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Using Machine Learning to Individualise Treatment Effect Estimation:…
https://ccaim.cam.ac.uk/using-machine-learning-to-individualise-treatment-effect-estimation-challenges-and-opportunities/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Using Machine Learning to Individualise Treatment Effect Estimation: Challenges and Opportunities. 17 January 2024. by Andreas Bedorf. This work has been realised in a close collaboration of -
Cambridge Centre for AI in Medicine is a heavy hitter at NeurIPS 2020
https://ccaim.cam.ac.uk/cambridge-centre-for-ai-in-medicine-is-a-heavy-hitter-at-neurips-2020/23 Feb 2024: Find out more about the potential impact of OrganITE in this CCAIM news story. -
External Validity of Machine Learning-based Prognostic Scores for…
https://ccaim.cam.ac.uk/external-validity-of-machine-learning-based-prognostic-scores-for-cystic-fibrosis-new-publication/23 Feb 2024: The publication is the latest accomplishment in CCAIM’s ongoing efforts to push forward in cystic fibrosis research with the Floto lab and van der Schaar lab on the frontlines. -
Ten papers accepted at ICML 2021
https://ccaim.cam.ac.uk/announcement-ten-papers-from-ccaim-research-team-accepted-at-icml-2021/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Announcement: Ten papers from CCAIM research team accepted at ICML 2021! 20 May 2021. by Navneet Gidda. Members of the CCAIM research team will publish ten papers at this year’s International -
Million-patient study shows strength of machine learning in…
https://ccaim.cam.ac.uk/million-patient-study-shows-strength-of-machine-learning-in-recommending-breast-cancer-therapies/23 Feb 2024: Note: This news item was originally published by the van der Schaar Lab and Alan Turing Institute. -
Machine learning comes of age in cystic fibrosis
https://ccaim.cam.ac.uk/machine-learning-comes-of-age-in-cystic-fibrosis/23 Feb 2024: These attention weights can be used to explain the relationships between the patient’s previous clinical events and their disease progression – excellent news for clinicians aiming to piece together and explain ... By the patient’s latest visit (3 -
Royal Papworth Hospital wins funding award to accelerate artificial…
https://ccaim.cam.ac.uk/royal-papworth-hospital-wins-funding-award-to-accelerate-artificial-intelligence-technology-in-cystic-fibrosis/23 Feb 2024: Note: This news item was originally published by the Royal Papworth Hospital and adapted for use by the Centre. -
How pioneering Machine Learning can help to future-proof clinical…
https://ccaim.cam.ac.uk/how-pioneering-machine-learning-can-help-to-future-proof-clinical-trials-in-the-era-of-covid-19/23 Feb 2024: AI in Medicine, Professor Mihaela van der Schaar of the University of Cambridge – describes the impact that COVID-19 is having on clinical trials, and reveals how the latest machine learning ... They highlight the latest advances in reinforcement -
Advances in machine learning for cystic fibrosis revealed at the…
https://ccaim.cam.ac.uk/advances-in-machine-learning-for-cystic-fibrosis-revealed-at-north-american-cf-conference-2020/23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Advances in machine learning for cystic fibrosis revealed at the North American CF Conference 2020. 7 October 2020. by Sean O'Neill. World-leading machine learning (ML) technology developed at -
Ability of multi-drug resistant infection to evolve within cystic…
https://ccaim.cam.ac.uk/ability-of-multi-drug-resistant-infection-to-evolve-within-cystic-fibrosis-patients-highlights-need-for-rapid-treatment/23 Feb 2024: The study was funded by theand Fondation Botnar. Note: This news article was originally published by the University of Cambridge and adapted for use by the Centre. ——.
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