HSBuddy Development: Created HSBuddy, an AI-based application supporting individuals with Hidradenitis Suppurativa by identifying triggers and improving their quality of life.
Health Data Innovations: Research on models leveraging geolocation data, NLP, and ML for advancing diagnoses of Alzheimer’s, melanoma detection, and mental health.
HS Buddy
The research focuses on the development of HS Buddy, an AI-driven application aimed at supporting individuals with Hidradenitis Suppurativa. The application works by identifying potential triggers for flare-ups and offering personalized insights to improve the users’ quality of life. This system uses machine learning techniques to adapt to the unique needs of each individual, enhancing the management of this chronic condition.
Medical Diagnosis
The research explores innovative uses of health data for advancing medical diagnoses. Models that integrate geolocation data, natural language processing (NLP), and machine learning are being developed to improve early detection of Alzheimer’s, enhance melanoma detection, and address mental health issues. These advancements are being recognized at prestigious international forums, including BIOKDD 2024 and W3PHIAI-25, highlighting the significance of these contributions to the field of health AI.
