POLYPHARMACY IN MANAGMENT OF IN-PATIENTS WITH NOVEL CORONAVIRUS DISEASE (COVID-19) by V. I. Petrov, A. Yu. Ryazanova, N. S. Privaltseva, D. A. Nekrasov

“…Lack of drugs with proven effectiveness for treatment of COVID-19, worked-out treatment algorithms, a high mortality of patients in the hospitals led to polypragmasy, excessive prescribing of drugs in the hospitals. …”
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Community dynamics during de novo colonization of the nascent peri-implant sulcus by Tamires Pereira Dutra, Nicolas Robitaille, Khaled Altabtbaei, Shareef M. Dabdoub, Purnima S. Kumar

“…Our ability to prevent and treat peri-implantitis is hampered by a paucity of knowledge of how these biomes are acquired and the factors that engender normobiosis. …”
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Time-Frequency Transformation Technique with Various Mother Wavelets for DC Fault Analysis in HVDC Transmission Systems by Hasnain Raza chandio, Aslam Pervez Memon

“…Heavy current is generated by DC faults in HVDC (T/L), hence it is necessary to treat DC line faults in short, medium, and long HVDC (T/L) systems with different fault resistance. …”
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Precision autofocus in optical microscopy with liquid lenses controlled by deep reinforcement learning by Jing Zhang, Yong-feng Fu, Hao Shen, Quan Liu, Li-ning Sun, Li-guo Chen

“…The proposed study employs a custom-made liquid lens with a rapid zoom response, which is treated as an “agent.” Raw images are utilized as the “state”, with voltage adjustments representing the “actions.” …”
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Mortality after fluid bolus in children with shock due to sepsis or severe infection: a systematic review and meta-analysis. by Nathan Ford, Sally Hargreaves, Leslie Shanks

“…<h4>Methods</h4>We searched 3 databases for randomized trials, quasi-randomized trials, and controlled before-after studies assessing children with septic shock in which at least one group was treated with bolus fluids. The primary outcome was mortality at 48 hours. …”
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When Two are Better Than One: Synthesizing Heavily Unbalanced Data by Francisco Ferreira, Nuno Lourenco, Bruno Cabral, Joao Paulo Fernandes

“…Nowadays, data is king and if treated and used properly it promises to give organizations a competitive edge over rivals by enabling them to develop and design Intelligent Systems to improve their services. …”
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Heparin-Induced Hyperkalemia Assessment Utilizing the Naranjo Adverse Drug Reaction Probability Scale: A 40-Year Systematic Review by Divita Singh, Omnia A. E. A. Mesalhy, Michael J. Cawley

“…Unfractionated heparin- and low-molecular-weight heparin-induced hyperkalemia are side effects that have been reported in approximately 7 to 8% of heparin-treated patients. Algorithms, assessment tools, and decision aids are needed to assist in determining the causality of these adverse drug reactions. …”
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Deep learning for COVID-19 by X-ray images Analysis and Designing Diagnostic Application by Thamer Khaleel, Ali Kalakech

“…Since COVID-19 was just recently identified, there isn't much known about the illness, how to identify it, or how to treat it. This has increased interest in the creation of AI-based automated detection systems, and deep learning is a group of machine learning algorithms used in AI that aim to automatically extract key properties from a dataset. …”
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A redundant weight removal method inspired by specific immunotherapy for boosting transfer learning security by Qing Huang, Hongli Deng, Junxiang Wang, Tao Yang, Bochuan Zheng

“…Currently, redundant weights are removed mainly through pruning algorithms designed by correlating student data with teacher model nodes. …”
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Preliminary Study on Real-Time Phonocardiogram Signal Acquisition and Analysis Using Machine Learning and IoMT for Digital Stethoscope by M. Kalimuthu, C. Hemanth

“…Advanced signal segmentation and classification were performed using machine learning algorithms, including K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). …”
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Glaucoma detection from retinal fundus images using graph convolution based multi-task model by Satyabrata Lenka, Zefree Lazarus Mayaluri, Ganapati Panda

“…Glaucoma is an abnormality in the eye condition that, if not treated within a safe time limit, can result in visual loss. …”
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Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

“…By employing various machine learning algorithms, we pinpointed eight pivotal genes linked to PCD, specifically FLT3, SORL1, CD8A, BCL2L1, COL13A1, MPG, DYRK2 and CAMK2B. …”
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Enhancing needle puncture detection using high-pass filtering and diffuse reflectance by Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Anupam Bisht, Linhui Yu, Kartikeya Murari, Kartikeya Murari, Kartikeya Murari, Garnette R. Sutherland, Garnette R. Sutherland, David T. Westwick, Katherine J. Kuchenbecker

