LearnRare exists because rare-disease research is uniquely challenged by underrepresentation in research, small patient groups, low data availability and the lack of awareness in both the research community and the general public. Consequently, rare disease research often moves slowly, resulting in fewer innovations reaching those affected and causing systemic inequities that remain unaddressed.

To contribute to improving rare disease research, we follow our 3 core objectives:

Firstly, we utilise the incredible computational power of cutting-edge AI innovations to drive investigations, producing new knowledge more efficiently whilst adhering to a high scientific standard.

Secondly, we aim to improve the accessibility of our findings to appeal to broader audiences, such as students or budding health professionals, those living with rare diseases or their family members, and even established researchers and medical professionals. We do this by presenting our findings using short, concise reports with engaging visuals rather than long conventional academic papers - designed to be understood, not just published.

Thirdly, we combine our rapidly growing research portfolio with social media engagement and presence, sharing our results with a broader public audience. This allows us to promote awareness for rare diseases and contribute to addressing the inequities that exist.

AI-driven, accessible and improving awareness - we strive to make a real impact in rare disease research, one step at a time.