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Focus on good health and well-being
AI in cancer research & care: perspectives of three KU Leuven institutes
This story is a collaboration of three Institutes that are working at the intersection of cell research, cancer research and care, and artificial intelligence.
A deep learning model for identifying disease and risk factor biomarkers
Linköping University
30 Oct 2023
A data-driven deep learning biomarker discovery workflow.
AI in health care challenges us to define what better, people-centred care looks like
University of Waterloo
24 Apr 2023
Catherine Burns on thinking about future healthcare in the age of big data and AI.
Applying AI to pathology reveals insights in endometrial cancer diagnostics
Universiteit Leiden
19 Jan 2023
Interpretable deep learning model to predict the molecular classification of endometrial cancer from slide images.
AI can help doctors work faster – but trust is crucial
Linköping University
11 Mar 2022
If artificial intelligence is to be of help in healthcare, people and machines must be able to work effectively together.
Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer
University of Cambridge
10 May 2021
Find out how Cambridge researchers are using deep-learning to assist pathologists.
Machine learning helps in the search for new antibiotics
Universiteit Leiden
29 Mar 2021
Research identifies new types of clusters of genes in the DNA code that could possibly code for 'precursors' that will later become proteins with antibiotic effects.
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Ricardo Chavarriaga
Ricardo Chavarriaga tells us about his role in the CLAIRE COVID taskforce.
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Marco Aldinucci
Learn more about the image analysis topic group in the CLAIRE COVID-19 Initiative.
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Manlio De Domenico
In interview number six in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Manlio De Domenico, Head of the Complex Multilayer Networks Lab, Fondazione Bruno Kess...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Marco Maratea
In interview number five in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Marco Maratea, Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei ...
Researchers use deep learning to identify gene regulation at single-cell level
University of California, Irvine
16 Feb 2021
Clustering performance comparison when different thresholds and parameters are changed. Figure taken from Predicting transcription factor binding in single cells through deep learning, published under...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Jose Sousa
In the next interview in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Jose Sousa, Faculty of Medicine, Health and Life Sciences, Queen’s University Belfast....
Good health and well-being: summarising AI and robotics in healthcare – diagnostics, personalised care, drug discovery, and more
Lucy Smith
11 Feb 2021
In December 2020 we announced the launch of our focus series AI for Good: UN sustainable development goals (SDGs). Each month we pick a different sustainable development goal (SDG) and highlight work ...
#AAAI2021 invited talk – Regina Barzilay on deploying machine learning methods in cancer diagnosis and drug design
Lucy Smith
09 Feb 2021
In September 2020, Regina Barzilay was announced as the winner of the inaugural AAAI Squirrel AI award. Regina was formally presented with the prize during an award ceremony at the AAAI2021 conference...
Deep learning microscope for rapid tissue imaging
Rice University
04 Feb 2021
Rice University engineering researchers Yubo Tang (left) and Mary Jin are members of a team that used deep learning to optimize both image collection and image post-processing in a new type of microsc...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Ann Nowé
In the third interview in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Ann Nowé, Vrije Universiteit Brussel (VUB), Belgium....
Using AI-enhanced music-supported therapy to assist stroke patients
Josep Lluís Arcos
26 Jan 2021
Stroke currently ranks as the second most common cause of death and the second most common cause of disability worldwide. Motor deficits of the upper extremity (hemiparesis) are the most common and de...
Webinar on “Macro dynamics predictions in COVID-19 crisis, explained by micro intentions”
Hans De Canck
22 Jan 2021
On 3 June 2020, the VUB AI Experience Centre published a webinar on the topic of the role of AI in the COVID-19 crisis, focused on macro dynamics predictions in the COVID-19 crisis, explained by micro...
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Davide Bacciu
In the second interview in this series of Meet the Team Leaders from the CLAIRE COVID-19 Initiative, we hear from Davide Bacciu (Università di Pisa)....
CLAIRE COVID-19 Initiative Video Series: Meet the Team Leaders – Emanuela Girardi
By Anna Tahovská
CLAIRE, the Confederation of Laboratories for AI Research in Europe, launched its COVID-19 Initiative in March 2020 as the first wave of the pandemic hit the continent. Its object...
Interview with Guillem Alenyà – discussing assistive robotics, human-robot interaction, and more
AIhub
14 Jan 2021
Guillem Alenyà is Director of the Institut de Robòtica i Informàtica Industrial, CSIC-UPC, in Barcelona. His research activities include assistive robotics, robot adaptation, human-robot interactio...
High-performance computing and AI team up for COVID-19 diagnostic imaging
Marco Aldinucci
12 Jan 2021
The Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) taskforce on AI & COVID-19 supported the creation of a research group focused on AI-assisted diagnosis of COVI...
Computer vision app allows easier monitoring of glucose levels
University of Cambridge
06 Jan 2021
Reading diabetes monitor. Credit: James Charles
A computer vision technology developed by University of Cambridge engineers has now been integrated into a free mobile phone app for regular monitori...
CLAIRE COVID-19 taskforce webinar
By Joyce Anne Quinto
As part of its second anniversary activities, CLAIRE hosted a webinar presenting the progress and future plans of its COVID-19 taskforce. Entitled, “CLAIRE taskforce for AI a...
Prediction of drug metabolites using deep learning
Rice University
29 Dec 2020
A computational tool created at Rice University may help pharmaceutical companies expand their ability to investigate the safety of drugs. (Credit: Kavraki Lab/Rice University)
By Mike Williams
...
The CLAIRE COVID-19 Initiative: a bottom-up effort from the European AI community
Figure 1: CLAIRE COVID-19 Initiative, topic groups and main outcomes
By Gianluca Bontempi, Ricardo Chavarriaga, Hans de Canck, Emanuela Girardi, Holger Hoos and Iarla Kilbane-Dawe
CLAIRE, the Co...
Opportunities for machine learning use in cystic fibrosis care
University of Cambridge
16 Dec 2020
Blue and Brown Anatomical Lung Wall Decor. Credit: Hey Paul Studios.
Accurately predicting how an individual’s chronic illness is going to progress is critical to delivering better-personalised, pr...
AIhub launches focus series on good health and well-being
Lucy Smith
16 Dec 2020
We are delighted to announce the launch of our focus series on AI for Good: UN sustainable development goals (SDGs). Each month we will pick a different sustainable development goal (SDG) and highligh...
Focus on good health and well-being: call for contributions
Lucy Smith
26 Nov 2020
We are excited to announce that next month we will launching the AIhub focus issue on “AI for Good”, which will specifically concentrate on the UN Sustainable Development Goals (SDGs). Each month ...
