Articles

Long-Time Prediction of Arrhythmic Cardiac Action Potentials Using Recurrent Neural Networks and Reservoir Computing

in Computational Physiology and Medicine

• Shahrokh Shahi
• Christopher D. Marcotte
• Conner J. Herndon
• Flavio H. Fenton
• Yohannes Shiferaw
• Elizabeth M. Cherry

Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods

in Land, Livelihoods and Food Security

• Rotem Zelingher
• David Makowski
• Thierry Brunelle

Study Progress of Radiomics With Machine Learning for Precision Medicine in Bladder Cancer Management

in Cancer Imaging and Image-directed Interventions

• Lingling Ge
• Yuntian Chen
• Chunyi Yan
• Pan Zhao
• Peng Zhang
• Runa A
• Jiaming Liu

Making sense of radiomics: insights on human–AI collaboration in medical interaction from an observational user study

in Health Communication

• Jakub Mlynář
• Adrien Depeursinge
• John O. Prior
• Roger Schaer
• Alexandre Martroye de Joly
• Florian Evéquoz

Can micro-expressions be used as a biomarker for autism spectrum disorder?

• Mindi Ruan
• Na Zhang
• Xiangxu Yu
• Wenqi Li
• Chuanbo Hu
• Paula J. Webster
• Lynn K. Paul
• Shuo Wang
• Xin Li

Regression analysis of air pollution and pediatric respiratory diseases based on interpretable machine learning

in Atmospheric Science

• Yan Ji
• Xiefei Zhi
• Ying Wu
• Yanqiu Zhang
• Yitong Yang
• Ting Peng
• Luying Ji

Model and remote-sensing-guided experimental design and hypothesis generation for monitoring snow-soil–plant interactions

in Water and Critical Zone

• Haruko M. Wainwright
• Baptiste Dafflon
• Erica R. Siirila-Woodburn
• Nicola Falco
• Yuxin Wu
• Ian Breckheimer
• Rosemary W. H. Carroll

Modeling of wave-induced drift based on stepwise parameter calibration

in Ocean Observation

• Kui Zhu
• Xueyao Chen
• Lin Mu
• Dingfeng Yu
• Runze Yu
• Zhaolong Sun
• Tong Zhou

Getting Its Feet on the Ground: Elucidating Paralouatta’s Semi-Terrestriality Using the Virtual Morpho-Functional Toolbox

in Paleontology

• Thomas A. Püschel
• Jordi Marcé-Nogué
• Justin Gladman
• Biren A. Patel
• Sergio Almécija
• William I. Sellers

Machine learning and digital images of porous materials: from rock to the human brain

in Interdisciplinary Physics

• Ali Sahimi
• Muhammad Sahimi

Constructing a risk screen for attention difficulty in U.S. adults using six machine learning methods

in Medicine and Public Health

• Ying Song
• Yansun Sun
• Zedan Guo
• Li Yi

A novel clinical−radiomic nomogram for the crescent status in IgA nephropathy

in Renal Endocrinology

• Xiachuan Qin
• Linlin Xia
• Xiaomin Hu
• Weihan Xiao
• Xian Huaming
• Xie Xisheng
• Chaoxue Zhang

Performance assessment of drone-based photogrammetry coupled with machine-learning for the estimation of hail size distributions on the ground

in Atmosphere and Climate

• Jannis Portmann
• Martin Lainer
• Killian P. Brennan
• Marilou Jourdain de Thieulloy
• Matteo Guidicelli
• Samuel Monhart

A Comparative Evaluation of Tools to Predict Metabolite Profiles From Microbiome Sequencing Data

in Systems Microbiology

• Xiaochen Yin
• Tomer Altman
• Erica Rutherford
• Kiana A. West
• Yonggan Wu
• Jinlyung Choi
• Paul L. Beck
• Gilaad G. Kaplan
• Karim Dabbagh
• Todd Z. DeSantis

Strategies of AAV capsid engineering for targeted delivery to brain, muscle, and retina

in Molecular Diagnostics and Therapeutics

• Xinyuan Xu

Immune landscape-based machine-learning–assisted subclassification, prognosis, and immunotherapy prediction for glioblastoma

in Cancer Immunity and Immunotherapy

• Haiyan Li
• Jian He
• Menglong Li
• Kun Li
• Xuemei Pu
• Yanzhi Guo