A New Environmentally Friendly Mortar from Cement, Waste Marble and Nano Iron Slag as Radiation Shielding by Ahmed M. El-Khatib, Mahmoud I. Abbas, Mohamed Abd Elzaher, M. Anas, Mohamed S. Abd El Moniem, Mahmoud Montasar, Ebeid Ellithy, Mahmoud T. Alabsy

“…The nano iron slag mortar can be utilized in place of typical sand mortar for applications as rendering or plastering materials for building medical diagnostic and CT scanner rooms, due to its improved shielding abilities.…”
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Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing by Jianfeng Yu, Kai Qiu, Pengju Wang, Caixia Su, Yufeng Fan, Yongfeng Cao

“…The goal of this study is not to attack any of EEG medical diagnostic systems, but to raise concerns about the safety of deep learning models and hope to lead to a safer design.…”
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Factors Associated with Serum Vitamin D Metabolites and Vitamin D Metabolite Ratios in Premenopausal Women by María José Toribio, Feliciano Priego-Capote, Beatriz Pérez-Gómez, Nerea Fernández de Larrea-Baz, Emma Ruiz-Moreno, Adela Castelló, Pilar Lucas, María Ángeles Sierra, Marina Nieves Pino, Mercedes Martínez-Cortés, María Dolores Luque de Castro, Virginia Lope, Marina Pollán

“…This is a cross-sectional study based on 1422 women, aged 39–50, recruited from a Madrid Medical Diagnostic Center. Participants answered an epidemiological and a food frequency questionnaire. …”
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Recent Advances in Cellulose-Based Biosensors for Medical Diagnosis by Samir Kamel, Tawfik A. Khattab

“…Thus, they play a significant role in environmental monitoring, medical diagnostic tools, forensic science, and foodstuff processing safety applications. …”
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The application of Raman spectroscopy for the diagnosis and monitoring of lung tumors by Yuyang Miao, Lihong Wu, Junlian Qiang, Jinfeng Qi, Ying Li, Ruihua Li, Xiaodong Kong, Qiang Zhang

“…Raman spectroscopy strategies produce high levels of chemical specificity without requiring extensive sample preparation, allowing for the use of advanced optical tools such as microscopes, fiber optics, and lasers that operate in the visible and near-infrared spectral range, making them increasingly suitable for a wide range of medical diagnostic applications. Metal nanoparticles and nonlinear optical effects can improve Raman signals, and optimized fiber optic Raman probes can make real-time, in vivo, single-point observations. …”
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Recent increase in the detection of human parainfluenza virus during the coronavirus disease-2019 pandemic in the Republic of Korea by Heui Man Kim, Jee Eun Rhee, Nam-Joo Lee, Sang Hee Woo, Ae Kyung Park, Jaehee Lee, Cheon Kwon Yoo, Eun-Jin Kim

“…Thus, the Korea Disease Control and Prevention Agency supplemented sentinel surveillance with non-sentinel surveillance by private medical diagnostic centers. We report here a delayed and unprecedented high detection of human parainfluenza virus (hPIV) in the Republic of Korea during the COVID-19 pandemic through sentinel and non-sentinel surveillance. …”
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Enhancing accessibility for improved diagnosis with modified EfficientNetV2-S and cyclic learning rate strategy in women with disabilities and breast cancer by Moteeb Al Moteri, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Mohammed Alojail

“…Additionally, a significant number of these models do not possess the requisite transparency and interpretability, which are vital for medical diagnostic purposes. To address these limitations, our study introduces an advanced machine learning model based on EfficientNetV2. …”
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Characterization of fluid flow through porous media by Md. Sunhazim, Nur Shamimi Amirah, Norhaidi, Ummi Aqila, Muhammad Yazid, Muhammad Afiq Witri, Mohd. Zawawi, Fazila, Abidin, Ummikalsom

“…Microfluidic paper-based analytical devices (μPADs) are highly in demand because of their important usage in the field of medical diagnostic, biology and environmental testing. Porous media has been used as a μPADs with the benefits of cost-effective, excellent performance and ease of usage. …”

The Systematic Review of Artificial Intelligence Applications in Breast Cancer Diagnosis by Dilber Uzun Ozsahin, Declan Ikechukwu Emegano, Berna Uzun, Ilker Ozsahin

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Temporal Association between Hampton’s Hump Pulmonary Embolism and First-Dose ChAdOx1 nCov-19 Vaccine in a Patient with Activated Protein C Resistance by Gernot Kriegshäuser, Andreas Braunsteiner

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Clinical comparison and agreement of PCR, antigen, and viral culture for the diagnosis of COVID-19 by Amanda Agard, Omar Elsheikh, Drew Bell, Ryan F. Relich, Bryan H. Schmitt, Josh Sadowski, William Fadel, Douglas H. Webb, Lana Dbeibo, Kristen Kelley, Mariel Carozza, Guang-Shen Lei, Paul Calkins, Cole Beeler

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Chronic Kidney Disease in Balkan Countries—A Call to Action for Timely Diagnosis and Monitoring by Igor Mitić, Mario Laganović, Ivelina Marinova, Nina Gancheva, Valentina Nakić, Dragana Melentijevic, Emil Paskalev, Rajko Vajd, Andrej Škoberne

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Breast Cancer Screening Based on Supervised Learning and Multi-Criteria Decision-Making by Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, Ilker Ozsahin, Berna Uzun

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Quantitative Forecasting of Malaria Parasite Using Machine Learning Models: MLR, ANN, ANFIS and Random Forest by Dilber Uzun Ozsahin, Basil Barth Duwa, Ilker Ozsahin, Berna Uzun

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Diagnostic AI and Cardiac Diseases by Dilber Uzun Ozsahin, Cemre Ozgocmen, Ozlem Balcioglu, Ilker Ozsahin, Berna Uzun

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A Rare Tumor in the Neck of a Child: Plexiform Neurofibroma by Siti Sarah Mohd Ramli, Goh Bee See, Faizah Mohd Zaki, Suria Hayati Md Pauzi, Mohamad Fariz Bin Amri

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Species-Specific Analysis of Bacterial Vaginosis-Associated Bacteria by John Osei Sekyere, Ayodeji B. Oyenihi, Jason Trama, Martin E. Adelson

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Sonographic Relation between Adnexal Masses and Endometrial Thickness in Infertile Females with Hormonal Imbalance by Syed Muhammad Yousaf Farooq, Syed Amir Gilani, Syeda Khadija Tul Sughra, Amjad Iqbal, Mahjabeen ., Syed Zain ul Abidin, Lina Khaled Jallad

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Montmorillonite modified with copper ions: Efficient adsorbent for aflatoxin B1 by Daković Aleksandra, Sekulić Živko, Rottinghaus Georg E., Matijašević Srđan, Milićević Sonja, Stojanović Ana

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Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood Smears by Dilber Uzun Ozsahin, Mubarak Taiwo Mustapha, Basil Bartholomew Duwa, Ilker Ozsahin

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