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Measuring biological age using omics data
Molecular measures of biological ageing based on high-throughput omics technologies are enabling the quantitative characterization of ageing. The authors review how epigenomic, transcriptomic, proteomic, metabolomic and other omics data can be harnessed using machine learning to build ‘ageing clocks’.
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Coronavirus
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EMBO Practical Course: The fundamentals of high-end cell sorting
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EMBO Practical Course: Metabolite and species dynamics in microbial communities
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4th Growth Factors in Regeneration and Regenerative Medicine Conference
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EMBO Practical Course: Synthetic biology in action: beyond standard metabolism
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Respiratory Viruses: New Frontiers
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Call for Human Technopole Director
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Research Fellowships (at the PhD and Postdoc level) for young rising stars
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65449: Physicist, mathematician, computer scientist or engineer or similar with a specialization in the field of AI and quantum computing or quantum machine learning (f/m/x) - Safety and Security by Design
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IBPT 02-2022 Master thesis: Multiobjective Bayesian optimization of the KARA injection process