Crispin Lab @CrispinLab
🔬 Computational Cancer Medicine lab 🩻 Multiomic data integration & imaging 🎓 @Cambridge_Uni @CRUKCamCentre crispinlab.com Cambridge, UK Joined August 2022-
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We welcomed the Minister for AI to Cambridge on Monday, and showcased the potential of deep-learning applied to healthcare.
We welcomed the Minister for AI to Cambridge on Monday, and showcased the potential of deep-learning applied to healthcare.
Our next MedAI seminar will be in collaboration with the @SASsoftware Advanced Analytics Hub, @Maxwell_Centre and @OTR_Cambridge Join us next week for talks followed by networking and refreshments 📅 12 Nov, 4-6pm 📍 JCBC and zoom 👇 sign up below
Members of our lab visited sunny San Francisco for #EDxConf2024 last month! @williammcgough_ presented a poster on early detection for kidney cancer, and @bharathnarayana spoke about his work on the early progression of ovarian cancer 🗣️
Full house for the @CambridgeMedAI seminar yesterday with talks from @ml4cancer and @yizhwan! This event was part of a series on AI in medicine, co-hosted by our lab members Ines Machado and @hannahj_clayton alongside @radiology_UOC Stay tuned for future events…
We start the new academic year with a joint event with @CRUKCamBCVI 🧠 We’ll be hearing talks from @ml4cancer and @yizhwan on AI applications for brain cancer treatment 📅 Tue 29 Oct, 12-1pm 🍕 Aromi from 11:45 📍 JCBC + Zoom Sign-up link in comments 👇
The @CRUKCamCentre group at the @CancerCoreEU summer school in lovely Albufeira @PortoBay! A fantastic week long educational event for translational cancer researchers #CCESummSchool24 #precisionmedicine #AI #cancerresearch #imaging #clinicaltrials #datascience
Next up, our PhD students @MarikaReinius and @hannahj_clayton attended the @CancerCoreEU Summer School in Translational Cancer Research in Portugal! It was a fantastic week of talks, workshops and discussions 🗣️ Congrats to Marika for a great talk and winning the poster prize!
October has been a busy month of travelling for the Crispin Lab! ✈️ First up, our postdocs Zeyu Gao and Ines Machado presented work at #MICCAI2024 in sunny Morocco 🩻
Expanding on @williammcgough_ 's talk, our second newest Group leader @mireiacrispin explains how AI imaging techniques are being developed for #EarlyDetection. #ECISymposium2024
Always a really popular section of our event - today we heard three excellent talks from early career researchers @__AFonseca @GiovannaMantica and @williammcgough explaining their work. #ECSymposium2024
🎧 New Integrated Cancer Medicine podcast episode 👉 zurl.co/jPR3 Dr. Ines Machado, Dr. Gabriel Funingana, Thomas Buddenkotte, and Amied Shadmaan discuss AI in cancer research and update us on the @GEHealthCare collaboration. @Cambridge_Uni @CUH_NHS @CRUKresearch
Our PhD students @williammcgough_ @HaniaWyciszczok and @reb_wray presented flash talks at the launch of the @CRUKCamUrol virtual institute yesterday 🗣️ Great to hear about their work on AI for early detection, risk stratification, and clinical decision-making in renal cancer!
Our lab members @HaniaWyciszczok and @reb_wray are presenting their work on kidney cancer at a @CambridgeMedAI seminar later this month 🗣️ They developed a machine learning model to predict response to anti-angiogenic treatment using multi-modal data from ccRCC patients 🔬
Our lab members @HaniaWyciszczok and @reb_wray are presenting their work on kidney cancer at a @CambridgeMedAI seminar later this month 🗣️ They developed a machine learning model to predict response to anti-angiogenic treatment using multi-modal data from ccRCC patients 🔬
📢 Join #CCE Virtual Workshop: RECIST in the era of AI, RADIOMICS & beyond 🚀 next October 23 at 13:00 CET. More info ➡️ indico.dkfz.de/event/818 #Imaging #RECIST #AI #CancerResearch @CrispinLab @radiomicsVHIO
Really enjoyed speaking with Ellie Wolmark and @MariaBioeng about the ovarian 3D mould-based radiogenomics project in this ICM podcast.
Really enjoyed speaking with Ellie Wolmark and @MariaBioeng about the ovarian 3D mould-based radiogenomics project in this ICM podcast.
Our clinical research training fellow @FuninganaMD presented a poster at @mlforhc 2024 this weekend Gabriel and the group used medical image registration techniques to assess local tumour response patterns in high-grade serous ovarian carcinoma 🩻🔬
Mireia Crispin @CrispinLab @EarlyCancerCam uses computational methods on data from routine medical scans to diagnose cancer earlier and personalise treatment for patients. #ChangingTheStoryOfCancer @Cambridge_Uni @CUH_NHS @CambCancer @CRUKresearch zurl.co/bJyB

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