Biological system modeling

Cole–Cole Model for the Dielectric Characterization of Healthy Skin and Basal Cell Carcinoma at THz Frequencies
Cole–Cole Model for the Dielectric Characterization of Healthy Skin and Basal Cell Carcinoma at THz Frequencies 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
THz radiationeffectively probes biological tissue water content due to its high sensibility to polar molecules. Skin and basal cell carcinoma (BCC), both rich in water, have been extensively studied in… read more

Digital Twins of Biological Systems: A Narrative Review
Digital Twins of Biological Systems: A Narrative Review 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
The concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in… read more

Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications
Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Researchers in biomedical engineering are increasingly turning to weakly-supervised deep learning (WSDL) techniques [1] to tackle challenges in biomedical data analysis, which often involves noisy, limited, or imprecise expert annotations… read more

BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs
BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Contractile response and calcium handling are central to understanding cardiac function and physiology, yet existing methods of analysis to quantify these metrics are often time-consuming, prone to mistakes, or… read more

FetSAM: Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery
FetSAM: Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: FetSAM represents a cutting-edge deep learning model aimed at revolutionizing fetal head ultrasound segmentation, thereby elevating prenatal diagnostic precision. Methods: Utilizing a comprehensive dataset–the largest to date for fetal… read more

A Particle-Based COVID-19 Simulator with Contact Tracing and Testing
Author(s)3: Askat Kuzdeuov, Aknur Karabay, Daulet Baimukashev, Bauyrzhan Ibragimov, Huseyin Atakan Varol
A Particle-Based COVID-19 Simulator with Contact Tracing and Testing 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Goal: The COVID-19 pandemic has emerged as the most severe public health crisis in over a century. As of January 2021, there are more than 100 million cases and 2.1…

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COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings
Author(s)3: Jordi Laguarta, Ferran Hueto, Brian Subirana
COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings 200 200 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
We hypothesized that COVID-19 subjects, especially including asymptomatics, could be accurately discriminated only from a forced-cough cell phone recording using Artificial Intelligence. To train our MIT Open Voice model we built a data collection pipeline of COVID-19 cough recordings through our website (opensigma.mit.edu) between April and May 2020 and created the largest audio COVID-19 cough balanced dataset reported to date with 5,320 subjects. read more
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