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https://ccaim.cam.ac.uk/tag/ai/feed/
https://ccaim.cam.ac.uk/tag/ai/feed/21 Feb 2024: individualise-treatment-effect-estimation-challenges-and-opportunities/#respond Andreas Bedorf Wed, 17 Jan 2024 16:24:08 0000 Featured News News Uncategorised AI AstraZeneca CCAIM ML Review Treatment Effect Estrimation Treatment ... We formalize these -
https://ccaim.cam.ac.uk/category/event/feed/
https://ccaim.cam.ac.uk/category/event/feed/21 Feb 2024: This work describes new hierarchical deep generative models for modelling data with missing values. ... As example workflows, we make available two new protein structure-related datasets, previously unused by the geometric deep learning community. -
https://ccaim.cam.ac.uk/tag/ccaim/feed/
https://ccaim.cam.ac.uk/tag/ccaim/feed/21 Feb 2024: individualise-treatment-effect-estimation-challenges-and-opportunities/#respond Andreas Bedorf Wed, 17 Jan 2024 16:24:08 0000 Featured News News Uncategorised AI AstraZeneca CCAIM ML Review Treatment Effect Estrimation Treatment ... We formalize these -
https://ccaim.cam.ac.uk/category/cystic-fibrosis/feed/
https://ccaim.cam.ac.uk/category/cystic-fibrosis/feed/21 Feb 2024: external-validity-of-machine-learning-based-prognostic-scores-for-cystic-fibrosis-new-publication/#respond Andreas Bedorf Wed, 21 Dec 2022 17:37:00 0000 Cystic fibrosis News Organ transplantation Research News ... Similar phenomena have been seen in a -
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: Similar phenomena have been seen in the evolution of new SARS-CoV-2 variants in immunocompromised patients. ... reduce the risk of transmission, stop the bug evolving further, and potentially prevent the emergence of new pathogenic variants.”. -
https://ccaim.cam.ac.uk/author/ng501/feed/
https://ccaim.cam.ac.uk/author/ng501/feed/21 Feb 2024: Many existing algorithms restart training for each new hyperparameter choice, at considerable computational cost. ... Gidda Tue, 07 Dec 2021 17:52:43 0000 Featured News News AI artificial intelligence Cambridge cambridge university CCAIM conference -
https://ccaim.cam.ac.uk/category/conference/neurips/feed/
https://ccaim.cam.ac.uk/category/conference/neurips/feed/21 Feb 2024: This work describes new hierarchical deep generative models for modelling data with missing values. ... As example workflows, we make available two new protein structure-related datasets, previously unused by the geometric deep learning community. -
https://ccaim.cam.ac.uk/tag/future-of-work/feed/
https://ccaim.cam.ac.uk/tag/future-of-work/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
https://ccaim.cam.ac.uk/tag/healthcare/feed/
https://ccaim.cam.ac.uk/tag/healthcare/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
Conference Season 2023: 20 papers from CCAIM accepted at AISTATS and…
https://ccaim.cam.ac.uk/conference-season-2023-20-papers-from-ccaim-accepted-at-aistats-and-iclr/23 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... First, we formulate this question as a new type of optimal stopping/switching problem called the optimal commitment problem (OCP). -
https://ccaim.cam.ac.uk/tag/machine-learning/feed/
https://ccaim.cam.ac.uk/tag/machine-learning/feed/21 Feb 2024: question. SMC builds a new ensemble weighting existing models according to their likelihood to accurately represent a novel case. ... We formalize these failure modes and provide three new generative metrics to quantify them. -
https://ccaim.cam.ac.uk/tag/conference/feed/
https://ccaim.cam.ac.uk/tag/conference/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
https://ccaim.cam.ac.uk/category/conference/iclr/feed/
https://ccaim.cam.ac.uk/category/conference/iclr/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
Matching last year’s total, 18 papers from CCAIM accepted at NeurIPS…
https://ccaim.cam.ac.uk/eighteen-papers-from-cambridge-centre-for-ai-in-medicine-accepted-at-neurips-2021/23 Feb 2024: To bridge the gap, this paper develops a new method, SyncTwin, that learns a patient-specific time-constant representation from the pre-treatment observations. ... In this paper, we propose a new solution to this problem called Functional Variational -
https://ccaim.cam.ac.uk/tag/van-der-schaar/feed/
https://ccaim.cam.ac.uk/tag/van-der-schaar/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
https://ccaim.cam.ac.uk/tag/cambridge-centre-for-ai-in-medicine/feed/
https://ccaim.cam.ac.uk/tag/cambridge-centre-for-ai-in-medicine/feed/21 Feb 2024: launch/#respond Sean O'Neill Wed, 11 Nov 2020 11:00:21 0000 Featured News News AstraZeneca Cambridge Centre for AI in Medicine CCAIM Floto GSK machine learning medical AI van ... ac.uk/transforming-medicine-through-ai-enabled-healthcare/#respond Sean -
https://ccaim.cam.ac.uk/category/conference/feed/
https://ccaim.cam.ac.uk/category/conference/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
https://ccaim.cam.ac.uk/tag/artificial-intelligence/feed/
https://ccaim.cam.ac.uk/tag/artificial-intelligence/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
https://ccaim.cam.ac.uk/category/news/research-news/feed/
https://ccaim.cam.ac.uk/category/news/research-news/feed/21 Feb 2024: 09:25:09 0000 Impact News Research Research News Cambridge Centre for AI in Medicine machine learning https://ccaim.cam.ac.uk/?p=5908 SMC builds a new ensemble weighting existing ... validity-of-machine-learning-based-prognostic-scores-for-cystic-fibrosis -
https://ccaim.cam.ac.uk/category/news/featured-news/feed/
https://ccaim.cam.ac.uk/category/news/featured-news/feed/21 Feb 2024: individualise-treatment-effect-estimation-challenges-and-opportunities/#respond Andreas Bedorf Wed, 17 Jan 2024 16:24:08 0000 Featured News News Uncategorised AI AstraZeneca CCAIM ML Review Treatment Effect Estrimation Treatment ... We formalize these -
CCAIM at ICML 2023 Researchers from the Cambridge Centre ...
https://ccaim.cam.ac.uk/wp-content/uploads/2023/07/CCAIM-at-ICML-2023.pdf24 Jul 2023: In this work, we rethink. this question with a new method for learning summary statistics. ... demonstrated across the subpopulation on average -- give. rise to interesting challenges and new desiderata when. -
CCAIM at NeurIPS 2023 Researchers from the Cambridge Centre ...
https://ccaim.cam.ac.uk/wp-content/uploads/2023/10/CCAIM-at-NeurIPS-2023-2.pdf30 Oct 2023: empirically validate existing conjectures or to. formulate new ones. To bridge these gaps, we. ... level, we show TRIAGE enables new approaches to dataset selection and feature acquisition. -
AI AND MACHINE LEARNING FOR HEALTHCARE Summer School Event ...
https://ccaim.cam.ac.uk/wp-content/uploads/2022/09/Summer-School-Booklet-Website.pdf1 Sep 2022: users because it will lower barriers to entry and unlock potent new capabilities that are. ... targeting in human cells and mice, to propose new therapeutic hypotheses in Alzheimer’s,. -
Report for the Independent scientific advisory board Meeting
https://ccaim.cam.ac.uk/wp-content/uploads/2023/05/CCAIM-ISAB-Report-January-2023.pdf9 May 2023: Title: Panning for insights in medicine and beyond: New frontiers in machine learn-. ... ahead. This coming year we aim to develop new machine learning methodology for.
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