Home

Nakrm se pochybovat inteligence critical combination of initial markers for predicting Souhlasím s Ochranná známka hrát si

CombiROC: an interactive web tool for selecting accurate marker combinations  of omics data | Scientific Reports
CombiROC: an interactive web tool for selecting accurate marker combinations of omics data | Scientific Reports

Predictive functional profiling of microbial communities using 16S rRNA  marker gene sequences | Nature Biotechnology
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences | Nature Biotechnology

Critical combination of initial markers for predicting refractory  Mycoplasma pneumoniae pneumonia in children: a case control study |  Respiratory Research | Full Text
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text

Ten quick tips for biomarker discovery and validation analyses using  machine learning | PLOS Computational Biology
Ten quick tips for biomarker discovery and validation analyses using machine learning | PLOS Computational Biology

Replaying outcomes in the brain could predict whether we approach or avoid  situations
Replaying outcomes in the brain could predict whether we approach or avoid situations

A deep learning approach for predicting severity of COVID-19 patients using  a parsimonious set of laboratory markers - ScienceDirect
A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers - ScienceDirect

Retip: Retention Time Prediction for Compound Annotation in Untargeted  Metabolomics | Analytical Chemistry
Retip: Retention Time Prediction for Compound Annotation in Untargeted Metabolomics | Analytical Chemistry

Machine learning for real-time prediction of complications in critical  care: a retrospective study - The Lancet Respiratory Medicine
Machine learning for real-time prediction of complications in critical care: a retrospective study - The Lancet Respiratory Medicine

A machine learning approach to identify predictive molecular markers for  cisplatin chemosensitivity following surgical resection in ovarian cancer |  Scientific Reports
A machine learning approach to identify predictive molecular markers for cisplatin chemosensitivity following surgical resection in ovarian cancer | Scientific Reports

JCM | Free Full-Text | Management of Hemorrhagic Shock: Physiology  Approach, Timing and Strategies
JCM | Free Full-Text | Management of Hemorrhagic Shock: Physiology Approach, Timing and Strategies

Artificial Intelligence-Based Toxicity Prediction of Environmental  Chemicals: Future Directions for Chemical Management Applications |  Environmental Science & Technology
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications | Environmental Science & Technology

Metabolomic profiles predict individual multidisease outcomes | Nature  Medicine
Metabolomic profiles predict individual multidisease outcomes | Nature Medicine

How to use biomarkers of infection or sepsis at the bedside: guide to  clinicians | SpringerLink
How to use biomarkers of infection or sepsis at the bedside: guide to clinicians | SpringerLink

Developing Surrogate Markers for Predicting Antibiotic Resistance “Hot  Spots” in Rivers Where Limited Data Are Available | Environmental Science &  Technology
Developing Surrogate Markers for Predicting Antibiotic Resistance “Hot Spots” in Rivers Where Limited Data Are Available | Environmental Science & Technology

Mortality prediction using a novel combination of biomarkers in the first  day of sepsis in intensive care units | Scientific Reports
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units | Scientific Reports

Selecting predictive biomarkers from genomic data | PLOS ONE
Selecting predictive biomarkers from genomic data | PLOS ONE

Frontiers | Biomarkers in COVID-19: An Up-To-Date Review
Frontiers | Biomarkers in COVID-19: An Up-To-Date Review

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
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
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text

Frontiers | Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux  Between Viral and Host Factors
Frontiers | Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors

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
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

Community assessment to advance computational prediction of cancer drug  combinations in a pharmacogenomic screen | Nature Communications
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen | Nature Communications

Combinatorial prediction of marker panels from single‐cell transcriptomic  data | Molecular Systems Biology
Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology