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Have you heard about NVIDIA Cambridge-1? It is the UK’s most powerful supercomputer dedicated to healthcare and life sciences research. It will enable top scientists and healthcare experts to use the powerful combination of AI and simulation to speed up the digital biology revolution and develop a deeper understanding of dementia, cancer, and other serious diseases, as well as accelerate drug discovery and genome sequencing.
Led by NVIDIA and carried out in close collaboration with the NHS and the UK Biobank, one of the richest biomedical databases in the world, the project has King’s College London as one of the key and founding partners, together with Guy's and St Thomas' NHS Foundation Trust (GSTT) and industry partners like AstraZeneca, GSK, Oxford Nanopore Technologies and other MedTech startups.
At King’s and GSTT, researchers are using the supercomputer to teach AI models to generate synthetic brain images by learning from tens of thousands of MRI brain scans from patients of various ages and with different medical conditions. By producing an infinite amount of never-seen brain images with specific characteristics, this synthetic data model will enable a more nuanced understanding of what diseases such as dementia, stroke, brain cancer and multiple sclerosis look like, potentially leading to earlier and more accurate diagnosis.
Join us to learn more about this disruptive project, which will save lives and transform patient care.
Speaker:
M Jorge Cardoso is a Reader in Artificial Medical Intelligence at King’s College London, where he leads a research portfolio on big data analytics, quantitative radiology and value-based healthcare. Jorge is also the CTO of the new London Medical Imaging and AI Centre for Value-based Healthcare. He has more than 12 years of expertise in advanced image analysis, big data and artificial intelligence, and co-leads the development of project MONAI, a deep-learning platform for artificial intelligence in medical imaging. He is also a founder of BrainMiner and Elaitra, two medtech startups aiming improve neurological care and breast cancer diagnosis, respectively.