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| Open AccessSurvival Genie, a web platform for survival analysis across pediatric and adult cancers
- Bhakti Dwivedi
- , Hope Mumme
- & Manoj Bhasin
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| Open AccessEarly heart rate variability evaluation enables to predict ICU patients’ outcome
- Laetitia Bodenes
- , Quang-Thang N’Guyen
- & Erwan L’Her
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| Open AccessAccurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN
- Xingyan Kuang
- , Fan Wang
- & Robert L. Grossman
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| Open AccessFive hypoxia and immunity related genes as potential biomarkers for the prognosis of osteosarcoma
- Dachang Liu
- , Ziwei Hu
- & Qingjun Wei
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| Open AccessPerformance comparison of different classification algorithms applied to the diagnosis of familial hypercholesterolemia in paediatric subjects
- João Albuquerque
- , Ana Margarida Medeiros
- & Marília Antunes
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| Open AccessAccurate diagnosis of atopic dermatitis by combining transcriptome and microbiota data with supervised machine learning
- Ziyuan Jiang
- , Jiajin Li
- & Jae Hoon Sul
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| Open AccessMachine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy
- Hui-Heng Lin
- , Qian-Ru Zhang
- & Hongyan Xu
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| Open AccessArtificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies
- David Molnar
- , Olof Enqvist
- & Ola Hjelmgren
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| Open AccessAn interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19
- Lijing Jia
- , Zijian Wei
- & Kunlun He
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Article
| Open AccessMachine learning identification of specific changes in myeloid cell phenotype during bloodstream infections
- Christian Gosset
- , Jacques Foguenne
- & André Gothot
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| Open AccessDigital signatures for early traumatic brain injury outcome prediction in the intensive care unit
- Anil K. Palepu
- , Aditya Murali
- & Robert D. Stevens
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| Open AccessAn independently validated, portable algorithm for the rapid identification of COPD patients using electronic health records
- Su H. Chu
- , Emily S. Wan
- & Elizabeth Karlson
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| Open AccessDrug repositioning by merging active subnetworks validated in cancer and COVID-19
- Marta Lucchetta
- & Marco Pellegrini
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| Open AccessBiopsy bacterial signature can predict patient tissue malignancy
- Glenn Hogan
- , Julia Eckenberger
- & Mark Tangney
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| Open AccessEarly outcome detection for COVID-19 patients
- Alina Sîrbu
- , Greta Barbieri
- & Corrado Priami
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Article
| Open AccessAssessing the role of initial conditions in the local structural identifiability of large dynamic models
- Dominique Joubert
- , J. D. Stigter
- & Jaap Molenaar
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Article
| Open AccessMolecular remission at T cell level in patients with rheumatoid arthritis
- Jun Inamo
- , Katsuya Suzuki
- & Tsutomu Takeuchi
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Article
| Open AccessA Robust Machine Learning Based Framework for the Automated Detection of ADHD Using Pupillometric Biomarkers and Time Series Analysis
- William Das
- & Shubh Khanna
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| Open AccessImputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning
- Brian L. Hill
- , Nadav Rakocz
- & Eran Halperin
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Article
| Open AccessAnalysing omics data sets with weighted nodes networks (WNNets)
- Gabriele Tosadori
- , Dario Di Silvestre
- & Giovanni Scardoni
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| Open AccessPredicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia
- Gregor Lichtner
- , Felix Balzer
- & Falk von Dincklage
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| Open AccessProspective validation of an 11-gene mRNA host response score for mortality risk stratification in the intensive care unit
- Andrew R. Moore
- , Jonasel Roque
- & Angela J. Rogers
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Article
| Open AccessPrediction of caregiver quality of life in amyotrophic lateral sclerosis using explainable machine learning
- Anna Markella Antoniadi
- , Miriam Galvin
- & Catherine Mooney
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| Open AccessApplication of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
- Takayuki Amemiya
- , Katsuhisa Horimoto
- & Kazuhiko Fukui
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| Open AccessPredicting mortality risk for preterm infants using random forest
- Jennifer Lee
- , Jinjin Cai
