Advances in application of ultrasound in diagnosis of diabetic nephropathy by GUO Juan, YANG Zhifang, JI Ri

“…In the future, combining AI algorithms with ultrasound technology is expected to enable automatic learning and identification of renal structures and pathological features from large volumes of ultrasound images, automatic quantification of key parameters such as RRI and SWV, and dynamic analysis of changes in renal microcirculation, thereby significantly improving the accuracy and efficiency of DN diagnosis.…”
Get full text

Research on multi-label recognition of tongue features in stroke patients based on deep learning by Honghua Liu, Peiqin Zhang, Yini Huang, Shanshan Zuo, Lu Li, Chang She, Mailan Liu

“…Finally, the model’s performance is quantitatively evaluated. Experimental results show that the proposed deep learning model outperforms several advanced deep learning models, such as resnet and densenet, and existing single-task tongue classification models in automatically recognizing stroke patients’ tongue images. …”
Get full text

Development of the scale on the effects of sleep disorder on stress: validity and reliability study by Arzu Karakaya, Guzel Nur Yıldız, Nuray Şimşek

“…Specifically, quantitatively evaluating the effects of insomnia on an individual's perception of the future, self-esteem, and worldview is fundamental for clinical interventions. …”
Get full text

Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…MethodsLeveraging the risk-based quality management mindset, we built a digital dynamic monitoring platform by using big data analysis and automatic quantitative technology. Data from clinical trial QC reports generated during 2019 to 2023 in Beijing University Cancer Hospital, China, were used to train the automated classification tool, establish warning thresholds, and validate threshold values. …”
Get full text

Ultra-low dose dual-layer detector spectral CT for pulmonary nodule screening: image quality and diagnostic performance by Li Ding, Mingwang Chen, Xiaomei Li, Yuting Wu, Jingxu Li, Shuting Deng, Yikai Xu, Zhao Chen, Chenggong Yan

“…Materials and methods Between April 2023 and December 2023, patients with suspected pulmonary nodules were prospectively enrolled and underwent regular-dose chest CT (RDCT; 120 kVp/automatic tube current) and ultra-low dose CT (ULDCT; 100 kVp/10 mAs) on a DLSCT scanner. …”
Get full text

Inhibition of renal interstitial fibrosis by mulberry leaf alkaloids in rats with diabetic nephropathy by Feng Wu, Li Wei

“…Urinary microalbumin （mAlb）， serum creatinine （Scr） and blood urea nitrogen （BUN） were measured by an automatic biochemical analyzer and endogenous creatinine clearance （Ccr） was calculated. …”
Get full text

DYNAMICS OF DATA OF DIFFERENTIAL WHITE BLOOD CELL COUNT IN PATIENTS WITH GENERALIZED PERIODONTITIS WITH DIFFERENT BLOOD GROUPS by Y.L. Bandrivsky

“…The total blood count was determined using an automatic hematologic analyzer. Morphological study of formed blood elements was performed using a light microscope according to a unified method. …”
Get full text

Heat Adaptation Benefits for Vulnerable groups In Africa (HABVIA): a study protocol for a controlled clinical heat adaptation trial by Michaela Deglon, Chad Africa, Larske Marit Soepnel, Thandi Kapwata, Ama de-Graft Aikins, Kweku Bedu-Addo, Guy Howard, Estelle Victoria Lambert, Dale Elizabeth Rae, Martha Sibanda, Christopher Gordon, Mark New, Lara Ruth Dugas

“…Quantitative comparisons will be made between intervention and control conditions using generalised linear mixed models. …”
Get full text

"An app is just available at all times"-the process and outcomes of converting the Georgia Tuberculosis Reference Guide into a mobile application. by Santiago J Arconada Alvarez, Alison T Hoover, Morgan Greenleaf, Susan M Ray, Marcos C Schechter, Henry M Blumberg, Wilbur A Lam

“…<h4>Methods</h4>We employed a user-centered design approach to develop the app, including a series of qualitative interviews and quantitative surveys. Participants included a mix of state officials and local TB experts. …”
Get full text

Three-dimensional structure of entire hydrated murine hearts at histological resolution by Jasper Frohn, Frederik Böddeker, Marius Reichardt, Hendrik Bruns, Titus Czajka, Amara Khan, Ludovic Broche, Michael Krisch, Alberto Bravin, Frauke Alves, Jana Zschüntzsch, Tim Salditt

“…Our goal is to provide 3d reconstructions of the cardiomyocyte network in entire hydrated murine hearts, and to develop a methodology for quantitative analysis of heart pathologies based on X-ray phase contrast computed tomography (XPCT). …”
Get full text

Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…The study concludes by identifying limitations, such as the lack of quantitative data and real-time experiments, and suggests areas for future research. …”
Get full text

Sap flow characteristics of Liquidambar formosana Hance and its relationships with meteorological factors in Jiangxi degraded red soil region by TU Jie, PEI Qingbao, WANG Huimin, LIAO Yingchun, LI Yanyan

“…Liquidambar formosana Hance is one of the excellent pioneer tree species, which has been widely used in the barren soils in subtropical area of China.L. formosana plantations have huge ecological benefits such as reduction of canopy leaching, remediation of heavy metals pollution and hydrological effects, while at the same time they also consume large amount of water to maintain growth. Therefore, quantitative research on the water consumption characteristics by transpiration of the pioneer plantations has become a hotspot in the field of tree physiological ecology in recent years.In this study, sap flow velocity (v, cm/s) and meteorological factors were simultaneously observed using Granier's thermal dissipation probe and automatic weather station in a degraded red soil region in Jiangxi Province. …”
Get full text

AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images by Csaba Csikos, Sándor Barna, Ákos Kovács, Péter Czina, Ádám Budai, Melinda Szoliková, Iván Gábor Nagy, Borbála Husztik, Gábor Kiszler, Ildikó Garai

“…It was also determined whether there was any difference between the lesions seen on the unfiltered and filtered images. For quantitative analysis, an automatic lesion detector (BS-AI annotator) was utilized as a segmentation algorithm. …”
Get full text

Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases by Qian Zhang, Hui’e Jiang, Zhijian Li, Lijuan Chen, Fengqian Yang, Jiamin Zhang, Bo Zhang, Xinhua Liu

“…Further, the NIFP-SM-based automatic analysis platform integrated with an intelligent RGB analysis device was manufactured and enabled accurate quantitative, low-cost, non-invasive/-enzymatic/-serodiagnostic, rapid, home-detecting for UA, eliminating the need for costly equipment and specialized personnel and thereby facilitating early-warning detection of abnormal UA-levels associated diseases.…”
Get full text

Enhancing Cloud Detection in Polar Regions Using Combined Spectral and Textural Features for Landsat 8/9 OLI Imagery by Xinran Shen, Teng Li, Chong Liu, Shaoyin Wang, Lei Zheng, Qi Liang, Xiao Cheng, Jiaqi Yao

“…Consequently, it improves the accuracy of other quantitative remote sensing investigations, such as atmosphere correction, albedo estimation, and so on.…”
Get full text

Sensitive detection of minimal residual disease and immunotherapy targets by multi-modal bone marrow analysis in high-risk neuroblastoma – a multi-center study by Nina U. Gelineau, Eva Bozsaky, Lieke M. J. van Zogchel, Fikret Rifatbegovic, Daria Lazic, Andrea Ziegler, Ahmad Javadi, Lily Zappeij-Kannegieter, Ulrike Pötschger, Marta Fiocco, Peter F. Ambros, Inge M. Ambros, Bernd Bodenmiller, Ellen C. van der Schoot, Ruth Ladenstein, Marie Bernkopf, Godelieve A. M. Tytgat, Sabine Taschner-Mandl

“…Methods This study evaluates advanced multi-modal high-sensitivity MRD detection techniques in 509 bone marrow specimens from 108 high-risk neuroblastoma patients across two centers. We employed automatic immunofluorescence plus interphase fluorescence in situ hybridization (AIPF) and reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) panels to quantify disseminated tumor cells (DTCs), disialoganglioside 2 (GD2) and CD56/Neural cell adhesion molecule (NCAM) levels, and adrenergic (ADRN) and mesenchymal (MES)-phenotype mRNA markers. …”
Get full text

Pattern of changes in morpho-densitometric parameters of magnocellular neurons of the hypothalamic paraventricular nucleus under restraint stress of different duration by K. B. Romanova, O. V. Hancheva, Yu. M. Kolesnyk

“…Images of magnocellular neurons of the hypothalamic paraventricular nuclei (PVN), which were topographically identified according to the stereotaxic atlas of the rat brain, were captured using a highly sensitive AxioCam-ERc 5s video camera (Carl Zeiss, Germany) and recorded as a computer file using AxioVision 40 V 4.8.2.0 software (license number 3005339). Quantitative data on the area of neurons, their nuclei and nucleoli, the content of heterogeneous DNA and RNA in the cell cytoplasm, nuclei and nucleoli were obtained in a semi-automatic mode using the open source software ImageJ (National Institutes of Health, USA). …”
Get full text

Experience with artificial intelligence algorithms for the diagnosis of vertebral compression fractures based on computed tomography: from testing to practical evaluation by Zlata R. Artyukova, Alexey V. Petraikin, Nikita D. Kudryavtsev, Fedor A. Petryaykin, Dmitry S. Semenov, Daria E. Sharova, Zhanna E. Belaya, Anton V. Vladzimirskyy, Yuriy A. Vasilev

“…The expert group of radiologists assessed the diagnostic accuracy and functional capacity of the AI algorithms at all stages. The resulting quantitative metrics of the accuracy of artificial intelligence algorithms were compared with the required target values. …”
Get full text

CHANGES IN MORPHODENSITOMETRIC PARAMETERS OF THE PARAVENTRICULAR NUCLEUS OF THE HYPOTHALAMUS IN RATS UNDER STRESS OF DIFFERENT DURATIONS by І. Федоряк, Р. Булик

“…Morphodensitometric analysis of hypothalamic neurons in rats was performed using the VIDAS-386 digital image analysis system (Kontron Elektronik, Germany) within the visible spectrum. Quantitative data on the area of neurons, their nuclei and nucleoli, the content of RNA in the cell cytoplasm, nuclei and nucleoli were obtained in a semi-automatic mode. …”
Get full text

An Automated Method for the Quantification and Fractal Analysis of Immunostaining by Armin Gerger, Patrick Bergthaler, Josef Smolle

“…In a second step, immunostained slides were automatically screened and the procedure was tested for the quantitative description of amount of cytokeratin (CK) and leukocyte common antigen (LCA) immunopositive structures. …”
Get full text