Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…Detecting AFM1 in milk samples using conventional methods is often time-consuming and may not provide real-time monitoring capabilities. …”
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Prediction of lymph node metastasis in papillary thyroid carcinoma using non-contrast CT-based radiomics and deep learning with thyroid lobe segmentation: A dual-center study by Hao Wang, Xuan Wang, Yusheng Du, You Wang, Zhuojie Bai, Di Wu, Wuliang Tang, Hanling Zeng, Jing Tao, Jian He

“…The cohort was divided into training (n = 189) and validation (n = 82) cohorts, with additional temporal (n = 59 lobes, Center 1, May–August 2024) and external (n = 66 lobes, Center 2) test cohorts. …”
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Fast-converging decentralized alternating direction method of multipliers for consensus optimization by Jeannie He, Ming Xiao, Mikael Skoglund

“…When applied to problems such as consensus optimization in distributed systems, ADMM is often implemented in a centralized manner, which may be challenging due to its dependency on the location and capacity of the node. …”
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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

“…Nevertheless, MHC presentation of neoantigens is not random but follows certain rules, and the efficiency of neoantigen detection may be further improved with technological innovations. …”
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Pre-ablation and Post-ablation Factors Influencing the Prognosis of Patients with Electrical Storm Treated by Radiofrequency Catheter Ablation: An Update by Cosmin Cojocaru, Maria Dorobanțu, Radu Vătășescu

“…However, this effect is highly influenced by multiple independently acting factors, which, if identified and addressed, may allow a more tailored management to each particular case to improve results. …”
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Daily Measurements from Cardiac Implantable Electronic Devices to Assess Health Status by Eva Roseboom, Fenna Daniëls, Michiel Rienstra, Alexander H. Maass

“…In addition, remote monitoring of daily CIED measurements may accommodate for the prevention of the deterioration of clinical conditions. …”
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A comprehensive review on smart manufacturing using machine learning applicable to fused deposition modeling by Swapnil Deokar, Narendra Kumar, Ravi Pratap Singh

“…The process parameters may be monitored using high end computational tools. …”
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Exploration the role of pro-inflammatory fibroblasts and related markers in periodontitis: combing with scRNA-seq and bulk-seq data by Erli Wu, Feihan Gu, Qiangqiang Zhuo, Ziyang Gao, Yu Zhang, Jingjing Li, Xuan Yin, Weimin Bao, Xianqing Zhou, Feng Liang, Shouxiang Yang, Yuanyin Wang, Qingqing Wang, Qingqing Wang, Wei Shao, Wei Shao

“…Differential gene analysis, WGCNA, and machine learning algorithms identified two genes (MME and TSPAN11) as potential therapeutic targets for periodontitis. …”
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Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia by Caitlin A. Finney, David A. Brown, Artur Shvetcov

“…Tree-based machine learning algorithms and artificial neural networks were used. …”
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Parametric matrix models by Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee

“…Parametric matrix models can be efficiently trained from empirical data, and the equations may use algebraic, differential, or integral relations. …”
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Pinna anthropometry in sex estimation: a machine learning-based approach by Emre Söylemez, Suna Tokgöz Yılmaz

“…Our study shows that ear prints may have potential use in forensic identification. …”
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FGA Temperature Control for Incubating Egg by Ismail Yusuf, Yusram Yusuf, Nur Iksan

“…This paper investigates the use of genetic algorithms (GA) in the design and implementation of fuzzy logic controllers (FLC) for incubating egg. …”
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Unified Mathematical Framework for Slicing and Symmetry Reduction over Event Structures by Xinyan Gao, Yingcai Ding, Wenbo Liu, Kaidi Zheng, Siyu Huang, Ning Zhou, Dakui Li

“…In this paper, we mainly address theoretical and algorithmic aspects for nonclassical slicing and symmetry reduction over prime event structures. …”
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Prevalence and genetic profiles of isoniazid resistance in tuberculosis patients: A multicountry analysis of cross-sectional data. by Anna S Dean, Matteo Zignol, Andrea Maurizio Cabibbe, Dennis Falzon, Philippe Glaziou, Daniela Maria Cirillo, Claudio U Köser, Lice Y Gonzalez-Angulo, Olga Tosas-Auget, Nazir Ismail, Sabira Tahseen, Maria Cecilia G Ama, Alena Skrahina, Natavan Alikhanova, S M Mostofa Kamal, Katherine Floyd

“…For 6.8% (95% CI 5.4%-8.4%) of patients, mutations occurred in the inhA promoter alone, for whom an increased dose of isoniazid may be considered. The main limitations of this study are that most analyses were performed at the national rather than individual patient level and that the quality of laboratory testing may vary between countries.…”
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Pathway-based cancer transcriptome deciphers a high-resolution intrinsic heterogeneity within bladder cancer classification by Zhan Wang, Zhaokai Zhou, Shuai Yang, Zhengrui Li, Run Shi, Ruizhi Wang, Kui Liu, Xiaojuan Tang, Qi Li

“…Targeted therapy against BEXO2 may improve the prognosis of BLCA patients by regulating mitochondria-related metabolic disorders.…”
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An overview of artificial intelligence based automated diagnosis in paediatric dentistry by Suba B. Rajinikanth, Densingh Samuel Raj Rajkumar, Akshay Rajinikanth, Ponsekar Abraham Anandhapandian, Bhuvaneswarri J.

“…In machine learning a datasets are used for training diagnostic algorithms. This review comprehensively explains the applications of AI in the diagnosis in paediatric dentistry. …”
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Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach by Mariani Mariani, Dwi Shinta Angreni, Sri Khaerawati Nur, Rinianty Rinianty, Deni Luvi Jayanto

“…Moreover, discussions on model limitations elucidate areas for enhancement, suggesting future avenues including the adoption of more sophisticated algorithms and improved data processing techniques. …”
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Machine Learning Techniques for Kinship Verification: A Review by Olivia Oraha, Yusra Mohammad

“…Each part of the human body may have a significant embedded information (features) that extracted and analyzed for verification or recognition and classification for that individual. …”
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Forensic Product Examinations in the System of Forensic Institutions of the Russian Ministry of Justice: Current State and Future Prospects by A. A. Selivanov

“…Casework examples cover a variety of Product groups: clothing and footwear, fabrics, vehicle spare parts and components, gems and non-precious stones, art and antiques, coins, equipment, and weapons. Algorithms are offered for typical tasks that may be completed in the course of a forensic Product investigation in order to establish the following facts: the possibility of placing an item in specified storage conditions; compliance (non-compliance) of actual storage conditions with standards and specifications; the degree of loss in quality and value of an item, taking into account its actual state or period of operation; the market value of equipment leasehold rights. …”
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Vision-Based Branch Road Detection for Intersection Navigation in Unstructured Environment Using Multi-Task Network by Joonwoo Ahn, Yangwoo Lee, Minsoo Kim, Jaeheung Park

“…Autonomous vehicles need a driving method to be less dependent on localization data to navigate intersections in unstructured environments because these data may not be accurate in such environments. Methods of distinguishing branch roads existing at intersections using vision and applying them to intersection navigation have been studied. …”
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