From Single-Core Nanoparticles in Ferrofluids to Multi-Core Magnetic Nanocomposites: Assembly Strategies, Structure, and Magnetic Behavior by Theodora Krasia-Christoforou, Vlad Socoliuc, Kenneth D. Knudsen, Etelka Tombácz, Rodica Turcu, Ladislau Vékás

“…Iron oxide nanoparticles are the basic components of the most promising magnetoresponsive nanoparticle systems for medical (diagnosis and therapy) and bio-related applications. …”
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A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model by Carlos Santos, Marilton Aguiar, Daniel Welfer, Bruno Belloni

“…Thus, to overcome these problems, this work proposes a new approach based on image processing techniques, data augmentation, transfer learning, and deep neural networks to assist in the medical diagnosis of fundus lesions. The proposed approach was trained, adjusted, and tested using the public DDR and IDRiD Diabetic Retinopathy datasets and implemented in the PyTorch framework based on the YOLOv5 model. …”
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Classification and Predictions of Lung Diseases from Chest X-rays Using MobileNet V2 by Abdelbaki Souid, Nizar Sakli, Hedi Sakli

“…<strong>Featured Application: The method presented in this paper can be applied in medical computer systems for supporting medical diagnosis.</strong><br /><br /><strong>Abstract</strong>: Thoracic radiography (chest X-ray) is an inexpensive but effective and widely used medical imaging procedure. …”
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A Multiuser, Multisite, and Platform-Independent On-the-Cloud Framework for Interactive Immersion in Holographic XR by Hosein Neeli, Khang Q. Tran, Jose Daniel Velazco-Garcia, Nikolaos V. Tsekos

“…Conclusion: Holo-Cloud shows the potential to become a standard platform to facilitate the application of interactive XR in medical diagnosis, bioinformatics, and training by providing a robust platform for XR applications.…”
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NIPUNA: A Novel Optimizer Activation Function for Deep Neural Networks by Golla Madhu, Sandeep Kautish, Khalid Abdulaziz Alnowibet, Hossam M. Zawbaa, Ali Wagdy Mohamed

“…In recent years, various deep neural networks with different learning paradigms have been widely employed in various applications, including medical diagnosis, image analysis, self-driving vehicles and others. …”
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Microwave Imaging Sensor Using Low Profile Modified Stacked Type Planar Inverted F Antenna by Mohammad Tariqul Islam, Md. Amanath Ullah, Touhidul Alam, Mandeep Jit Singh, Mengu Cho

“…Microwave imaging is the technique to identify hidden objects from structures using electromagnetic waves that can be applied in medical diagnosis. The change of dielectric property can be detected using microwave antenna sensor, which can lead to localization of abnormality in the human body. …”
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Sniffing Like a Wine Taster: Multiple Overlapping Sniffs (MOSS) Strategy Enhances Electronic Nose Odor Recognition Capability by Luzheng Liu, Na Na, Jichuan Yu, Wenxiang Zhao, Ze Wang, Yu Zhu, Chuxiong Hu

“…The proposed strategy has potential applications in various odor recognition scenarios, such as medical diagnosis, food quality assessment, and environmental surveillance.…”
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A Method for Local Contrast Enhancement of Endoscopic Images Based on Color Tensor Transformation into a Matrix of Color Vectors’ Modules Using a Sliding Window by Roumen Kountchev, Alexander Bekiarski, Rumen Mironov, Snezhana Pleshkova

“…The presented new method is characterized by low computational complexity, due to the lack of direct and inverse color conversion and the possibility for adaptive local contrast enhancement, which is essential for accurate medical diagnosis based on endoscopic images analysis. …”
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Virtual monochromatic imaging with projection-based material decomposition algorithm for metal artifacts reduction in photon-counting detector computed tomography. by Chia-Hao Chang, Hsiang-Ning Wu, Ching-Han Hsu, Hsin-Hon Lin

“…Metal artifacts present a major challenge to computed tomography (CT) because they reduce the image quality in medical diagnosis and treatment. Several metal artifact reduction (MAR) methods have been proposed to address this issue in previous studies. …”
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Graphene-Based Tunable Dual-Frequency Terahertz Sensor by Maixia Fu, Yuchao Ye, Yingying Niu, Shaoshuai Guo, Zhaoying Wang, Xueying Liu

“…Therefore, the proposed sensor has great potential applications in terahertz fields, such as material characterization, medical diagnosis, and environmental monitoring.…”
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Cross-sectional survey about the prevalence of allergic rhinitis in Argentina: Study PARA by Daniel Vázquez, Iris Medina, Georgina Logusso, Sergio Arias, Gabriel Gattolin, Claudio Parisi

