Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity - ScienceDirect
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen | Nature Communications
Ten quick tips for biomarker discovery and validation analyses using machine learning | PLOS Computational Biology
A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine
Machine learning for real-time prediction of complications in critical care: a retrospective study - The Lancet Respiratory Medicine
Selecting predictive biomarkers from genomic data | PLOS ONE
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences | Nature Biotechnology
JCM | Free Full-Text | Management of Hemorrhagic Shock: Physiology Approach, Timing and Strategies
Determining breast cancer biomarker status and associated morphological features using deep learning | Communications Medicine
Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications | Environmental Science & Technology
A machine learning approach to identify predictive molecular markers for cisplatin chemosensitivity following surgical resection in ovarian cancer | Scientific Reports
Fast-forward breeding for a food-secure world: Trends in Genetics
Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics | Analytical Chemistry
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study - The Lancet Digital Health
Frontiers | Biomarkers in COVID-19: An Up-To-Date Review
Short-Term Prediction of Adverse Outcomes Using the sFlt-1 (Soluble fms-Like Tyrosine Kinase 1)/PlGF (Placental Growth Factor) Ratio in Asian Women With Suspected Preeclampsia | Hypertension
Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence | Nature Communications
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
How to use biomarkers of infection or sepsis at the bedside: guide to clinicians | SpringerLink
Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma - ScienceDirect
