As graduate students at the University of California, Berkeley, specializing in machine learning and deep learning, we are dedicated to leveraging data science for social good.

Childhood leukemia is a formidable foe, especially in underserved regions, making diagnosis challenging.

Our solution: machine learning models designed to identify childhood leukemia from blood smears. This technology empowers local clinics to boost their diagnosis capabilities without needing specialized human expertise.

By collaborating with local medical professionals, we aim to provide a powerful diagnostic tool that ensures early and accurate cancer detection at a much broader scale.

We are hopeful that our advanced machine learning models, working in collaboration with local healthcare professionals, will enable children worldwide to receive timely cancer diagnoses, greatly enhancing their chances of survival and furthering our commitment to the mission of 'A World for Every Child'.