Articles

Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification

in Medicine and Public Health

• Bradley J. Nartowt
• Gregory R. Hart
• Wazir Muhammad
• Ying Liang
• Gigi F. Stark
• Jun Deng

Model-Based Comparison of Deep Brain Stimulation Array Functionality with Varying Number of Radial Electrodes and Machine Learning Feature Sets

• Benjamin A. Teplitzky
• Laura M. Zitella
• YiZi Xiao
• Matthew D. Johnson

Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines

in Fluid Mechanics

• Daniel Yesid Uribe-Tarazona
• Carlos Mauricio Ruiz-Diaz
• Octavio Andrés González-Estrada

Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach

in ADHD

• Kwang Su Cha
• Bongseog Kim
• Jun-Young Lee
• Hanik Yoo

Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection

in Computer Vision

• Manh-Tuan Do
• Manh-Hung Ha
• Duc-Chinh Nguyen
• Oscal Tzyh-Chiang Chen

Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia

in Cancer Immunity and Immunotherapy

• Xingbiao Chen
• Weijun Ling
• Zhehan Yang
• Xinyi Chen
• Ziyuan Lu

Identification of key genes in periodontitis

in Computational Genomics

• Xianyang Cheng
• Shan Shen

Gut Microbiota Exceeds Cervical Microbiota for Early Diagnosis of Endometriosis

in Microbiome in Health and Disease

• Liujing Huang
• Bingdong Liu
• Zhihong Liu
• Wanqin Feng
• Minjuan Liu
• Yifeng Wang
• Dongxian Peng
• Xiafei Fu
• Honglei Zhu
• Zongbin Cui

Deep Cross-User Models Reduce the Training Burden in Myoelectric Control

in Neuroprosthetics

• Evan Campbell
• Angkoon Phinyomark
• Erik Scheme

Predicting delayed antenatal care initiation among pregnant women in East Africa: using machine learning algorithms

in Maternal Health

• Nebebe Demis Baykemagn
• Eliyas Addisu Taye
• Mequannent Sharew Melaku
• Tirualem Zeleke Yehuala
• Makda Fekadie Tewelgne
• Fetlework Gubena Arage
• Adem Tsegaw Zegeye

Modeling structure–activity relationships with machine learning to identify GSK3-targeted small molecules as potential COVID-19 therapeutics

in Systems Endocrinology

• Rameez Hassan Pirzada
• Bilal Ahmad
• Naila Qayyum
• Sangdun Choi

Cross-Tissue Transcriptomic Analysis Leveraging Machine Learning Approaches Identifies New Biomarkers for Rheumatoid Arthritis

in Inflammation

• Dmitry Rychkov
• Jessica Neely
• Tomiko Oskotsky
• Steven Yu
• Noah Perlmutter
• Joanne Nititham
• Alexander Carvidi
• Melissa Krueger
• Andrew Gross
• Lindsey A. Criswell

Simultaneous Random Number Generation and Optical Tweezers Calibration Employing a Learning Algorithm Based on the Brownian Dynamics of a Trapped Colloidal Particle

in Optics and Photonics

• Raunak Dey
• Subhrokoli Ghosh
• Avijit Kundu
• Ayan Banerjee

Traveltime-based microseismic event location using artificial neural network

in Solid Earth Geophysics

• Denis Anikiev
• Umair bin Waheed
• František Staněk
• Dmitry Alexandrov
• Qi Hao
• Naveed Iqbal
• Leo Eisner

Machine learning models integrating intracranial artery calcification to predict outcomes of mechanical thrombectomy

in Endovascular and Interventional Neurology

• Guangzong Li
• Yuesen Zhang
• Di Li
• Manhong Zhao
• Lin Yin

Predictive modeling of colorectal cancer using exhaustive analysis of microbiome information layers available from public metagenomic data

in Systems Microbiology

• Boštjan Murovec
• Leon Deutsch
• Blaž Stres