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| Open AccessMulti-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson’s disease
- Katarina Mihajlović
- , Gaia Ceddia
- & Nataša Pržulj
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| Open AccessShifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classification
- Pranav Singh
- , Raviteja Chukkapalli
- & Jacopo Cirrone
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| Open AccessImmunoinformatics design of a structural proteins driven multi-epitope candidate vaccine against different SARS-CoV-2 variants based on fynomer
- Javad Sarvmeili
- , Bahram Baghban Kohnehrouz
- & Hamideh Ofoghi
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| Open AccessSegmentation of liver CT images based on weighted medical transformer model
- Qun Gu
- , Hai Zhang
- & Rui Wang
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| Open AccessDevelopment and validation of a smartwatch algorithm for differentiating physical activity intensity in health monitoring
- Daixi Chen
- , Yuchen Du
- & Xun Xu
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| Open AccessFairness and bias correction in machine learning for depression prediction across four study populations
- Vien Ngoc Dang
- , Anna Cascarano
- & Karim Lekadir
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| Open AccessA distributed feature selection pipeline for survival analysis using radiomics in non-small cell lung cancer patients
- Benedetta Gottardelli
- , Varsha Gouthamchand
- & Andrea Damiani
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| Open AccessPrediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study
- Sitan Feng
- , Shujiang Wang
- & Xinli Zhan
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| Open AccessConceptual framework for tinnitus: a cognitive model in practice
- Iman Ghodratitoostani
- , Zahra Vaziri
- & Joao Pereira Leite
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| Open AccessGeneralizable disease detection using model ensemble on chest X-ray images
- Maider Abad
- , Jordi Casas-Roma
- & Ferran Prados
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| Open AccessA hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals
- Moein E. Samadi
- , Jorge Guzman-Maldonado
- & Andreas Schuppert
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| Open AccessUncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy
- Celia Martín Vicario
- , Dalia Rodríguez Salas
- & Iris Muehlen
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| Open AccessA publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI
- Christopher O. Lew
- , Majid Harouni
- & Maciej A. Mazurowski
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| Open AccessSubjective feelings associated with expectations and rewards during risky decision-making in impulse control disorder
- Brittany Liebenow
- , Angela Jiang
- & Kenneth T. Kishida
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| Open AccessTransdiagnostic clustering and network analysis for questionnaire-based symptom profiling and drug recommendation in the UK Biobank and a Korean cohort
- Eunjin Lee
- , Dongbin Lee
- & Woong-yang Park
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| Open AccessMuscle stiffness indicating mission crew health in space
- Britt Schoenrock
- , Paul E. Muckelt
- & Dieter Blottner
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| Open AccessAn artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes
- Timothy K. Chung
- , Pete H. Gueldner
- & David A. Vorp
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| Open AccessSurvival prediction of glioblastoma patients using modern deep learning and machine learning techniques
- Samin Babaei Rikan
- , Amir Sorayaie Azar
- & Uffe Kock Wiil
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| Open AccessOptimized network based natural language processing approach to reveal disease comorbidities in COVID-19
- Emre Taylan Duman
- , Gizem Tuna
- & Pinar Pir
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| Open AccessImproving the precision of shock resuscitation by predicting fluid responsiveness with machine learning and arterial blood pressure waveform data
- Chitrabhanu B. Gupta
- , Debraj Basu
- & Jason Y. Adams
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| Open AccessPrediction of sentinel lymph node metastasis in breast cancer patients based on preoperative features: a deep machine learning approach
- Reza Shahriarirad
- , Seyed Mostafa Meshkati Yazd
- & Nahid Nafissi
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| Open AccessDiscovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine
- William DeGroat
- , Habiba Abdelhalim
- & Zeeshan Ahmed
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| Open AccessIdentification of CT-based non-invasive radiomic biomarkers for overall survival prediction in oral cavity squamous cell carcinoma
- Xiao Ling
- , Gregory S. Alexander
- & Lei Ren
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| Open AccessEffective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis
- Noriko Sato
- , Rei Haruyama
- & Naoyuki Miyasaka
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| Open AccessNucleotide excision repair deficiency is a targetable therapeutic vulnerability in clear cell renal cell carcinoma
