Haiping Lu listed in Top 100 AI Leaders in Biomarkers Technology

Professor Haiping Lu has been recognised by the Aging Analytics Agency as a leader in the field of AI Biomarker Technology.

Dr Haiping Lu profile photo

Founded in 2013 the Aging Analytics Agency is the world’s premier provider of industry analytics on the topics of Longevity, Precision Preventive Medicine and Economics of Aging, and the convergence of technologies such as AI, Blockchain, Digital Health and their impact on the healthcare industry.

Haiping’s research focuses on developing translational AI technologies for better analysing multimodal data in healthcare and beyond, particularly multidimensional data and heterogeneous graphs in bioinformatics and medical imaging. He leads the development of the PyKale software library to provide more accessible machine learning from multiple sources for interdisciplinary research, officially part of the PyTorch ecosystem. He is the Turing Academic Lead and Head of AI Research Engineering at the University of Sheffield. He is also the lead organiser and founder of the Alan Turing Institute’s interest group on meta-learning for multimodal data.

Haiping said “being recognised by the Aging Analytics Agency for my contributions to research in the field of AI Biomarker Technology is an honour. This important field of research has lots of important applications including improving early disease detection, drug development, predictive healthcare, and quality of life”.

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