- & Zachary A. Vesoulis
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| Open AccessA machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters
- Xiuqing Zhu
- , Wencan Huang
- & Yuguan Wen
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| Open AccessA novel stepwise integrative analysis pipeline reveals distinct microbiota-host interactions and link to symptoms in irritable bowel syndrome
- Annikka Polster
- , Lena Öhman
- & Magnus Simrén
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| Open AccessIndividualized prediction of COVID-19 adverse outcomes with MLHO
- Hossein Estiri
- , Zachary H. Strasser
- & Shawn N. Murphy
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| Open AccessObservational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patients
- Ka-Chun Un
- , Chun-Ka Wong
- & Chung-Wah Siu
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| Open AccessPredictive modeling of clinical trial terminations using feature engineering and embedding learning
- Magdalyn E. Elkin
- & Xingquan Zhu
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| Open AccessA personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction
- Mauro. F. Pinto
- , Adriana Leal
- & César A. Teixeira
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| Open AccessA multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
- Fernando Timoteo Fernandes
- , Tiago Almeida de Oliveira
- & Alexandre Dias Porto Chiavegatto Filho
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| Open AccessRisk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning
- Wan Xu
- , Nan-Nan Sun
- & Ling-Ling Tang
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Article
| Open AccessDiscovery of potential inhibitors against New Delhi metallo-β-lactamase-1 from natural compounds: in silico-based methods
- Azhar Salari-jazi
- , Karim Mahnam
- & Jamshid Faghri
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Article
| Open AccessPredicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach
- Eyal Klang
- , Benjamin R. Kummer
- & Eric K. Oermann
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| Open AccessPersonalized treatment options for chronic diseases using precision cohort analytics
- Kenney Ng
- , Uri Kartoun
- & Paul C. Tang
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| Open AccessPrediction of disease progression and outcomes in multiple sclerosis with machine learning
- Mauro F. Pinto
- , Hugo Oliveira
- & César Teixeira
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| Open AccessPredicting the need for intubation in the first 24 h after critical care admission using machine learning approaches
- Benjamin Ming Kit Siu
- , Gloria Hyunjung Kwak
- & Pan Hui
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| Open AccessInvestigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease
- Mary E. Dolan
- , David P. Hill
- & Judith A. Blake
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| Open AccessAn efficient machine learning-based approach for screening individuals at risk of hereditary haemochromatosis
- Patricia Martins Conde
- , Thomas Sauter
- & Thanh-Phuong Nguyen
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| Open AccessArtificial neural network based prediction of postthrombolysis intracerebral hemorrhage and death
- Chen-Chih Chung
- , Lung Chan
- & Hung-Wen Chiu
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| Open AccessData integration for prediction of weight loss in randomized controlled dietary trials
- Rikke Linnemann Nielsen
- , Marianne Helenius
- & Ramneek Gupta
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| Open AccessSpecific decreasing of Na+ channel expression on the lateral membrane of cardiomyocytes causes fatal arrhythmias in Brugada syndrome
- Kunichika Tsumoto
- , Takashi Ashihara
- & Yoshihisa Kurachi
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Article
| Open AccessGenerating synthetic aging trajectories with a weighted network model using cross-sectional data
- Spencer Farrell
- , Arnold Mitnitski
- & Andrew Rutenberg
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| Open AccessA decision support framework for prediction of avian influenza
- Samira Yousefinaghani
- , Rozita A. Dara
- & Shayan Sharif
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| Open AccessEnsemble transfer learning for the prediction of anti-cancer drug response
- Yitan Zhu
- , Thomas Brettin
- & Rick L. Stevens
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| Open AccessImpact of RNA-seq data analysis algorithms on gene expression estimation and downstream prediction
- Li Tong
- , Po-Yen Wu
- & May D. Wang
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| Open AccessLarge scale, robust, and accurate whole transcriptome profiling from clinical formalin-fixed paraffin-embedded samples
- Yulia Newton
- , Andrew J. Sedgewick
- & Charles Vaske
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| Open AccessMechanistic insights into the loss-of-function mechanisms of rare human D-amino acid oxidase variants implicated in amyotrophic lateral sclerosis
- Aditya K. Padhi
- & Kam Y. J. Zhang