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Shakila Bibi
Daphne Jackson Research Associate
Dr Shakila Bibi is a translational research scientist working at the intersection of cardiovascular medicine, multi-organ imaging, and artificial intelligence. Her research focuses on ensuring that AI-driven clinical prediction models are robust, generalisable, and equitable across diverse populations.
Shakila evaluates multi-organ machine learning frameworks, including the HyTwin model, which integrates cardiac, brain, vascular, and body composition imaging to characterise cumulative organ damage. Her work specifically interrogates whether models trained on large-scale datasets, such as UK Biobank, perform consistently across different ethnic groups and sexes.
By testing and validating predictive tools in diverse populations, including the ARIC cohort, her research addresses a critical challenge in modern healthcare: preventing bias and inequity in the deployment of AI-based risk stratification. Her work aims to support the development of clinically meaningful precision medicine tools that serve all patients, not only those represented in training datasets.