![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](https://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs12931-019-1152-5/MediaObjects/12931_2019_1152_Fig2_HTML.png)
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text
![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](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-022-32864-2/MediaObjects/41467_2022_32864_Fig1_HTML.png)
Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes | 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](https://www.embopress.org/cms/asset/4b33edf1-d09d-45e4-957e-fc4d07d90d35/msb199005-fig-0002-m.jpg)
Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology
![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](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41698-021-00194-z/MediaObjects/41698_2021_194_Fig1_HTML.png)
Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology | npj Precision Oncology
![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](https://www.ahajournals.org/cms/asset/14fc398c-3d49-4e8a-9f30-6394cde01b84/164ga1.jpg)
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
![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](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs43856-021-00013-3/MediaObjects/43856_2021_13_Fig1_HTML.png)
Determining breast cancer biomarker status and associated morphological features using deep learning | Communications 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](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41598-021-96072-6/MediaObjects/41598_2021_96072_Fig1_HTML.png)
A machine learning approach to identify predictive molecular markers for cisplatin chemosensitivity following surgical resection in ovarian cancer | Scientific Reports
![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](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fsrep45477/MediaObjects/41598_2017_Article_BFsrep45477_Fig1_HTML.jpg)
CombiROC: an interactive web tool for selecting accurate marker combinations of omics data | Scientific Reports
![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](https://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs12931-019-1152-5/MediaObjects/12931_2019_1152_Fig3_HTML.png)
Critical combination of initial markers for predicting refractory Mycoplasma pneumoniae pneumonia in children: a case control study | Respiratory Research | Full Text
![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](https://ars.els-cdn.com/content/image/1-s2.0-S2666379121003773-fx1.jpg)
Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma - ScienceDirect
![Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association | Nature Communications Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-27651-4/MediaObjects/41467_2021_27651_Fig1_HTML.png)
Prediction of biomarkers and therapeutic combinations for anti-PD-1 immunotherapy using the global gene network association | Nature Communications
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 Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-020-79843-5/MediaObjects/41598_2020_79843_Fig1_HTML.png)
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units | 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](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fnbt.2676/MediaObjects/41587_2013_Article_BFnbt2676_Fig1_HTML.jpg)
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences | Nature Biotechnology
Ten quick tips for biomarker discovery and validation analyses using machine learning | PLOS Computational Biology
![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](https://ars.els-cdn.com/content/image/1-s2.0-S2589004221014942-fx1.jpg)
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
![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](https://pub.mdpi-res.com/life/life-12-01991/article_deploy/html/images/life-12-01991-g001.png?1670295205)
Life | Free Full-Text | Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions
![Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence | Nature Communications Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-022-35454-4/MediaObjects/41467_2022_35454_Fig1_HTML.png)