ΑΙhub.org

Focus on good health and well-being


A deep learning model for identifying disease and risk factor biomarkers

A data-driven deep learning biomarker discovery workflow.
30 October 2023, by

AI in health care challenges us to define what better, people-centred care looks like

Catherine Burns on thinking about future healthcare in the age of big data and AI.
24 April 2023, by

Applying AI to pathology reveals insights in endometrial cancer diagnostics

Interpretable deep learning model to predict the molecular classification of endometrial cancer from slide images.
19 January 2023, by

AI can help doctors work faster – but trust is crucial

If artificial intelligence is to be of help in healthcare, people and machines must be able to work effectively together.
11 March 2022, by

Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

Find out how Cambridge researchers are using deep-learning to assist pathologists.
10 May 2021, by

Machine learning helps in the search for new antibiotics

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.
29 March 2021, by



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

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...
16 February 2021, by

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

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 ...
11 February 2021, by

#AAAI2021 invited talk – Regina Barzilay on deploying machine learning methods in cancer diagnosis and drug design

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...
09 February 2021, by

Deep learning microscope for rapid tissue imaging

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...
04 February 2021, by

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

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...
26 January 2021, by

Webinar on “Macro dynamics predictions in COVID-19 crisis, explained by micro intentions”

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...
22 January 2021, by

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

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...
14 January 2021, by

High-performance computing and AI team up for COVID-19 diagnostic imaging

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...
12 January 2021, by

Computer vision app allows easier monitoring of glucose levels

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...
06 January 2021, by

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

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 ...
29 December 2020, by

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

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...
16 December 2020, by

AIhub launches focus series on good health and well-being

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...
16 December 2020, by

Focus on good health and well-being: call for contributions

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 ...
26 November 2020, by






AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association