TY - JOUR
T1 - LifeTime and improving European healthcare through cell-based interceptive medicine
AU - LifeTime Community
AU - Rajewsky, Nikolaus
AU - Almouzni, Geneviève
AU - Gorski, Stanislaw A.
AU - Aerts, Stein
AU - Amit, Ido
AU - Bertero, Michela G.
AU - Bock, Christoph
AU - Bredenoord, Annelien L.
AU - Cavalli, Giacomo
AU - Chiocca, Susanna
AU - Clevers, Hans
AU - De Strooper, Bart
AU - Eggert, Angelika
AU - Ellenberg, Jan
AU - Fernández, Xosé M.
AU - Figlerowicz, Marek
AU - Gasser, Susan M.
AU - Hubner, Norbert
AU - Kjems, Jørgen
AU - Knoblich, Jürgen A.
AU - Krabbe, Grietje
AU - Lichter, Peter
AU - Linnarsson, Sten
AU - Marine, Jean Christophe
AU - Marioni, John
AU - Marti-Renom, Marc A.
AU - Netea, Mihai G.
AU - Nickel, Dörthe
AU - Nollmann, Marcelo
AU - Novak, Halina R.
AU - Parkinson, Helen
AU - Piccolo, Stefano
AU - Pinheiro, Inês
AU - Pombo, Ana
AU - Popp, Christian
AU - Reik, Wolf
AU - Roman-Roman, Sergio
AU - Rosenstiel, Philip
AU - Schultze, Joachim L.
AU - Stegle, Oliver
AU - Tanay, Amos
AU - Testa, Giuseppe
AU - Thanos, Dimitris
AU - Theis, Fabian J.
AU - Torres-Padilla, Maria Elena
AU - Valencia, Alfonso
AU - Vallot, Céline
AU - van Oudenaarden, Alexander
AU - Klein, Christine
AU - Seibler, Philip
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 - Journal articles
AN - SCOPUS:85090311429
SN - 0028-0836
JO - Nature
JF - Nature
ER -