Iqra J. Iqbal

Junior Clinical Fellow, Cardiology

Biography: I am a Junior Clinical Fellow working in Cardiology, with a focus on innovative, data-driven medical research. I am currently collaborating with my clinical lead and the innovation department on a project aimed at improving the diagnostic process for Paroxysmal Nocturnal Haemoglobinuria (PNH) using data analytics. This research was recently presented at a conference in Liverpool, where it received positive recognition. We plan to expand the study to enhance the accuracy of our diagnostic model, which could significantly impact early detection and treatment of PNH.

Horizon Fellowship project summary: The project aims to develop a data-driven diagnostic model for identifying Paroxysmal Nocturnal Haemoglobinuria (PNH), a rare blood disorder. By leveraging machine learning algorithms to analyze clinical data, the goal is to improve early detection and reduce misdiagnosis. A key challenge is ensuring smooth access to relevant data, but the potential impact is significant—if successful, this model could serve as a template for diagnosing other rare diseases. The CW Innovation Horizon Fellowship will provide mentorship and resources to refine and implement this solution, ultimately enhancing patient care through advanced diagnostic technology.

Estimated number of patients / staff impacted by the project: The project is estimated to impact around 400-500 patients, focusing on those with aplastic anaemia (AA) or suspected Paroxysmal Nocturnal Haemoglobinuria (PNH), with potential to expand to other rare diseases.

Goal(s) for time on the Horizon Fellowship programme: My goal for the Horizon Fellowship is to refine and enhance our data-driven diagnostic model for Paroxysmal Nocturnal Haemoglobinuria (PNH), improving its accuracy and applicability. I aim to collaborate with mentors and leverage resources to expand the model’s impact on rare disease diagnosis and patient outcomes.