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LifeTime and improving European healthcare through cell-based interceptive medicine
Nature ( IF 64.8 ) Pub Date : 2020-09-07 , DOI: 10.1038/s41586-020-2715-9
Nikolaus Rajewsky 1, 2, 3, 4 , Geneviève Almouzni 5 , Stanislaw A Gorski 1 , Stein Aerts 6, 7 , Ido Amit 8 , Michela G Bertero 9 , Christoph Bock 10, 11, 12 , Annelien L Bredenoord 13 , Giacomo Cavalli 14 , Susanna Chiocca 15 , Hans Clevers 16, 17, 18, 19 , Bart De Strooper 6, 20, 21 , Angelika Eggert 3, 22 , Jan Ellenberg 23 , Xosé M Fernández 24 , Marek Figlerowicz 25, 26 , Susan M Gasser 27, 28 , Norbert Hubner 2, 3, 4, 29 , Jørgen Kjems 30, 31 , Jürgen A Knoblich 32, 33 , Grietje Krabbe 1 , Peter Lichter 34 , Sten Linnarsson 35, 36 , Jean-Christophe Marine 37, 38 , John C Marioni 39, 40, 41 , Marc A Marti-Renom 9, 42, 43, 44 , Mihai G Netea 45, 46, 47 , Dörthe Nickel 24 , Marcelo Nollmann 48 , Halina R Novak 49 , Helen Parkinson 39 , Stefano Piccolo 50, 51 , Inês Pinheiro 5 , Ana Pombo 1, 52 , Christian Popp 1 , Wolf Reik 41, 53, 54 , Sergio Roman-Roman 55 , Philip Rosenstiel 56, 57 , Joachim L Schultze 47, 58, 59 , Oliver Stegle 39, 41, 60, 61 , Amos Tanay 62 , Giuseppe Testa 15, 63, 64 , Dimitris Thanos 65 , Fabian J Theis 66, 67 , Maria-Elena Torres-Padilla 68, 69 , Alfonso Valencia 44, 70 , Céline Vallot 55, 71 , Alexander van Oudenaarden 16, 17, 18 , Marie Vidal 1 , Thierry Voet 7, 41 ,
Affiliation  

Here we describe the LifeTime Initiative, which aims to track, understand and target human cells during the onset and progression of complex diseases, and to analyse their response to therapy at single-cell resolution. This mission will be implemented through the development, integration and application of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during the progression from health to disease. The analysis of large molecular and clinical datasets will identify molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. The timely detection and interception of disease embedded in an ethical and patient-centred vision will be achieved through interactions across academia, hospitals, patient associations, health data management systems and industry. The application of this strategy to key medical challenges in cancer, neurological and neuropsychiatric disorders, and infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade. The LifeTime initiative is an ambitious, multidisciplinary programme that aims to improve healthcare by tracking individual human cells during disease processes and responses to treatment in order to develop and implement cell-based interceptive medicine in Europe.

中文翻译:

LifeTime 和通过基于细胞的拦截医学改善欧洲医疗保健

在这里,我们描述了 LifeTime Initiative,该计划旨在在复杂疾病的发生和发展过程中跟踪、了解和靶向人类细胞,并以单细胞分辨率分析它们对治疗的反应。这一使命将通过在从健康到疾病的发展过程中开发、整合和应用单细胞多组学和成像、人工智能和患者衍生的实验疾病模型来实现。对大型分子和临床数据集的分析将确定分子机制,创建疾病进展的预测计算模型,并揭示新的药物靶点和疗法。将通过学术界、医院、患者协会、健康数据管理系统和行业。将该策略应用于癌症、神经和神经精神疾病以及传染性、慢性炎症和心血管疾病等关键医学挑战在单细胞水平上的应用将在未来十年内在欧洲迎来基于细胞的拦截医学。LifeTime 计划是一项雄心勃勃的多学科计划,旨在通过跟踪疾病过程中的单个人体细胞和对治疗的反应来改善医疗保健,以便在欧洲开发和实施基于细胞的拦截医学。未来十年,单细胞水平的慢性炎症和心血管疾病将在欧洲迎来基于细胞的拦截医学。LifeTime 计划是一项雄心勃勃的多学科计划,旨在通过跟踪疾病过程中的单个人体细胞和对治疗的反应来改善医疗保健,以便在欧洲开发和实施基于细胞的拦截医学。未来十年,单细胞水平的慢性炎症和心血管疾病将在欧洲迎来基于细胞的拦截医学。LifeTime 计划是一项雄心勃勃的多学科计划,旨在通过跟踪疾病过程中的单个人体细胞和对治疗的反应来改善医疗保健,以便在欧洲开发和实施基于细胞的拦截医学。
更新日期:2020-09-07
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