IMMUNOPATHOGENESIS OF MYASTHENIA GRAVIS (REVIEW) by E. D. Gasymly

“…High clinical heterogeneity of autoimmune myasthenia, initiating the flow, increases the urgency of studying its pathogenesis, searching for specific methods of marker diagnostics, developing algorithms for predicting the features of the development of the disease. …”
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Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks by Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie

“…After all the features were put into a complete matrix, the selection algorithms chose the most essential ones for classifying the data. …”
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Case of acute drug-induced hepatitis after halothane anesthesia by I. Yu. Pirogova, Ye. V. Berestova, O. Yu. Bastrikov, Ye. B. Kovaleva, T. P. Petukhova, M. V. Guseva, I. A. Gubina, I. V. Rezepin, S. P. Sinitsyn

“…Application of differential diagnostics algorithms and prognostic scales at drug-induced liver disease helps clinician to choose proper treatment approach at specific stage.…”
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Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…The system includes a combination of real-time continuous glucose monitoring from a continuous glucose monitoring device and a control algorithm to direct insulin delivery through an insulin pump. …”
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Evaluation of reference genes for qPCR in human liver and kidney tissue from individuals with obesity by Aleksandra Romaniuk-Drapała, Katarzyna Kosicka-Noworzyń, Yi-Hua Sheng, Christine Yohn, Luigi Brunetti, Leonid Kagan

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Solid breast tumors phantom emulating oxy and deoxyhemoglobin concentrations for near infrared imaging. by María Victoria Waks-Serra, Demián Augusto Vera, Nicolás Abel Carbone, Héctor Alfredo García, Pamela Alejandra Pardini, Juan Antonio Pomarico, Daniela Inés Iriarte

“…The use of phantoms has proven to be a very powerful way to evaluate different experimental approaches as well as to test possible diagnostics equipment. …”
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The Genetic Puzzle of the Stress-Induced Cardiomyopathy (Takotsubo Syndrome): State of Art and Future Perspectives by Domenico Lio, Letizia Scola, Giusi Irma Forte, Loredana Vaccarino, Manuela Bova, Patrizia Di Gangi, Giorgia Santini, Daniela di Lisi, Cristina Madaudo, Giuseppina Novo

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Exploiting K-Space in Magnetic Resonance Imaging Diagnosis: Dual-Path Attention Fusion for K-Space Global and Image Local Features by Congchao Bian, Can Hu, Ning Cao

“…The findings indicate robust performance across different datasets, highlighting strong generalizability and favorable algorithmic complexity. …”
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Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

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RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

“…The high mortality rate in lung cancer is in part due to late-stage diagnostics as well as spread of cancer-cells to organs and tissues by metastasis. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Results There were no differences between groups in the outcomes measured, which included patient distress, eating disorder symptoms, quality of life, social and work adjustment and carer distress and skills. …”
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Security monitoring via sound analysis and voice identification with artificial intelligence by Balabanova Ivelina, Sidorova Kristina, Georgiev Georgi

“…The neural architectures were trained with Scaled Gradient Descent (SCG) and Levenberg Marquardt (LM) algorithms, using different transfer functions in the output structural layers. …”
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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

“…These strategies generated more robust and accurate models, with the multilayer perceptron regressor (MLP regressor) and extreme gradient boosting (XGBoost) algorithms standing out. On the first sampling date, XGBoost achieved an R2 of 86.98 %, being the highest. …”
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Intra- and peritumoral radiomics nomogram based on DCE-MRI for the early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer by Yun Zhu, Shuni Zhang, Wei Wei, Li Yang, Lingling Wang, Ying Wang, Ye Fan, Haitao Sun, Zongyu Xie

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A gut instinct for childhood leukemia prevention: microbiome-targeting recommendations aimed at parents and caregivers by Ersen Kameri, Ersen Kameri, Ersen Kameri, Vera Helena Jepsen, Pawel Stachura, Pawel Stachura, Nadine Rüchel, Rigveda Bhave, Leticia Benitez, Fatima Crispi, Eduard Gratacos, Nico Dragano, Stefan Janssen, Arndt Borkhardt, Arndt Borkhardt, Aleksandra Pandyra, Aleksandra Pandyra, Aleksandra Pandyra, Gesine Kögler, Gesine Kögler, Ute Fischer, Ute Fischer, Ute Fischer

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Prevalence of Rocahepevirus ratti (rat hepatitis E virus) in humans and rats in China by Xiuji Cui, Jianwen Situ, Ting Tang, Zhiyu Li, Dongzhui Chen, Stanley Siu-Fung Ho, Hiu-Laam Chung, Tsz-Chung Wong, Yonghao Liang, Chaowen Deng, Yongxian Su, Huijun Cai, Simon Kam-Fai Lo, Shiyao Huang, Sheng Zeng, Liyuan Zhang, Yunchun Chen, Shusheng Wu, Estie Hon-Kiu Shun, Nicholas Foo-Siong Chew, James Yiu-Hung Tsoi, Kelvin Hon-Yin Lo, Fanfan Xing, Vincent Chi-Chung Cheng, Kwok-Yung Yuen, Feifei Yin, Jasper Fuk-Woo Chan, Siddharth Sridhar

“…Spillover viremic infections in individuals with underlying liver disease or immunosuppression were closely linked to epizootic rHEV strains circulating in rodents. Physicians and diagnostic laboratories should incorporate rHEV testing in algorithms for viral hepatitis while policymakers should consider rHEV surveillance in rodents to guide disinfestation efforts.…”
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Perceptual objective evaluation for multimodal medical image fusion by Chuangeng Tian, Juyuan Zhang, Lu Tang

“…Multimodal medical Image fusion (MMIF) has received widespread attention due to its promising application in clinical diagnostics and treatment. Due to the inherent limitations of fusion algorithms, the quality of obtained medical fused images (MFI) varies significantly. …”
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Image-based maturity detection for selective cauliflower harvesting in field condition by Ajay Kushwah, P.K. Sharma, H.L. Kushwaha, Brij Bihari Sharma, Naseeb Singh, Ramineni Harsha Nag, Manojit Chowdhury, Nrusingh Charan Pradhan, Gopal Carpenter, Silpa Mandal, Ali Salem

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CdZnTe- and TlBr-detectors response simulation for registration of the mixed beta- and gamma-radiation by A. I. Skrypnyk

“…Firstly, DFT properties are accurate, have their own specificity and significantly differ from the properties of the Fourier transform of continuous signals. …”
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The invariance of current energy fourier spectrum of discrete real signals on finite intervals by V. A. Ponomarev, O. V. Ponomareva

“…Firstly, DFT properties are accurate, have their own specificity and significantly differ from the properties of the Fourier transform of continuous signals. …”
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