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News

Revolutionizing Healthcare: Gathering expertise: which AI skills should medical professionals learn?

21 September 2023 by Andreas Bedorf

For our Revolutionizing Healthcare engagement series in conjunction with the van der Schaar Lab, we are inviting practicing clinicians and medical students to our next session on 10 October from 16:00-17:30 …

Read moreRevolutionizing Healthcare: Gathering expertise: which AI skills should medical professionals learn?

The governance of artificial intelligence – CCAIM makes recommendations to government

13 September 2023 by Andreas Bedorf

Over the course of several months, the Science and Technology Committee came together to hear evidence on the rapid advancement of AI, its influence on various aspects of our lives, …

Read moreThe governance of artificial intelligence – CCAIM makes recommendations to government

CCAIM at ICML 2023: All you need to know

24 July 2023 by Andreas Bedorf

CCAIM Faculty members will present 12 papers when Fortieth International Conference on Machine Learning (ICML 2023) takes place from 23 – 29 July, one of the most prominent annual gatherings of researchers, globally …

Read moreCCAIM at ICML 2023: All you need to know

CCAIM 2.0 – an Invitation

5 July 2023 by Andreas Bedorf

We are thrilled to announce that the Cambridge Centre for AI in Medicine (CCAIM) has successfully completed its initial stage, as evidenced by the positive outcomes highlighted in the recent ISAB report.  Building …

Read moreCCAIM 2.0 – an Invitation

Prof Mihaela van der Schaar writes for The Guardian about AI-powered personalised medicine

26 June 2023 by Andreas Bedorf

In a guest article for The Guardian, released on 26 June, our director Prof Mihaela van der Schaar outlines how artificial intelligence could transform the way medical professionals treat diseases …

Read moreProf Mihaela van der Schaar writes for The Guardian about AI-powered personalised medicine

Prof Mihaela van der Schaar speaks with the BBC about how AI is already improving medicine

20 June 2023 by Andreas Bedorf

In an interview with BBC News Mundo, released on 14 June, our director Prof Mihaela van der Schaar spoke with journalist Margarita Rodríguez as part of an article on “3 …

Read moreProf Mihaela van der Schaar speaks with the BBC about how AI is already improving medicine

Speakers

6 June 2023 by Andreas Bedorf

We will present more speakers over the coming months. Keynotes

Read moreSpeakers

Prof Mihaela van der Schaar joining panel on oncology at ASCO2023

1 June 2023 by Andreas Bedorf

This Friday (2 June 2023), our director Prof Mihaela van der Schaar will be joining the panel on “From chip to bedside – Oncology in silico R&D” as part of …

Read moreProf Mihaela van der Schaar joining panel on oncology at ASCO2023

Learning Representations without Compositional Assumptions

1 June 2023 by Andreas Bedorf

We introduce LEGATO, a hierarchical graph auto-encoder that learns a smaller, latent graph to dynamically aggregate information from multiple views.

Read moreLearning Representations without Compositional Assumptions

Revolutionising Pharmacological Predictions: How Synthetic Model Combination (SMC) Could Change the Game for Drug Development

24 May 2023 by Andreas Bedorf

SMC builds a new ensemble weighting existing models according to their likelihood to accurately represent a novel case. Based on our results, SMC is more robust and gives more accurate predictions than existing models.

Read moreRevolutionising Pharmacological Predictions: How Synthetic Model Combination (SMC) Could Change the Game for Drug Development

CCAIM at ICML 2023: 12 papers from our faculty

16 May 2023 by Andreas Bedorf

The CCAIM researchers will publish 12 papers at ICML 2023, the leading international academic conference in machine learning.

Read moreCCAIM at ICML 2023: 12 papers from our faculty

Staff

12 May 2023 by Andreas Bedorf

Research Engineers

Read moreStaff
12 May 2023 by Andreas Bedorf

Leadership Meet our directors, research engineers, and operational team You can find the Joint Steering Committee consisting of our academic and industrial leadership here.

Read more

AI Clinic 2023

5 May 2023 by Andreas Bedorf

This edition of the CCAIM AI Clinic will be held online in cooperation with the Revolutionizing Healthcare engagement program of the van der Schaar Lab Who is CCAIM? The Cambridge …

Read moreAI Clinic 2023

Affiliated clinicians

5 May 2023 by Andreas Bedorf

Affiliated clinical PhD Students Fellows in Clinical Artificial Intelligence

Read moreAffiliated clinicians

WeCREATE – 18 May

26 April 2023 by Evgeny Saveliev

We are excited to announce our next WeCREATE session for 18 May from 16:00 – 17:00 BST (other timezones here)! This time, we will talk about Responsible AI. Our session …

Read moreWeCREATE – 18 May

New cutting-edge software – made by CCAIM

26 April 2023 by Andreas Bedorf

We are thrilled to announce the release of our latest software packages, specifically designed to enhance your use of machine learning technology in a wide range of healthcare topics (e.g. …

Read moreNew cutting-edge software – made by CCAIM

AutoPrognosis

24 April 2023 by Andreas Bedorf

AutoPrognosis is an automated predictive modelling pipeline designed for clinical prognosis, leveraging state-of-the-art advances in automated machine learning to optimise ML pipelines, incorporate model explainability tools, and enable deployment of …

Read moreAutoPrognosis

TemporAI

24 April 2023 by Andreas Bedorf

TemporAI is a Machine Learning-centric time-series library tailored for medicine, focusing on time-series prediction, time-to-event analysis, and counterfactual inference for individualised treatment effects. How is it unique? TemporAI offers a …

Read moreTemporAI

HyperImpute

24 April 2023 by Andreas Bedorf

HyperImpute is a comprehensive library for handling missing data in your ML pipelines, simplifying the selection process of a data imputation algorithm and offering a range of novel algorithms compatible …

Read moreHyperImpute

Synthcity

24 April 2023 by Andreas Bedorf

Synthcity is an open-source synthetic data generation library that outperforms rivals (YData, Gretel, SDV, etc.) in terms of compatible use cases and data modalities, offering solutions for privacy, data scarcity, …

Read moreSynthcity

Interpretability Suite

24 April 2023 by Andreas Bedorf

A comprehensive collection of Machine Learning interpretability methods, offering users a reference to select the best-suited method for their needs, with a focus on providing insights into ML model predictions …

Read moreInterpretability Suite

Conference Season 2023: 20 papers from CCAIM accepted at AISTATS and ICLR

23 March 2023 by Andreas Bedorf

CCAIM Faculty members will present eight papers at the Artificial Intelligence and Statistics (AISTATS) conference, one of the most prominent annual gatherings of researchers at the intersection of artificial intelligence, machine …

Read moreConference Season 2023: 20 papers from CCAIM accepted at AISTATS and ICLR

External Validity of Machine Learning-based Prognostic Scores for Cystic Fibrosis – new publication

21 December 2022 by Andreas Bedorf

A paper recently accepted for publication by PLOS Digital Health explores machine-learning based prognostic scores and their validity when applied to demographically different patient cohorts: the ‘external validity’. The publication …

Read moreExternal Validity of Machine Learning-based Prognostic Scores for Cystic Fibrosis – new publication
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Recent Posts

  • Revolutionizing Healthcare: Gathering expertise: which AI skills should medical professionals learn?
  • The governance of artificial intelligence – CCAIM makes recommendations to government
  • CCAIM at ICML 2023: All you need to know
  • CCAIM 2.0 – an Invitation
  • Prof Mihaela van der Schaar writes for The Guardian about AI-powered personalised medicine

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