“…Allergic rhinitis was more frequent in women; the prevalence was of 22.3% in the group of participants between the ages of 5 and 19, and of 19.4% in the group of participants between the ages of 20 and 40 (p=0.0545); 63.8% of participants with symptoms did not have a medical diagnosis. Conclusions: The results of this first cross-sectional national survey have confirmed the high prevalence of self-reported symptoms of allergic rhinitis in adults and children in Argentina, particularly in women.…”
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AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses by Jiajia Jiao, Yingzhao Chen, Zhiyu Li, Tien-Hsiung Weng

“…Therefore, based on the U-net network, an adaptive automatic whole-field segmentation network (AWDS-net) for characterising diverse breast masses is proposed to assist more accurate and fast medical diagnosis in this paper. In the encoder part of AWDS-net, a small mass extraction mechanism (SMEM) is designed to better retain fine-grained small mass location information, while a spatial pyramid module (SPM) is added to capture multi-scale context and high-resolution image information. …”
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Enhancing fracture diagnosis in pelvic X-rays by deep convolutional neural network with synthesized images from 3D-CT by Rashedur Rahman, Naomi Yagi, Keigo Hayashi, Akihiro Maruo, Hirotsugu Muratsu, Syoji Kobashi

“…Abstract Pelvic fractures pose significant challenges in medical diagnosis due to the complex structure of the pelvic bones. …”
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Aptamer‐functionalized field‐effect transistor biosensors for disease diagnosis and environmental monitoring by Jingfeng Wang, Duo Chen, Wanting Huang, Nianjun Yang, Quan Yuan, Yanbing Yang

“…This review summarizes the recent progress of FET biosensors based on aptamer functionalized nanomaterials in medical diagnosis and environmental monitoring. The structure, sensing principles, preparation methods, and functionalization strategies of aptamer modified FET biosensors were comprehensively summarized. …”
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Nanoparticles‐induced potential toxicity on human health: Applications, toxicity mechanisms, and evaluation models by Lihui Xuan, Zhao Ju, Magdalena Skonieczna, Ping‐Kun Zhou, Ruixue Huang

“…In this review, we first present a comprehensive landscape of the applications of NPs on health, especially addressing the role of NPs in medical diagnosis, therapy. Then, the toxicity of NPs on health systems is introduced. …”
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Highly Sensitive Refractive Index Sensor Based on Polymer Bragg Grating: A Case Study on Extracellular Vesicles Detection by Nabarun Saha, Giuseppe Brunetti, Arun Kumar, Mario Nicola Armenise, Caterina Ciminelli

“…The measurement of small changes in the refractive index (RI) leads to a comprehensive analysis of different biochemical substances, paving the way to non-invasive and cost-effective medical diagnosis. In recent times, the liquid biopsy for cancer detection via extracellular vesicles (EV) in the bodily fluid is becoming very popular thanks to less invasiveness and stability. …”
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A Novel Data Augmentation-Based Brain Tumor Detection Using Convolutional Neural Network by Haitham Alsaif, Ramzi Guesmi, Badr M. Alshammari, Tarek Hamrouni, Tawfik Guesmi, Ahmed Alzamil, Lamia Belguesmi

“…Recent progress in the field of deep learning has contributed enormously to the health industry medical diagnosis. Convolutional neural networks (CNNs) have been intensively used as a deep learning approach to detect brain tumors using MRI images. …”
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Build-in sensors and analysis algorithms aided smartphone-based sensors for point-of-care tests by Yinqiang Xia, Jinyao Hu, Shixuan Zhao, Lin Tao, Zhonghong Li, Tianli Yue, Jia Kong

“…Considering the test accuracy and sensitivity, kinds of external devices were equipped on smartphones for a better on-site medical diagnosis. However, some devices were not easily fabricated or obtained. …”
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Sensitivity Analysis of Acoustic Emission Detection Using Fiber Bragg Gratings with Different Optical Fiber Diameters by Georgios Violakis, Tri Le-Quang, Sergey A. Shevchik, Kilian Wasmer

“…Acoustic Emission (AE) detection and, in particular, ultrasound detection are excellent tools for structural health monitoring or medical diagnosis. Despite the technological maturity of the well-received piezoelectric transducer, optical fiber AE detection sensors are attracting increasing attention due to their small size, and electromagnetic and chemical immunity as well as the broad frequency response of Fiber Bragg Grating (FBG) sensors in these fibers. …”
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A parsimonious model of blood glucose homeostasis by Eric Ng, Jaycee M. Kaufman, Lennaert van Veen, Yan Fossat

“…Furthermore, condensing model results into simple indicators is challenging, an important difficulty in scenarios where medical diagnosis is required. In this paper, we develop a minimal model of glucose homeostasis with the potential to yield diagnostics for pre-diabetes. …”
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