Tiny dLIF: a dendritic spiking neural network enabling a time-domain energy-efficient seizure detection system by Luis Fernando Herbozo Contreras, Leping Yu, Zhaojing Huang, Ziyao Zhang, Armin Nikpour, Omid Kavehei

“…Drawing inspiration from brain architecture, we investigate biologically plausible algorithms, specifically emphasizing time-domain inputs with low computational overhead. …”
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A High Resolution Melting Analysis (HRM) PCR assay for the detection and identification of Old World Leishmania species. by Yusr Saadi-Ben Aoun, Hejer Souguir, Hamed Chouaieb, Mongia Kraiem, Insaf Bel Hadj Ali, Ahmed S Chakroun, Florian Noguier, Akila Fathallah-Mili, David Piquemal, Ikram Guizani

“…Its integration into molecular diagnostic algorithms for CL or in eco-epidemiological studies holds promise for improving disease management and control.…”
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CLINICAL AND LABORATORY ASPECTS OF DETECTING SPECIFIC IgE ANTIBODIES TO COW’S MILK AND ITS COMPONENTS by N. A. Alkhutova, N. A. Kovyazina, O. L. Zhizhina

“…Moreover, a variety of milk antigens determines different clinical course of this allergic condition and brings additional difficulties to its diagnostics and treatment. …”
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Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review by Umile Giuseppe Longo, Alberto Lalli, Guido Nicodemi, Matteo Giuseppe Pisani, Alessandro De Sire, Pieter D'Hooghe, Ara Nazarian, Jacob F. Oeding, Balint Zsidai, Kristian Samuelsson

“…Studies with insufficient data regarding the output variable used to assess the reliability of the ML model, those applying deterministic algorithms, unrelated topics, protocol studies, and other systematic reviews were excluded from the final synthesis. …”
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Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound by Hsin-Hung Chou, Yi-Chung Chang, Wan-Ching Lien, Lung-Chun Lin, Xing-Zheng Lin, Ting-En Hsu, Yueh-Ping Liu, Li Liu, Yen-Ting Chan, Feng-Sen Kuan

“…Point-of-care ultrasound (PoCUS) is a valuable diagnostic tool for pericardial effusion (PCE). However, the time constraints for trainees and experts pose significant barriers to PoCUS learning. …”
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Characteristics of gut and lung microbiota in patients with lung masses and their relationship with clinical features by Yanping Yang, Jiacheng Shen, Sulan Wei, Maosong Ye, Xing Zhao, Jian Zhou, Lin Tong, Jie Hu, Yuanlin Song, Shengdi Wu, Nuo Xu

“…We explored the distinct composition of the gut and lung microbiota and their associations with clinical features. The diagnostic models were constructed using microbial features identified through two approaches: random forest algorithm with five-fold cross-validation and comparative analysis of significantly differential taxa. …”
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Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification by Jamal Mustafa Al-Tuwaijari, Naeem Th. Yousir, Nafea Ali Majeed Alhammad, Salama Mostafa

“…However, due to the variety of skin cancer tumour shapes and colours, deep learning algorithms misclassify whether a tumour is cancerous or benign. …”
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Melanoma Skin Lesion Classification Using Neural Networks: A systematic review by ahmed hammo, Mohammed Younis

“…It is driven by researchers' desire to use computers to obtain accurate diagnostic systems to help diagnose and detect this disease early. …”
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An enhanced deep learning model for accurate classification of ovarian cancer from histopathological images by Anik Kumar Saha, Muntezar Rabbani, Anika Saba Ibte Sum, M. F. Mridha, Md Mohsin Kabir

“…The study examines the most recent Ovarian Cancer classification algorithms in this context to increase prognosis and diagnostic accuracy; our proposed OvCan-FIND model outperforms base models with an exceptional accuracy of 99.74%. …”
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Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU by Laura López-Viñas, Jose L. Ayala, Francisco Javier Pardo Moreno

“…The automation of these diagnostic tools could facilitate early seizure detection.…”
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Community-acquired pneumonia. Diagnosis, treatment approaches by A. A. Anderzhanova, Yu. A. Meleshkina

