Selecting predictive biomarkers from genomic data | PLOS ONE
Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes | Nature Communications
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
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
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications | Environmental Science & Technology
Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology | npj Precision Oncology
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
JCM | Free Full-Text | Management of Hemorrhagic Shock: Physiology Approach, Timing and Strategies
How to use biomarkers of infection or sepsis at the bedside: guide to clinicians | SpringerLink
A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers - ScienceDirect
Metabolomic profiles predict individual multidisease outcomes | Nature Medicine
A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine
Life | Free Full-Text | Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions
Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association | Nature Communications
Frontiers | Biomarkers in COVID-19: An Up-To-Date Review
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
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units | Scientific Reports
Biosensors for Managing the COVID-19 Cytokine Storm: Challenges Ahead | ACS Sensors
Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity - ScienceDirect
Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma - ScienceDirect
Altered predictive control during memory suppression in PTSD | Nature Communications
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible | PLOS Digital Health
