Code for Healthcare

PulsePal - EquiHER | Albania Women are 50% more likely to be misdiagnosed after a heart attack (British Heart Foundation, 2016), wait on average four years longer to be diagnosed with autoimmune diseases (Angum, 2020), and 30% wait over a year for a brain tumour diagnosis, twice as long as men. These statistics reveal a major diagnostic bias in healthcare. EquiHER addresses this inequity through an AI-powered diagnostic risk assessment tool aligned with UN SDG 3.8: Universal

NextGen Sports Tech | USA Sports Med AI is an interactive app that uses artificial intelligence to analyze user-reported injury details and provide personalized recovery recommendations, warning signs, and next-step guidance.

The Sin Karkinos Project | USA Sin Karkinos is an innovative machine learning initiative aimed at addressing one of healthcare’s most pressing challenges, which is early and affordable cancer diagnosis. By developing and fine-tuning deep learning models trained on MRI brain scans, our project establishes a baseline for scalable diagnostics that can detect tumors with high accuracy. Our vision extends beyond model performance: we aim to create a system that allows anyone, anyw