Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics | Analytical Chemistry
Ten quick tips for biomarker discovery and validation analyses using machine learning | PLOS Computational Biology
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
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text
A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers - ScienceDirect
Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology
A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine
Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association | Nature Communications
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study - The Lancet Digital Health
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen | Nature Communications
Metabolomic profiles predict individual multidisease outcomes | Nature Medicine
JCM | Free Full-Text | Management of Hemorrhagic Shock: Physiology Approach, Timing and Strategies
Frontiers | Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors
Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes | Nature Communications
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
CombiROC: an interactive web tool for selecting accurate marker combinations of omics data | Scientific Reports
Biosensors for Managing the COVID-19 Cytokine Storm: Challenges Ahead | ACS Sensors
Fast-forward breeding for a food-secure world: Trends in Genetics
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
Developing Surrogate Markers for Predicting Antibiotic Resistance “Hot Spots” in Rivers Where Limited Data Are Available | Environmental Science & Technology
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible | PLOS Digital Health
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units | Scientific Reports
Replaying outcomes in the brain could predict whether we approach or avoid situations
A machine learning approach to identify predictive molecular markers for cisplatin chemosensitivity following surgical resection in ovarian cancer | Scientific Reports
Altered predictive control during memory suppression in PTSD | Nature Communications
