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Item Type: | Article |
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Title: | LifeTime and improving European healthcare through cell-based interceptive medicine |
Creators Name: | Rajewsky, N., Almouzni, G., Gorski, S.A., Aerts, S., Amit, I., Bertero, M.G., Bock, C., Bredenoord, A.L., Cavalli, G., Chiocca, S., Clevers, H., De Strooper, B., Eggert, A., Ellenberg, J., Fernández, X.M., Figlerowicz, M., Gasser, S.M., Hubner, N., Kjems, J., Knoblich, J.A., Krabbe, G., Lichter, P., Linnarsson, S., Marine, J.C., Marioni, J., Marti-Renom, M.A., Netea, M.G., Nickel, D., Nollmann, M., Novak, H.R., Parkinson, H., Piccolo, S., Pinheiro, I., Pombo, A., Popp, C., Reik, W., Roman-Roman, S., Rosenstiel, P., Schultze, J.L., Stegle, O., Tanay, A., Testa, G., Thanos, D., Theis, F.J., Torres-Padilla, M.E., Valencia, A., Vallot, C., van Oudenaarden, A., Vidal, M. and Voet, T. |
Abstract: | 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. |
Keywords: | Artificial Intelligence, Cell- and Tissue-Based Therapy, Delivery of Health Care, Early Diagnosis, Europe, Health, Medical Education, Medical Legislation, Medicine, Pathology, Single-Cell Analysis |
Source: | Nature |
ISSN: | 0028-0836 |
Publisher: | Nature Publishing Group |
Volume: | 587 |
Number: | 7834 |
Page Range: | 377-386 |
Date: | 19 November 2020 |
Additional Information: | Stefan Kempa, Jan Philipp Junker and Henrike Maatz are members of the LifeTime Community Working Groups. Erratum in: Nature 592(7852):e8. |
Official Publication: | https://doi.org/10.1038/s41586-020-2715-9 |
PubMed: | View item in PubMed |
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