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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

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

Altered predictive control during memory suppression in PTSD | Nature  Communications
Altered predictive control during memory suppression in PTSD | Nature Communications

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

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

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

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
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

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

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

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

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous,  fair, and reproducible | PLOS Digital Health
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible | PLOS Digital Health

Identifying interpretable gene-biomarker associations with functionally  informed kernel-based tests in 190,000 exomes | Nature Communications
Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes | Nature Communications

Combined tumor and immune signals from genomes or transcriptomes predict  outcomes of checkpoint inhibition in melanoma - ScienceDirect
Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma - ScienceDirect

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

Fast-forward breeding for a food-secure world: Trends in Genetics
Fast-forward breeding for a food-secure world: Trends in Genetics

Life | Free Full-Text | Artificial Intelligence in Cancer Research: Trends,  Challenges and Future Directions
Life | Free Full-Text | Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions

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

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

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

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

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

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

Criteria-based curation of a therapy-focused compendium to support  treatment recommendations in precision oncology | npj Precision Oncology
Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology | npj Precision Oncology

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

Determining breast cancer biomarker status and associated morphological  features using deep learning | Communications Medicine
Determining breast cancer biomarker status and associated morphological features using deep learning | Communications 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
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study - The Lancet Digital Health