ArticleNature2020
LifeTime and improving European healthcare through cell-based interceptive medicine.
Article in Nature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 82 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
82 citing papers in PubMed, 169 citations in OpenAlex.
- OpenDVP: an experimental and computational framework for community-empowered deep visual proteomics.Nature methods · 2026Article
- RAGCell: retrieval-augmented generation as supervision for versatile single-cell analysis.Bioinformatics (Oxford, England) · 2026Article
- Multi-platform integration of brain and CSF proteomes reveals biomarker panels for Alzheimer's disease.Briefings in bioinformatics · 2026Article
- ScRDAVis: An R shiny application for single-cell transcriptome data analysis and visualization.PLoS computational biology · 2025Article
- Characterization of human CMV-specific CD8Cell reports methods · 2025Article
- Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease.Nature communications · 2025Article
- Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease.bioRxiv : the preprint server for biology · 2025Article
- Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology.International journal of molecular sciences · 2025Review
- Multiplexing cortical brain organoids for the longitudinal dissection of developmental traits at single-cell resolution.Nature methods · 2025Article
- Liquid biopsy in cancer management: Integrating diagnostics and clinical applications.Practical laboratory medicine · 2025Review
- How to build the virtual cell with artificial intelligence: Priorities and opportunities.Cell · 2024Article
- π-HuB: the proteomic navigator of the human body.Nature · 2024Review
- A mini-review on perturbation modelling across single-cell omic modalities.Computational and structural biotechnology journal · 2024Review
- How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.ArXiv · 2024Article
- StaVia: spatially and temporally aware cartography with higher-order random walks for cell atlases.Genome biology · 2024Article
- Towards a Treatment for Leukodystrophy Using Cell-Based Interception and Precision Medicine.Biomolecules · 2024Review
- Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis.Genome biology · 2024Article
- Mitochondrial genetics through the lens of single-cell multi-omics.Nature genetics · 2024Review
- A new atlas to study embryonic cell types in Xenopus.Developmental biology · 2024Article
- DOT: a flexible multi-objective optimization framework for transferring features across single-cell and spatial omics.Nature communications · 2024Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
51 authors at 20 institutions in 19 countries.
Funding
Abstract
Here we describe the LifeTime Initiative, which aims to track, understand and target human cells during the onset and progression of complex diseases, and to analyse their response to therapy at single-cell resolution. This mission will be implemented through the development, integration and application of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during the progression from health to disease. The analysis of large molecular and clinical datasets will identify molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. The timely detection and interception of disease embedded in an ethical and patient-centred vision will be achieved through interactions across academia, hospitals, patient associations, health data management systems and industry. The application of this strategy to key medical challenges in cancer, neurological and neuropsychiatric disorders, and infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.