Otitis externa in dogs (prevalence, etiology, clinical course, and treatment regimens) by D. L. Datsiuk, V. M. Hunchak, B. V. Gutyj, I. I. Khariv, R. O. Vasiv, V. P. Martynyshyn

“…To ensure the accuracy and speed of diagnosis of otitis externa, it is promising to develop a diagnostic algorithm that will help the general practitioner clearly understand the etiological factors and eliminate them or take them under control. …”
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Integrating population genetics and species distribution models to predict red seabream distribution under climate change by Binbin Shan, Wenhao Huang, Mengyi Zhang, Liangming Wang, Yan Liu, Changping Yan, Manting Liu, Qijian Xie, Jianwei Zou, Linlin Zhao, Dianrong Sun

“…We constructed the ensemble model based on eight modelling algorithms; the evaluation scores revealed that it performed well. …”
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Estimation of the water content of needles under stress by Erannis jacobsoni Djak. via Sentinel-2 satellite remote sensing by Jiaze Guo, Xiaojun Huang, Xiaojun Huang, Xiaojun Huang, Debao Zhou, Junsheng Zhang, Gang Bao, Gang Bao, Siqin Tong, Siqin Tong, Yuhai Bao, Yuhai Bao, Dashzebeg Ganbat, Dorjsuren Altanchimeg, Davaadorj Enkhnasan, Mungunkhuyag Ariunaa

“…Needle leaf water content exhibits a clear response to these changes and is highly sensitive in reflecting the degree of tree damage.MethodsIn this work, we combine vegetation indices with machine learning algorithms to estimate the water content of needles at a large scale. …”
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Impact of ESPGHAN no-biopsy strategy on the outcome of celiac disease treatment in children by Iulia Enache, Iulia Enache, Mariana Jinga, Mariana Jinga, Alexandra Palaga, Daniel Vasile Balaban, Daniel Vasile Balaban, Felicia Galos, Felicia Galos, Dhea-Maria Macovei, Alina Popp, Alina Popp, Alina Popp

“…We assessed the impact of the diagnostic algorithm on the patient's long-term outcome by comparing the serology-based diagnosed patients to biopsy-proven ones.MethodsWe reviewed the charts of children presenting with antitransglutaminase IgA titers above ten times upper limit of normal and consecutively diagnosed with celiac disease between 2010 and 2014, a time-period overlapping with ESPGHAN diagnostic guideline change in 2012. …”
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Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates by Elif Keles, Syed Yaseen Ali, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koc, Malcolm R. Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Chock, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert, Ulas Bagci

“…This tool has potential to support neonatologists to personalize therapies, and to optimize pharmacotherapy for renally cleared drugs.…”
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Mixed nontuberculous mycobacteria in an immunocompromised patient with progressive multifocal leukoencephalopathy by Dr Christoffel Opperman, Dr Janet Scott, Dr Aliasgar Esmail, Dr Sarishna Singh, Mr Yonas Ghebrekristos, Prof Rob warren, Dr Wynand Goosen

“…NTM mixtures present significant challenges due to its difficult-to-treat nature, lack of clear treatment guidelines, uncertain prognostic outcomes, and limited diagnostic modalities. …”
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Clinical-oriented 3D visualization and quantitative analysis of gingival thickness using convolutional neural networks and CBCT by Lan Yang, Lan Yang, ZiCheng Zhu, Yongshan Li, Jieying Huang, Xiaoli Wang, Haoran Zheng, Jiang Chen

“…The 3D visualization system successfully constructed a comprehensive spatial distribution model of gingival thickness, clearly demonstrating GT variations from alveolar ridge to labial aspect through gradient coloration. …”
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Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model by Huiying Zhang, Xin Liu, Zhen Li, Xiaotao Chang, Heping Sun, Hui Li, Jinyun Guo

“…Firstly, the accuracy of the algorithm is verified using the 2190-degree XGM2019e_2159 gravity field model and the 2159-degree EGM2008 gravity field model. …”
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Severe-hail detection with C-band dual-polarisation radars using convolutional neural networks by V. Forcadell, V. Forcadell, C. Augros, O. Caumont, O. Caumont, K. Dedieu, M. Ouradou, C. David, J. Figueras i Ventura, O. Laurantin, H. Al-Sakka

