building Low-Field MRI Resolution Image Enhancement Framework for Better Alzheimer's Diagnosis and the LLM-based Memory Repository for Reminiscence Therapy

Reteena shares the same pronunciation as retina, a vital part of the eye used for vision. Like the retina, Reteena aims to provide a new perspective on Alzheimer's, illuminating pathways toward effective treatment.

We have achieved multiple milestones: submission to MIT SOLVE, presentation at IEEE BigData 2024, sponsorship from Microsoft Founders Hub, and accomplishments behind our innovative work.

Our team will soon launch our memory repository platform in partnership with OpenNLP labs. We continuously experiment with innovative concepts and new ideas! Leave your email below for more information.

Our Team

We're a close-knit team of standout undergraduates and high schoolers, combining deep expertise in healthcare and AI to push boundaries and create meaningful impact with purpose, vision, and resilience.

Alex YangNorth London Collegiate School Jeju
Jainish PatelLake Minneola High School
Aarav MinochaUniversity of California, Berkeley
Jessica WuUniversity of Rochester
Bhavya MannaniUniversity of California, Berkeley
Sunkalp ChandraHigh Technology High School
Sanghoo AhnNorth London Collegiate School Jeju
Nathan HeOcean Lakes High School
Ivan MaUniversity of California, Berkeley
Olivia JeonWhite Oaks Secondary School
Devesh KhilnaniThomas Edison EnergySmartCharter School
Noah SmallUniversity of California San Diego