AI Platform iGenRARE Aims to Accelerate Rare Disease Diagnosis
Researchers at Khalifa University in Abu Dhabi are developing an artificial intelligence platform called iGenRARE, designed to assist physicians in diagnosing rare genetic diseases. The platform aims to shorten the often lengthy diagnostic journey for patients, which can span years due to the thousands of rare conditions with overlapping symptoms. iGenRARE integrates various medical data sources, including symptoms, clinical notes, genetic information, laboratory results, medical imaging, and scientific literature. It utilizes multiple AI agents to analyze different data points and a central reasoning system to synthesize findings, ranking possible diagnoses and providing supporting evidence. The system's goal is not to replace doctors but to help them identify unusual symptom combinations and connect disparate clues that might otherwise be overlooked, thereby bringing less obvious possibilities to a doctor's attention earlier in the diagnostic process. 