- Aurel Prosz
- , Haohui Duan
- & Zoltan Szallasi
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| Open AccessToward MR protocol-agnostic, unbiased brain age predicted from clinical-grade MRIs
- Pedro A. Valdes-Hernandez
- , Chavier Laffitte Nodarse
- & Yenisel Cruz-Almeida
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| Open AccessGenome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients
- Daniele Raimondi
- , Haleh Chizari
- & Yves Moreau
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| Open AccessAltered Gut Microbiota and Short-chain Fatty Acids in Chinese Children with Constipated Autism Spectrum Disorder
- Jianquan He
- , Xiuhua Gong
- & Yuying Zhang
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| Open AccessMachine learning-based prediction models for parathyroid carcinoma using pre-surgery cognitive function and clinical features
- Yuting Wang
- , Bojun Wei
- & Dalin Feng
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| Open AccessEarly and fair COVID-19 outcome risk assessment using robust feature selection
- Felipe O. Giuste
- , Lawrence He
- & May D. Wang
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| Open AccessAugmentation strategies for an imbalanced learning problem on a novel COVID-19 severity dataset
- Daniel Schaudt
- , Reinhold von Schwerin
- & Christopher Kloth
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| Open AccessPredicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks
- Hongyin Liang
- , Meng Wang
- & Hongtao Yan
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| Open AccessInherently interpretable position-aware convolutional motif kernel networks for biological sequencing data
- Jonas C. Ditz
- , Bernhard Reuter
- & Nico Pfeifer
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| Open AccessCancer-associated fibroblast-related prognostic signature predicts prognosis and immunotherapy response in pancreatic adenocarcinoma based on single-cell and bulk RNA-sequencing
- Yajun Chen
- , Qican Deng
- & Zhongxue Fu
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| Open AccessC-reactive protein-to-albumin ratio as a biomarker in patients with sepsis: a novel LASSO-COX based prognostic nomogram
- Xin Zhou
- , Shouzhi Fu
- & Youxia Liao
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| Open AccessOptimal controlling of anti-TGF-\(\beta\) and anti-PDGF medicines for preventing pulmonary fibrosis
- Fatemeh Bahram Yazdroudi
- & Alaeddin Malek
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| Open AccessPredicting the severity of postoperative scars using artificial intelligence based on images and clinical data
- Jemin Kim
- , Inrok Oh
- & Ju Hee Lee
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| Open AccessDevelopment of a machine learning-based prediction model for sepsis-associated delirium in the intensive care unit
- Yang Zhang
- , Juanjuan Hu
- & Min Yang
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| Open AccessTechniques to produce and evaluate realistic multivariate synthetic data
- John Heine
- , Erin E. E. Fowler
- & Steven Eschrich
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| Open AccessPredicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data
- John Karlsson Valik
- , Logan Ward
- & Pontus Nauclér
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| Open AccessInterpretable deep learning for improving cancer patient survival based on personal transcriptomes
- Bo Sun
- & Liang Chen
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| Open AccessFractional calculus in mathematical oncology
- Tudor Alinei-Poiana
- , Eva-H. Dulf
- & Levente Kovacs
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| Open AccessMachine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest
- Kaoru Shimada-Sammori
- , Tadanaga Shimada
- & Taka-aki Nakada
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| Open AccessReal time monitoring of COVID-19 intervention effectiveness through contact tracing data
- Graham C. Gibson
- , Spencer Woody
- & Darlene Bhavnani
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| Open AccessLeveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillation
- Daniel Schaudt
- , Reinhold von Schwerin
- & Christopher Kloth
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| Open AccessAtlas-based finite element analyses with simpler constitutive models predict personalized progression of knee osteoarthritis: data from the osteoarthritis initiative
- Mika E. Mononen
- , Alexander Paz
- & Mikael J. Turunen
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| Open AccessEmbracing cohort heterogeneity in clinical machine learning development: a step toward generalizable models
- Michiel Schinkel
- , Frank C. Bennis
- & Prabath W. B. Nanayakkara
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| Open AccessPredicting 1-year mortality of patients with diabetes mellitus in Kazakhstan based on administrative health data using machine learning
- Aidar Alimbayev
- , Gulnur Zhakhina
- & Abduzhappar Gaipov
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| Open AccessAccurate prognosis for localized prostate cancer through coherent voting networks with multi-omic and clinical data
- Marco Pellegrini