UKRI Future Leaders Fellow in personalized treatment and quantitative imaging for outcome prediction.
University College London
Joined January 2014
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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
buff.ly/3OxJENp
#UCLResearch
Charles-Antoine Collins-Fekete retweeted
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: orlo.uk/g9O9B
@michelledonelan @SciTechgovuk @ucl
ALT "The potential for AI to accelerate and improve all aspects of our health is vast. The UK is in a strong position in this field but with a range of challenges across many aspects of society, including the healthcare system, novel solutions are needed. That is why UKRI is investing in these projects in order to advance our research and improve health diagnostics and outcomes." Dr Kedar Pandya, Executive Director, Cross-Council Programmes at UKRI
Charles-Antoine Collins-Fekete retweeted
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: ucl.ac.uk/news/2023/aug/scie…
ALT Pictured from left to right: Mr Hani Marcus, Consultant Neurosurgeon and Honorary Associate Professor, UCL Queen Square Institute of Neurology (left), Michelle Donelan, MP for Chippenham and Secretary of State for Science, Innovation and Technology (middle), and Dr Sophia Bano, Assistant Professor in Robotics and Artificial Intelligence, UCL Welcome/ESPRC Centre for Interventional and Surficial Sciences. They trio are demoing a device on an artificial nose, whilst all wearing UCL branded lab coats.
Charles-Antoine Collins-Fekete retweeted
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
buff.ly/3OxJENp
#UCLResearch
Charles-Antoine Collins-Fekete retweeted
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. eventbrite.com/e/62165086346…
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! atsv7.wcn.co.uk/search_engin…
Charles-Antoine Collins-Fekete retweeted
#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!✨
Charles-Antoine Collins-Fekete retweeted
This is how going to a conference looks like these days for @cacfek and myself! Excited to see how we manage to multitask between parenting a 5 month old and giving an invited talk! #ESTRO2022 @UCLEngineering @ProtonAdvanceRT @UCLmedphys
Charles-Antoine Collins-Fekete retweeted
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
iopscience.iop.org/article/1…
Charles-Antoine Collins-Fekete retweeted
Check out our latest paper, the product of an exciting collaboration between @ProtonAdvanceRT, @DKFZ, and @LLUHealth investigating different imaging systems to predict RSPs for particle therapy.
@UCLmedphys @cacfek @uclh @RadNetCRUKCoL @aapmHQ
aapm.onlinelibrary.wiley.com…
Charles-Antoine Collins-Fekete retweeted
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: tinyurl.com/34wakk26 #cancer #genomics #dataintegration #dormancy Please RT.
Charles-Antoine Collins-Fekete retweeted
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: eventbrite.co.uk/preview?eid…
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! atsv7.wcn.co.uk/search_engin…
Charles-Antoine Collins-Fekete retweeted
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: bit.ly/3hk2M27
Charles-Antoine Collins-Fekete retweeted
A unique Junior Group Leader opportunity with access to our London-wide research unit! There's still time to apply.
@QMBCI @crukkhp @TheCrick @UCLmedphys @uclcancer @CRUKCOLcentre @CRUKresearch
WE ARE HIRING #juniorgroupleader ! We're looking for 2 exceptional early career scientists in #radonc or #radbio to join our team. Enquire within! crukradnet.colcc.ac.uk/join-…
Still time to apply for this amazing position! Looking for people that want to make a difference in radiotherapy for lung cancer, that are excited about multi-dimensional data and interpretable AI, and who wish to work in a multi-disciplinary team! Feel free to share #ukriflf
I am very excited to advertise a new 4 years position in my research group to work with us on lung cancer outcome prediction. This is a very exciting opportunity, don't hesitate to apply and contact me for more info! #ukriflf @uclcancer @UCLmedphys
atsv7.wcn.co.uk/search_engin…