Editor’s Picks

Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals

Goal: To achieve high-quality comprehensive feature extraction from physiological signals that enables precise physiological parameter estimation despite evolving waveform morphologies.

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Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials

Goal: To develop a computationally efficient and unbiased synthetic data generator for large-scale in silico clinical trials (CTs).

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Assessment of CAR-T Cell-Mediated Cytotoxicity in 3D Microfluidic Cancer Co-Culture Models for Combination Therapy 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Assessment of CAR-T Cell-Mediated Cytotoxicity in 3D Microfluidic Cancer Co-Culture Models for Combination Therapy

Chimeric antigen receptor (CAR)-T cell therapy is efficacious against many haematological malignancies, but challenges remain when using this cellular immunotherapy for treating solid tumours.

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Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology

Author(s): Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim Bladder cancer (BC) is the most common urinary malignancy; however accurate diagnosis and prediction of recurrence…

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Prediction for the Risk of Multiple Chronic Conditions Among Working Population in the United States With Machine Learning Models 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Prediction for the Risk of Multiple Chronic Conditions Among Working Population in the United States With Machine Learning Models

Author(s): Jingmei Yang, Xinglong Ju, Feng Liu, Onur Asan, Timothy S. Church, Jeff O. Smith

Objective: Chronic diseases have become the most prevalent and costly health conditions in the healthcare industry, deteriorating the quality of life, adversely affecting the work productivity, and costing astounding medical…

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RADxSM Tech: A New Paradigm for MedTech Development Overview of This Special Section 2000 582 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

RADxSM Tech: A New Paradigm for MedTech Development Overview of This Special Section

Author(s): Steven Schachter, John A. Parrish

The papers in this special section focuses on the major interrelated components of Rapid Acceleration of Diagnostics (RADxSM) Tech, a National Institutes of Health (NIH)-funded program launched on April 29,…

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A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for In Silico Clinical Trials of Stent Design 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for In Silico Clinical Trials of Stent Design

Author(s): Dimitrios S. Pleouras, Antonis I. Sakellarios, George Rigas, Georgia Karanasiou, Panagiota Tsompou, Gianna Karanasiou, Vassiliki Kigka, Savvas Kyriakidis, Vasileios C. Pezoulas, George Gois, Nikolaos Tachos, Aidonis Ramos, Gualtiero Pelosi, Silvia Rocchiccioli, Lampros K. Michalis, Dimitrios I. Fotiadis

Goal: To develop a cardiovascular virtual population using statistical modeling and computational biomechanics. Methods: A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real…

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Non-Invasive Cardiac and Respiratory Activity Assessment From Various Human Body Locations Using Bioimpedance 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Non-Invasive Cardiac and Respiratory Activity Assessment From Various Human Body Locations Using Bioimpedance

Author(s): Kaan Sel, Deen Osman, Roozbeh Jafari

Objective: Bioimpedance sensing is a powerful technique that measures the tissue impedance and captures important physiological parameters including blood flow, lung movements, muscle contractions, body fluid shifts, and other cardiovascular…

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Deep Learning Classification of Systemic Sclerosis Skin using the MobileNetV2 Model 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Deep Learning Classification of Systemic Sclerosis Skin using the MobileNetV2 Model

Author(s): Metin Akay, Yong Du, Cheryl L Sershen, Minghua Wu, Ting Y Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay

Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and internal organs. Early diagnosis of the disease is crucial for designing effective therapy and management…

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