“…In pre-hospital settings, tension pneumothorax is treated by venting the pleural cavity via a needle introduced through the chest wall. …”
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Multi-omics analysis and experiments uncover the link between cancer intrinsic drivers, stemness, and immunotherapy in ovarian cancer with validation in a pan-cancer census by Yilin Li, Cen Chen, Xiaoyu Ji, Ningxiao Jiang, Fei Wang, Xiangqian Gao, Weiwei Chen, Qiang Tang, Yan Li, Shinan Zhang, Gaofeng Qin, Yingjiang Xu, Yanlin Wang, Lingwen Kong, Lei Han, Jie Mei

“…A novel cancer stem cell index (CSCI) was developed and validated using multiple advanced algorithms and large-scale datasets, as well as corresponding clinical features, including 14 OV transcriptomic datasets, 7 pan-cancer ICI transcriptomic cohorts and one melanoma scRNA dataset derived from PD-1 treated patients.ResultsChromosomal 20q gain, 8q gain, and 5q loss have been identified as ovarian cancer-specific driving variations. …”
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Clinical characteristics of adrenal crisis in 371 adult patients with glucocorticoid-induced adrenal insufficiency by Ying Qiu, Ying Qiu, Ying Luo, Xinqian Geng, Yujian Li, Yujian Li, Yunhua Feng, Ying Yang

“…Among the prediction models constructed by machine learning algorithms, logistic regression model had the best prediction effect.ConclusionThis study investigated the clinical characteristics of AC in GIAI patients. …”
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Optimizing Immunotherapy: The Synergy of Immune Checkpoint Inhibitors with Artificial Intelligence in Melanoma Treatment by Mohammad Saleem, Abigail E. Watson, Aisha Anwaar, Ahmad Omar Jasser, Nabiha Yusuf

“…A machine learning-based approach was able to assess the risk-benefit ratio for the prediction of immune-related adverse events (irAEs) using the electronic health record (EHR) data. Deep learning algorithms demonstrated high accuracy in tumor microenvironment analysis, including tumor region identification and lymphocyte detection. …”
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Course and Outcomes of Acute Coronary Syndrome in the Presence of New Coronavirus Infection COVID-19 by L. S. Kokov, S. S. Petrikov, M. M. Pisankina, E. A. Dashevsky, K. A. Popugayev, M. V. Parkhomenko, I. M. Kuzmina, I. S. Babayan, K. I. Vorontsova, L. T. Khamidova, E. V. Klychnikova, S. P. Goncharov, A. A. Spassky, A. I. Kramarenko

“…A poor prognostic value of low left ventricular ejection fraction in patients with COVID-19 disease has been described.Conclusions The development of acute coronary syndrome in the course of COVID-19 significantly worsens the prognosis of the disease, which requires the development of algorithms for providing medical care to patients in this category, as well as maximum vigilance in their treatment.…”
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Enhancing Last-Mile Logistics: AI-Driven Fleet Optimization, Mixed Reality, and Large Language Model Assistants for Warehouse Operations by Saverio Ieva, Ivano Bilenchi, Filippo Gramegna, Agnese Pinto, Floriano Scioscia, Michele Ruta, Giuseppe Loseto

“…The framework prioritizes the customizability of AI algorithms and real-time information sharing between stakeholders. …”
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A novel ensemble model for multi-temporal forest vegetation classification: integrating spectral-temporal features and topographic constraints by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang

“…While remote sensing combined with modeling algorithms enables efficient forest monitoring, existing approaches frequently treat multi-temporal imagery as one-dimensional sequences, capturing only temporal trends within spectral bands and neglecting the joint spectral-temporal dynamics essential for fine-scale forest classification. …”
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Comparative assessment of line probe assays and targeted next-generation sequencing in drug-resistant tuberculosis diagnosisResearch in context by Giovanna Carpi, Marva Seifert, Andres De la Rossa, Swapna Uplekar, Camilla Rodrigues, Nestani Tukvadze, Shaheed V. Omar, Anita Suresh, Timothy C. Rodwell, Rebecca E. Colman

“…Funding: Support for the Seq&Treat project was provided through funding from Unitaid (2019-32-FIND MDR).…”
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