We are very excited and honored to have received this award! Thanks to the pivotal support from UKRI, we will be able to research pioneering AI techniques tailored to rare cancers. It's a privilege to be engaged with so many UK sarcoma pathologists whose commitment is key.
Sarcoma research from Med Phys, @uclcancer & @RNOHnhs which uses #AI diagnosis to improve the classification of bone & soft tissue tumours awarded part of a £13m fund for AI research in healthcare funded by @UKRI_News and @SciTechgovuk
https://t.co/SXsBo2pBBl
#UCLResearch
We’re investing £13m in 22 new projects through our Technology Missions Fund that will bring together multidisciplinary teams to explore how to develop and use AI to accelerate healthcare research: https://t.co/7f57og7kwW
@michelledonelan@SciTechgovuk@ucl
We are delighted to announce that UCL has been awarded more than £2.2m to fund four AI research projects.
This forms part of a £13m pledge for AI research in healthcare, made by Secretary of State for Science, @michelledonelan, during her visit to UCL: https://t.co/NLzc1wKOxz
Sarcoma research from Med Phys, @uclcancer & @RNOHnhs which uses #AI diagnosis to improve the classification of bone & soft tissue tumours awarded part of a £13m fund for AI research in healthcare funded by @UKRI_News and @SciTechgovuk
https://t.co/SXsBo2pBBl
#UCLResearch
I’m delighted to announce the opening seminar of the Computational Cancer Collaboratorium by @markowetzlab on May 30th! The CCC is a new initiative in UCL that brings together the unique depth and breadth of our expertise in the field across the college. https://t.co/xrse4xWFLb
We're recruiting again! Join our group at @UCL with a post-doc position on AI/ML methods for digital pathology to improve efficiency and outcome prediction in lung cancer and sarcomas! https://t.co/BPlzZwn3mr
#ThisiswhataScientistlookslike 💪 Dr Esther Baer, RadNet Clinical Translation Fellow, who delivered a keynote speech at the European Society for Therapeutic Radiology and Oncology 2022 in Copenhagen, Denmark while caring for the youngest conference delegate in between sessions!✨
Following our work comparing RSP predictions with different photon and particle CT modalities, we investigated the resulting proton range differences in heterogeneous tissues. @UCLmedphys@RadNetCRUKCoL@cacfek@ProtonAdvanceRT@ipemnews@IOPMED
https://t.co/vhE31xAZzh
We're recruiting again! Join our group @UGI_at_UCL on a postdoc fellowship where you will be developing and applying statistical/ML methods to understand tumour evolution and cell fate switches: https://t.co/Eoq8zMbFkl #cancer#genomics#dataintegration#dormancy Please RT.
Next up on our Seminar Series with host @cacfek, is guest speaker Prof Phil Evans from @UniOfSurrey and @NPL who will be exploring 'The stability of texture analysis in CT images'. Don't miss out and register here: https://t.co/U1rTs8SqCg
Hello everyone! It's this time of the year where we search for motivated people to join the lab! We have two exciting opportunities to fill, to work on truly multi-omics data for AI outcome prediction in lung cancer. Exciting/impactful work! Details in the comments Please share!
The second position concerns relating images data (PET, CT, dose) to outcome, and to link with the first position (3 years). Neither medical images/AI experience is relevant, we can provide. We are looking for motivated people keen to make a difference! https://t.co/UB8mlj8fUR
Our mission is clear. Radnet City of London is aiming to reimagine radiation for the benefit of every cancer patient.
Watch our video to find out more: https://t.co/kLegdcCUKX