TY - JOUR
T1 - LifeTime and improving European healthcare through cell-based interceptive medicine
AU - Rajewsky, Nikolaus
AU - Almouzni, Geneviève
AU - Amit, Ido
AU - Tanay, Amos
AU - Reiner, Orly
N1 - We would like to acknowledge all participants that have attended and contributed to LifeTime meetings and workshops through many exciting presentations and discussions. We thank Johannes Richers for artwork. LifeTime has received funding from the European Unionʼs Horizon 2020 research and innovation framework programme under Grant agreement 820431. Author contributions - All authors contributed to the writing of the article and provided comments and feedback. They all approved submission of the article for publication
PY - 2020/9/7
Y1 - 2020/9/7
N2 - LifeTime aims to track, understand and target human cells during the onset and progression of complex diseases and their response to therapy at single-cell resolution. This mission will be implemented through the development and integration of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during progression from health to disease. Analysis of such large molecular and clinical datasets will discover molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. Timely detection and interception of disease embedded in an ethical and patient-centered vision will be achieved through interactions across academia, hospitals, patient-associations, health data management systems and industry. Applying this strategy to key medical challenges in cancer, neurological, infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
AB - LifeTime aims to track, understand and target human cells during the onset and progression of complex diseases and their response to therapy at single-cell resolution. This mission will be implemented through the development and integration of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during progression from health to disease. Analysis of such large molecular and clinical datasets will discover molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. Timely detection and interception of disease embedded in an ethical and patient-centered vision will be achieved through interactions across academia, hospitals, patient-associations, health data management systems and industry. Applying this strategy to key medical challenges in cancer, neurological, infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
UR - http://www.scopus.com/inward/record.url?scp=85090311429&partnerID=8YFLogxK
U2 - 10.1038/s41586-020-2715-9
DO - 10.1038/s41586-020-2715-9
M3 - مقالة
SN - 0028-0836
VL - 587
SP - 377
EP - 386
JO - Nature
JF - Nature
IS - 7834
ER -