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
π 12 Nov, 4-6pm
π JCBC and zoom
π 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 π£οΈ
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 eventsβ¦
π» We hosted another successful workshop on "RECIST in the Era of #AI, Radiomics, and Beyond" organized by #CCE Imaging TF in collaboration with Education & Training pillar. Thanks to the insightful speakers and engaged attendees for making it a great session!
#Imaging#RECIST
We start the new academic year with a joint event with @CRUKCamBCVI π§
Weβll be hearing talks from @ml4cancer and @yizhwan on AI applications for brain cancer treatment
π Tue 29 Oct, 12-1pm
π Aromi from 11:45
π JCBC + Zoom
Sign-up link in comments π
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 π£οΈ
Congrats to Marika for a great talk and winning the poster prize!
π§ New Integrated Cancer Medicine podcast episode π https://t.co/l8GLwDGJAQ
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 π£οΈ
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 π£οΈ
They developed a machine learning model to predict response to anti-angiogenic treatment using multi-modal data from ccRCC patients π¬