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Monitoring mentAl healTh in brEast canceR

Project description

Pioneering mental health monitoring for breast cancer patients

Breast cancer takes an emotional toll beyond the physical battle. With one in three women facing mental health challenges alongside their diagnosis, quality of life deteriorates further. With the support of the Marie Skłodowska-Curie Actions programme, the EU-funded MATER project brings together symptom networks and vocal biomarkers to revolutionise mental health detection and monitoring in breast cancer patients. The project explores whether symptom networks illuminate the intricate connections between depression, fatigue, and reduced quality of life. It also examines how vocal biomarkers can be harvested from real-life recordings to streamline symptom monitoring from the comfort of patients’ homes. Driven by digital health knowledge and vocal biomarkers, MATER promises not only improved patient well-being but also a profound leap in research.

Objective

One over three women with breast cancer will develop mental health issues, adding the burden of a deterioration of their quality of life to the management of cancer itself.

The objective of the MATER project is to improve the detection and monitoring of mental health in women with breast cancer by leveraging symptom networks and vocal biomarkers. The project addresses three research questions. We first hypothesize that the use of symptom networks will allow a better understanding of the links between depressive symptoms, fatigue and a decreased quality of life, and identify the most important symptoms in the deterioration of the mental health of these women.
We also assume that automatically estimating these symptoms using voice descriptors extracted from real-life recordings and machine learning pipelines will make it easier to monitor them in the patients' homes. Finally, we hypothesize that the use of a Bayesian network algorithm combining the symptom network and the voice-based symptom estimations will allow a more accurate joint estimation of these symptoms - and thus improve the identification and monitoring of mental health-related symptoms in women with breast cancer.

The interdisciplinary MATER project is based on Colive Voice, a unique dataset of clinical and voice data and leverages both the complementary host's and supervisor's extensive experience in digital and personalized health and the applicant's knowledge of vocal biomarker design and machine learning, mental disorder semiology, and Bayesian networks. This project will allow the applicant to improve his skills in voice signal processing, precision health (in particular in oncology), but also in scientific project management and in research valorization, creating an international network and elevating his profile to such levels as to accelerate his access to high-level academic positions.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

LUXEMBOURG INSTITUTE OF HEALTH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 175 920,00
Address
1A RUE RUE THOMAS EDISON
1445 Strassen
Luxembourg

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Luxembourg Luxembourg Luxembourg
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Research Organisations
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Total cost

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