“…The article presents current data on the prevalence and etiology of community-acquired pneumonia, shows the contribution of each of the possible pathogens to the structure of the disease. The diagnostic criteria for pneumonia are given. The main algorithms for assessing the severity of pneumonia and the prognosis of the disease using different scales: CURB-65 / CRB-65, PORT (PSI), are described. …”
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Methods of early diagnosis and pharmacological prevention of pancreatitis after endoscopic papillosphincterotomy by T. R. Spiridonov, E. D. Novikova, T. O. El'cov

“…This complication is supposed to be based on mechanical, chemical, hydrostatic, enzymatic and thermal impact on pancreatic ducts and parenchyma. According to different literature data, the incidence of post-EPST pancreatitis (PEP) varies from 30 to 40 %, and the mortality rate is 2–10 %.The aim of the investigation was to expand information about peculiarities of early diagnostics and prevention of post-EST pancreatitis at the present stage.Materials and methods. …”
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Impact of the STFT Window Size on Classification of Grain-Oriented Electrical Steels from Barkhausen Noise Time–Frequency Spectrograms via Deep CNNs by Michal Maciusowicz, Grzegorz Psuj

“…Due to the automation of the search for diagnostic patterns, the stage of selecting transformation parameters becomes extremely important in the process of preparing training data for evaluation algorithms. …”
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Operational Identification of Resistances of Wires of 380 V Distribution Networks by Automated Accounting Systems by M. I. Danilov, I. G. Romanenko

“…A method (algorithm) is proposed that allows determining unknown, unequal complex resistances of inter-subscriber sections of the distribution network. …”
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Making predictions for overhead power lines applying predictive analytics by Yu. N. Kondrashova, A. M. Tretyakovͬ, A. V. Shalimov

“…Power transformers, electric machines and transmission lines of different voltage levels are considered the main electrical equipment. …”
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An enhanced protection scheme for power transformers integrating alpha plane analysis by Ahmed S. Sayed, Ehab M. Nabil, Almoataz Y. Abdelaziz, Mohit Bajaj, Ievgen Zaitsev

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A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Developme... by Xiaojie Jin, Yanru Wang, Jiarui Wang, Qian Gao, Yuhan Huang, Lingyu Shao, Jiali Zhao, Jintian Li, Ling Li, Zhiming Zhang, Shuyan Li, Yongqi Liu

“…ObjectiveThis study aims to construct a diagnostic model for differentiating cold and hot syndromes in viral pneumonia by integrating TCM and modern medical features using machine learning methods. …”
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Identification of Anoikis-Related Genes in Chronic Kidney Disease Based on Bioinformatics Analysis Combined with Experimental Validation by Liu H, Mei M, Zhong H, Lin S, Luo J, Huang S, Zhou J

“…Notably, 6 immune cell types exhibited significant differences (P< 0.05) across subgroups with distinct immune characteristics. …”
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The evaluation of the hemodynamically significant stenosis of the carotid arteries: analyzing the results from the duplex scanning of vessels, from the computed tomographic and the... by Nataly S. Nosenko, Ekaterina M. Nosenko, Daria S. Alemasova, Tatiana V. Dedy

“…The analysis of the reasons of discrepancies when measuring the degree of stenosis in the orifices of the internal carotid arteries from the results of duplex scanning and computed tomographic angiography has allowed for isolating three main groups: the human factor (operator-dependent, 30.4%), the anatomic factor (23.2%) and the differences in descriptions (46.4%). CONCLUSION: Upon examining the patients, it is necessary to strictly follow the algorithm of diagnosing the stenoses of the carotid arteries, beginning from the duplex scanning of the extracranial segments of brachiocephalic arteries as the most accessible and highly informative method. …”
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A Machine-Learning Model for the Prediction of Triple-Negative Breast Cancer Based on Multiparameter MRI by Cai Y, Li Y, Wang W, Zhou Y, Wang J, Zhang L, Lu H

“…In the primary cohort, univariate analysis, logistic regression analysis and Boruta algorithm were used to determine the independent predictors for TNBC and non-TNBC. …”
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