Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology
Replaying outcomes in the brain could predict whether we approach or avoid situations
A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine
Frontiers | Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors
Developing Surrogate Markers for Predicting Antibiotic Resistance “Hot Spots” in Rivers Where Limited Data Are Available | Environmental Science & Technology
Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma - ScienceDirect
Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association | Nature Communications
Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence | Nature Communications
Frontiers | Biomarkers in COVID-19: An Up-To-Date Review
Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes | Nature Communications
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences | Nature Biotechnology
Metabolomic profiles predict individual multidisease outcomes | Nature Medicine
Fast-forward breeding for a food-secure world: Trends in Genetics
Selecting predictive biomarkers from genomic data | PLOS ONE
Machine learning for real-time prediction of complications in critical care: a retrospective study - The Lancet Respiratory Medicine
Ten quick tips for biomarker discovery and validation analyses using machine learning | PLOS Computational Biology
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study - The Lancet Digital Health
Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19-ICU prospective observational cohort - eClinicalMedicine
CombiROC: an interactive web tool for selecting accurate marker combinations of omics data | Scientific Reports
Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity - ScienceDirect
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible | PLOS Digital Health
Enhanced bedside mortality prediction combining point-of-care lactate and the quick Sequential Organ Failure Assessment (qSOFA) score in patients hospitalised with suspected infection in southeast Asia: a cohort study - The Lancet Global
Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics | Analytical Chemistry
Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology | npj Precision Oncology
Combinatorial analysis reveals highly coordinated early-stage immune reactions that predict later antiviral immunity in mild COVID-19 patients - ScienceDirect
How to use biomarkers of infection or sepsis at the bedside: guide to clinicians | SpringerLink
