id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-350408-rqlkwoya	Rajewsky, Nikolaus	LifeTime and improving European healthcare through cell-based interceptive medicine	2020-09-07		.txt	text/plain	8067	316	29	Central to LifeTime's vision and approach is the development and integration of new technologies, such as single-cell multi-omics, high-content imaging, artificial intelligence (AI) and patient-derived experimental disease models. Handling these large molecular datasets will require sophisticated and distributed computational and bioinformatics infrastructures (see 'Implementation and infrastructure'), as well as the development of tools to integrate and ensure the interoperability of different data types, including single-cell multi-omics, medical information and electronic health records. The LifeTime disease roadmaps can be divided broadly into three phases 7 : first, immediate research into the identified medical challenges using established, scaled single-cell technologies, computational tools and disease models; second, the development of new technologies that are required to address specific medical challenges, including the development of spatial multi-omics and imaging approaches and advanced patient-derived model systems for longitudinal analyses; and finally, the application of these next-generation technologies to the longitudinal analyses of patient samples, or patient-derived models, combined with machine learning to generate patient trajectories and predictive models of disease.	./cache/cord-350408-rqlkwoya.txt	./txt/cord-350408-rqlkwoya.txt