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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2019–2023

HELICAL · HEalth data LInkage for ClinicAL benefit

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2019-01-01 → 2023-06-30
Финансиране от ЕС
4 050 338 €
Участници
25
Схема
MSCA-ITN

Линиите свързват координатора с партньорите.

Накратко на български

Здравната информатика и изкуственият интелект се прилагат върху данни за автоимунни васкулити, за да се открият нови биологични зависимости. Обучението на специалисти в тази област помага за персонализирането на лечението и по-доброто управление на етичните рискове при работа с данни.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

HEalth data LInkage for ClinicAL benefit

The overall goal of HELICAL is to establish a European training network to prepare the next generation of Health Informatics Researchers. Advances in information science and artificial intelligence provide unprecedented opportunities for using these datasets to study the complex biology of these disorders, how this is influenced by environmental triggers, and to personalise their management. Currently, exploitation of these opportunities is severely limited by the shortage of researchers with the required informatics skills, knowledge of requisite data protection and stewardship principles, and understanding of the clinical context. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary training programme that builds on the expertise and existing collaborations of its partners. It uses autoimmune vasculitis as a paradigm because it is scalable, the analysis of different forms will allow the influence of age and gender to be assessed, and comprehensive biological and clinical datasets are already available. The HELICAL training programme focuses on three complementary objectives: 1. application of informatics to such datasets to gain new biological insights 2. translation of biological into practical clinical outputs 3. identification of the novel ethical constraints imposed on such studies and development of strategies to manage them. The programme was delivered through a multidisciplinary and trans-sectoral partnership of world-leading researchers from Academia and Industry with expertise in biomedical research, epidemiology, statistics, machine learning, health data governance and ethics.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

European researchers have made leading contributions to the large genomic, transcriptomic and clinical datasets from patients with chronic diseases. Advances in information science provide unprecedented opportunities for using these datasets to elucidate the complex biology of these disorders, its influence by environmental triggers, and to personalise their management. Currently, exploitation of these opportunities is limited by a shortage of researchers with the required informatics skills and knowledge of requisite data protection principles. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary training programme that builds on the expertise and existing collaborations of its partners. It provides 15 early stage researchers with training in analysis of large datasets, using autoimmune vasculitis as a paradigm as it is scalable, and as comprehensive biological and clinical datasets are already available. The HELICAL training program focuses on three complementary areas: application of informatics to such datasets to gain new biological insights; translation of these into practical clinical outputs and management of ethical constraints imposed on such studies. The programme will be delivered through a multidisciplinary, trans-sectoral partnership of Academic and Industry researchers with expertise in basic biomedical research, epidemiology, statistics, machine learning, health data governance and ethics. Therefore, HELICAL exploits recent advances in data science to link research datasets with longitudinal healthcare records, based on the robust ethical foundation required for linkage studies using near-patient data, to address key experimental questions. The results will have obvious potential for transforming healthcare in the field of autoimmune disease. The training provided addresses a key skills gap in the European workforce and should make the ESR eminently employable in academic, industrial and clinical sectors.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз