Today Rebecca Wray and bill presented posters on their work on kidney cancer at the CRUK Cambridge Centre Postgraduate Symposium 🧑‍🔬🧑‍💻 Well done to Rebecca Wray for co-organising the event!

Early Cancer Institute, University of Cambridge researchers feature in Cambridge University cancer focus campaign #ChangingTheStoryOfCancer Inside the institute looking at early cancer youtu.be/G0ZsrAYJg_Q?si… via YouTube

The Crispin Lab was featured in a Cambridge University video as part of a campaign showcasing the cancer research happening across our campus 👉 youtu.be/G0ZsrAYJg_Q?si… Groups at the Early Cancer Institute, University of Cambridge are #ChangingTheStoryOfCancer by finding ways to detect cancer in its early stages

Scientists Early Cancer Institute, University of Cambridge are finding radical new ways to spot #cancer early so that it can be treated more easily. Their work will benefit patients at Cambridge Cancer Research Hospital CRUK Cambridge Centre, across the UK and beyond. Cambridge is #ChangingTheStoryOfCancer.

🥊 AI versus cancer The Cambridge researchers using machine intelligence to beat disease 👇 cam.ac.uk/stories/cambri… #ChangingTheStoryOfCancer #AI #CancerResearch

Congrats @HaniaWyciszczok and Hannah Clayton :))

Mireia Crispin Crispin Lab Early Cancer Institute, University of Cambridge uses computational methods on data from routine medical scans to diagnose cancer earlier and personalise treatment for patients.  #ChangingTheStoryOfCancer Cambridge University Cambridge University Hospitals NHS Cambridge Cancer Research Hospital Science and Innovation at Cancer Research UK zurl.co/bJyB

Our PhD students bill @HaniaWyciszczok and Rebecca Wray presented flash talks at the launch of the CRUK Cambridge Centre: Urological Malignancies virtual institute yesterday 🗣️ Great to hear about their work on AI for early detection, risk stratification, and clinical decision-making in renal cancer!

CLINICAL TRIAL NEWS!! Results from the world's first kidney cancer screening trial are out now! In an asymptomatic population, 20 cancers were found early. sciencedirect.com/science/articl…

Today we attended the Early Cancer Institute, University of Cambridge Annual Symposium 2024. Our PhD student bill spoke about his work on kidney cancer screening via AI. Great work, Bill! #ECISymposium2024

Members of our lab visited sunny San Francisco for #EDxConf2024 last month! bill presented a poster on early detection for kidney cancer, and Bharath Narayanan spoke about his work on the early progression of ovarian cancer 🗣️

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Fantastic to see first-hand how Cambridge University and Cambridge University Hospitals NHS are using the power of AI for early disease detection. The AI Opportunities Action Plan will not only make our healthcare system more efficient, it will enable patients to live longer, healthier lives.

Wonderful to have AI legends like Demis backing the AI Action Plan - and agreeing to be involved as an advisor 🙏

We welcomed the Minister for AI to Cambridge on Monday, and showcased the potential of deep-learning applied to healthcare.

We were delighted to welcome AI Minister Feryal Clark MP from Department for Science, Innovation and Technology to the University of Cambridge on the day the Government launched the AI Action Plan 👇

This week is kidney cancer awareness week #KCAW2025 and one of our PhD students, bill speaks about how he is using AI to assist clinicians in cancer diagnosis.

PhD Student bill from Cambridge University explains how AI could impact the future of healthcare by providing early screening for cancers at a fraction of the cost of current methods.

Did you know Cambridge is home to the UK’s fastest AI supercomputer? With more than a thousand top-end Intel GPUs operating inside its server stacks, our supercomputer Dawn enables scientists to make huge advances in climate, health and clean energy research. Explore Dawn 👇

Scientists Early Cancer Institute, University of Cambridge like bill are at the forefront of the machine intelligence revolution, harnessing its power to diagnose hard to detect cancers, such as kidney cancer, as well as using it to predict how cancer patients will respond to treatment