“…Currently, existing hail detection techniques have limited ability to clearly distinguish storms that produce severe hail from those that do not. …”
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Cellular hierarchy framework based on single-cell and bulk RNA sequencing reveals fatty acid metabolic biomarker MYDGF as a therapeutic target for ccRCC by Ning Wang, Ziyu Xu, Lina Zhang, Lina Zhang, Yanfang Lu, Yanfang Lu, Yanliang Wang, Yanliang Wang, Lei Yan, Lei Yan, Huixia Cao, Huixia Cao, Limeng Wang, Limeng Wang, Fengmin Shao, Fengmin Shao

“…Functional enrichment algorithms, including AUCell, UCell, singscore, ssGSEA, and AddModuleScore, along with hdWGCNA analysis, were used to identify hub genes influencing high FAM of ccRCC. …”
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The association between dietary diversity and patterns in Chinese university students with abnormal uterine bleeding: a cross-sectional study by Sha Yu, Lei Lai, Xiang Li, Lifeng Lei, Xuan Zhang, Leyi Liu, Peize Song, Xinyue Zhang, Yuxin Ma, Qianqian Lan, Yufang Liu, Yuanqun Chen, Yuping Tang, Zhiying Yu

“…Using a two-piecewise linear regression model and recursive algorithm, a nonlinear, reverse L-shaped relationship was identified between the “low fat plant-based” dietary pattern factor score (FAC4) and AUB, with an inflection point of 1.45. …”
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Comparative characteristics of the main phenotypes of systemic sclerosis by R. U. Shayakhmetova, L. P. Ananyeva, M. N. Starovoitova, O. V. Desinova, O. A. Koneva, O. B. Ovsyannikova, L. A. Garzanova, M. V. Cherkasova, R. T. Alekperov

“…Further study of anti-U1RNP-positive SS will be able to create a management algorithm and to more clearly define the risks and prognosis of the disease for this group of patients.…”
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Challenges and opportunities to minimize the dose in the neurovascular bundles during prostate radiotherapy by Victor J. Brand, Linda Rossi, Maaike T.W. Milder, Femke E. Froklage, Alison C. Tree, Mischa S. Hoogeman, Luca Incrocci

“…Further lowering NVB D0.1 cc in c-NVBsparing plans clearly correlated to lower target coverage. Non-coplanar c-NVBsparing plans maintained significantly higher target coverages for similar NVB D0.1 cc values, compared to coplanar plans. …”
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
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An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

“…Our study showed that the accuracy of the model is clearly dependent on the individual location of the sensor, with the ankle showing the highest weighted accuracy results of the three body sites. …”
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Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Base... by Shaima Dammas, Tillman Weyde, Katy Tapper, Gerasimos Spanakis, Anne Roefs, Emmanuel M Pothos

“…However, the palatability of these snacks means that people can sometimes struggle to reduce their intake. Machine learning algorithms could help in predicting the likely occurrence of HFSS snacking so that just-in-time adaptive interventions can be deployed. …”
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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision by Sang Wha Kim, Adams Hei Long Yuen, Hyun Woo Kim, Seyoung Lee, Sung Bin Lee, Young Min Lee, Won Joon Jung, Cherry Tsz Ching Poon, Dasol Park, Sangyun Kim, Sang Guen Kim, Jung Woo Kang, Jun Kwon, Su Jin Jo, Sib Sankar Giri, Hyunjung Park, Jong-pil Seo, Deok-Soo Kim, Byung Yeop Kim, Se Chang Park

“…The processed scans were reconstructed using bone reconstruction algorithms to enable precise craniofacial measurements. …”
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Does machine learning outperform logistic regression in predicting individual tree mortality? by Aitor Vázquez-Veloso, Astor Toraño Caicoya, Felipe Bravo, Peter Biber, Enno Uhl, Hans Pretzsch

“…We use Logistic binomial Regression as the reference algorithm for predicting individual tree mortality. …”
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Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF) by Muhammad Tajuddin Anwar, Syahroni Hidayat, Ahmat Adil

“…The results show that the application of the NGF-ICA algorithm can generate high-quality output images with average values of MSE, PSNR, SSIM, and increasing Entropy by 708, 19.95 dB, 0.87, and 0.45, respectively. …”
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The Application of Radiofrequency Waves in Supportive Treatment of Temporomandibular Disorders by M. Pihut, M. Górnicki, M. Orczykowska, E. Zarzecka, W. Ryniewicz, A. Gala

“…The search for new methods of supportive treatment of TMD is an important research direction due to the complex etiology of this disease and the lack of an explicit treatment algorithm. Conclusion. The results of our own research clearly indicate that the use of the radiofrequency waves brings pain relief and improvement of clinical parameters to a greater extent than in sonophoresis. …”
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