Archimedes Celebrates Professor Ananiadou's role in groundbreaking AI-Driven Cardiovascular Initiative
The British Heart Foundation (BHF) has awarded £4 million to support world-class cardiovascular research at The University of Manchester over the next five years, with the university matching this funding to bring the total investment to £8 million. Archimedes is proud to announce that one of our lead researchers, Professor Sophia Ananiadou of Manchester University, is co-leading this transformative project.
Professor Ananiadou's expertise in artificial intelligence will be instrumental in driving forward innovative approaches to refining the process through we identify and prevent disease in patients with cardiovascular diseases.
The Manchester British Heart Foundation Centre of Excellence will deliver scientific outputs of the highest quality that will benefit global populations with, or at risk of, cardiovascular diseases.
Starting in October 2024, the University of Manchester will host a new British Heart Foundation Centre of Research Excellence. This £4M award from the BHF, together with a £4M matched investment from the University, recognises the University’s recent progress towards international excellence in cardiovascular research, and particularly our success in leveraging the highly interdisciplinary collabobrative environment across three Faculties. The award, led by BHF Professor Bernard Keavney, will enable a step-change in the achievements of our cardiovascular research over the next five years, with two broad goals: first, to develop a new cadre of outstanding cardiovascular researchers; and second, to further develop the interdisciplinarity of our science.
One of the Centre Themes (Computational Modelling, Simulation, LLMs) are co-lead by S. Ananiadou and A. Frangi and will focus around the development and integration of advanced AI and data-driven methods (signal processing, computer vision, and natural language processing) with physics-driven methods (such as computational biomechanics and physics-informed learning) to gather and understand clinical information. By developing a specialized clinical and multimodal large language model for cardiovascular health we aim to support patient stratification, diagnosis, and prognosis prediction. The model will be evaluated on its ability to produce better predictions, dynamically update its clinical knowledge and facilitate communication between patients and clinicians across the Centre of Research Excellence. Considering the safety concerns of deploying LLMs in clinical settings, we will extensively validate and evaluate our models in an interdisciplinary setting, focusing on metrics beyond accuracy such as factuality and explainability.
Archimedes as a research institute is immensely honored to count Professor Sophia Ananiadou among its distinguished members. Her remarkable achievements and ongoing contributions exemplify the unit’s commitment to excellence and innovation. The drive and dedication of the entire Archimedes team reflect a collective pursuit of scientific breakthroughs and advancements, constantly pushing the boundaries of knowledge.
