Rare & Neglected Diseases — AI medical research

Hilar CholangiocarcinomaAI improved survival prediction after surgery for a rare liver cancer.Better predictions could help researchers measure patient outlook more accurately and design better follow-up studies for this cancer.LiverRead →
Skin Neglected Tropical DiseasesAI classified images of skin neglected tropical diseases with very high accuracy.This model could help researchers better measure and detect skin tropical diseases from images, improving study quality and future tool design if validated further.SkinRead →
ChordomaAI chatbots answered rare chordoma patients' common questions with better quality and care than doctors alone.This could help researchers test AI tools that deliver clearer and kinder answers for rare disease patients, improving how medical info is shared if validated further.BrainRead →
Myotonic Dystrophy Type 1AI generated clear and accurate answers to patient questions about a rare brain disorder.If validated further, this could help researchers find new ways to share information about rare diseases where specialist support is limited.BrainRead →
Immune Checkpoint ModulationAI guided discovery of immune proteins was tested and confirmed in patient cells.This could help researchers find new treatments by faster identifying immune targets validated in real cells, if validated further.Immune systemRead →
Acute Myeloid LeukemiaAI helped find gene patterns that predict patient outcomes in acute myeloid leukemia.This could help researchers find new markers to better measure and understand leukemia in bone marrow if validated further.BonesRead →
Cardiovascular Risk In Chronic Myeloid LeukemiaSynthetic data kept AI's risk predictions stable and clear in a rare heart disease study.This could help researchers study rare diseases better where real patient data is scarce by providing stable and understandable AI results.HeartRead →
Congenital Hypogonadotropic HypogonadismAI predicted fertility treatment outcomes well for a rare hormone disorder in adolescent boys.This could help researchers better measure and understand which factors affect treatment success in a rare disease. If validated further, it may point toward more tailored therapy studies.Cancer researchRead →
Neglected Tropical DiseasesAI helped analyze many studies to map disease risk and find research gaps about neglected tropical diseases in Africa.This could help researchers focus on which diseases and methods need more study and where to use AI to better track and control these diseases if validated further.Immune systemRead →