Ten quick tips for biomarker discovery and validation analyses using machine learning | PLOS Computational Biology
Frontiers | Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors
Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma - ScienceDirect
Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology
Metabolomic profiles predict individual multidisease outcomes | Nature Medicine
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study - The Lancet Digital Health
Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association | Nature Communications
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text
Frontiers | Biomarkers in COVID-19: An Up-To-Date Review
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units | Scientific Reports
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
JCM | Free Full-Text | Management of Hemorrhagic Shock: Physiology Approach, Timing and Strategies
Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence | Nature Communications
Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics | Analytical Chemistry
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible | PLOS Digital Health
Life | Free Full-Text | Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions
A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text
Machine learning for real-time prediction of complications in critical care: a retrospective study - The Lancet Respiratory Medicine
Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity - ScienceDirect
A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers - ScienceDirect
Developing Surrogate Markers for Predicting Antibiotic Resistance “Hot Spots” in Rivers Where Limited Data Are Available | Environmental Science & Technology
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences | Nature Biotechnology
Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology | npj Precision Oncology
