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🎥 Statistical Methods for Health Equity Webinar: Vincent Jeanselme (Columbia University)🎥
We were delighted to host  Vincent Jeanselme a postdoctoral researcher at the reAIM Lab, Columbia University, for the latest instalment of our webinar series on statistical methods for fairness and equity in healthcare. Topic:  Advancing AI-Based Risk Prediction for Improved Decision-Making in Healthcare Abstract Accurate prediction of patient outcomes plays a critical role in healthcare decision-making, shaping treatment strategies, clinical guidelines, hospital operations
Nov 12, 2025
Help Shape Inclusive Musculoskeletal (MSK) Research: Volunteer Resource Curator Wanted
Bring data scientists and interdisciplinary musculoskeletal experts together to tackle health inequity for the benefit of the wider community. As people live longer, musculoskeletal (MSK) disease and injury are rising . Age-related bone degeneration reduces independence through increased falls and fractures, and MSK conditions often intersect with other long-term conditions. The scale is sobering: hip fractures are projected to reach 6.3 million by 2050 , and diabetic lower-l
Nov 7, 2025
📄Data Diversity Theme survey: Challenges in embedding inclusion and diversity in data-driven health research
Share your views and help us shape the priorities of the Data Diversity theme for the next year! The Turing Way Community, & Scriberia. (2024). Illustrations from The Turing Way: Shared under CC-BY 4.0 for reuse. Zenodo. https://doi.org/10.5281/zenodo.13882307 Health datasets can fail to fully represent the populations they aim to serve. When certain groups are missing or measured inconsistently, research findings may not generalise, and data-driven tools can perform less we
Nov 6, 2025
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