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An Interdisciplinary Approach for the Management of the Elderly Multimorbid Patient with Breast Cancer Therapy Induced Cardiac Toxicity

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CARDIOCARE Symposium in IPOS 2023

CARDIOCARE Symposium in IPOS 2023

The CARDIOCARE consortium is organizing a Symposium with the title "An interdisciplinary ecosystem for the psychosocial and behavioral management of Cardiotoxicity in elderly breast cancer patient: the CARDIOCARE project" within the IPOS 2023 Conference in Milan and...

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CARDIOCARE in EMBC 2023

CARDIOCARE in EMBC 2023

CARDIOCARE participated in the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023) that was held on July, 24-27 2023 in Sydney, Australia. The abstract "CARDIOCARE: an integrated platform for the management of...

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Paper by HMU accepted in EMBC 2023

Paper by HMU accepted in EMBC 2023

A paper, prepared by the HMU team, entitled “A Full Transformer-based Framework for Automatic Pain Estimation using Videos" was accepted in EMBC 2023 that will be held in Syndey Australia, in July 2023. Really glad to participate with one more paper!  

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Papers accepted in EMBC 2023

Papers accepted in EMBC 2023

Two papers, prepared by the UOI team, entitled “CARDIOCARE: An integrated platform for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity” and "Risk Stratification for Cardiotoxicity in Breast Cancer Patients: Predicting...

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CARDIOCARE at the ESC Spring Summit 2023

CARDIOCARE at the ESC Spring Summit 2023

CARDIOCARE and specifically the latest developments on the management of the elderly multimorbid patient with breast cancer therapy induced cardiac toxicity was presented at the ESC Spring Summit 2023. Really glad to have participated!

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Paper accepted in ISBI 2023

Paper accepted in ISBI 2023

Our paper entitled "Automated Left Ventricular Ejection Fraction Measurement in 2D Echocardiography using Deep Learning-based Segmentation" was accepted in ISBI 2023 that will be held in Colombia, in April 2023. Really glad to participate!

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New review paper on automatic pain assessment

New review paper on automatic pain assessment

Our review entitled "Automatic assessment of pain based on deep learning methods: A systematic review" has been published in Computer Methods and Programs in Biomedicine journal. The models, the methods, and the types of data employed in establishing the foundation of...

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