Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational... by Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

“…Using appropriate algorithmic techniques, the study expects the model to have a sensitivity of >80% and a positive predicted value of >70%. …”
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Machine Learning Framework for Early Detection of Chronic Kidney Disease Stages Using Optimized Estimated Glomerular Filtration Rate by Samit Kumar Ghosh, Namareq Widatalla, Ahsan H. Khandoker

“…However, eGFR calculations may be inaccurate when applied to diverse patient populations. …”
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Peripherex Home Visual Field Demonstrates High Test-Retest Reliability, Validity by Schweitzer J, Ibach M, Berdahl J, Daoud M, Daoud YA, Kempinski Y, Goldberg JL

“…These data support in-home use of the PRX VFT by the eye care provider for screening and monitoring in glaucoma, and may be extended to the screening and monitoring of other retinal, optic nerve and neurological diseases.Keywords: visual field test, glaucoma, home healthcare, prospective clinical trial…”
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Explainable Boosting Machines Identify Key Metabolomic Biomarkers in Rheumatoid Arthritis by Fatma Hilal Yagin, Cemil Colak, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

“…EBM, LightGBM, and AdaBoost algorithms were applied to generate a discriminatory model between RA and controls. …”
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Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study by Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, Seogsong Jeong, Hwamin Lee

“…Traditional screening methods rely on laboratory tests and specialized assessments, which may not be readily accessible in routine primary care and community settings. …”
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UBE2N as a novel prognostic and therapeutic biomarker of lung adenocarcinoma by Haofeng Yin, Yibo Xue, Chen Wang, Yanqin Wu, Yuchen Guo, Chunzhen Li, Yunyan Zhang, Shulei Yin, Tiejun Zhao

“…The role of UBE2N in predicting tumor therapeutic susceptibility was characterized using bioinformatics algorithms combined with publicly available CRISPR screening datasets and immunotherapy cohorts. …”
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Identification and Validation of Key Genes Involved in the Coupling of Mitochondria-Associated Endoplasmic Reticulum Membrane in Hemorrhoidal Disease by Mao L, Rao Z, Wang Y, Yang J, He J, Zheng Z, Chen L

“…Additionally, CIBERSORT algorithms were utilized to evaluate immune cell infiltration abundance, differences, and correlations in the samples. …”
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Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response by Chi Zhou, Qian Qiu, Xinyu Liu, Tiantian Zhang, Leilei Liang, Yihang Yuan, Yufo Chen, Weijie Sun

“…More importantly, we conducted an in-depth study on MIR4713HG, which may become an important therapeutic target in CRC.…”
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ATP6V0A4 as a novel prognostic biomarker and potential therapeutic target in oral squamous cell carcinoma by Xiaopu Gao, Jiamin Zhou, Yu Qiao, Chuyin Lin, Guanxiong Zhang, Qiuyu Wu, Zhikang Su, Qianji Zhang, Songkai Huang

“…This discovery provides novel insights and potential strategies for the development of combination therapy regimens for OSCC. Conclusions ATP6V0A4 may serve as a novel prognostic biomarker and potential therapeutic target in oral squamous cell carcinoma.…”
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LEVELS OF PATIENTS EXPOSURE AND A POTENTIAL FOR OPTIMIZATION OF THE PET DIAGNOSTICS IN THE RUSSIAN FEDERATION by L. A. Chipiga, I. A. Zvonova, D. V. Ryzhkova, M. A. Menkov, М. B. Dolgushin

“…For the multiphase computed tomography scan effective doses may be increased to: 15 mSv for head examinations, 25 – 30 mSv for whole body examinations and 35 – 40 mSv for myocardial examinations. …”
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Exploration of biomarkers for predicting the prognosis of patients with diffuse large B-cell lymphoma by machine-learning analysis by Shifen Wang, Hong Tao, Xingyun Zhao, Siwen Wu, Chunwei Yang, Yuanfei Shi, Zhenshu Xu, Dawei Cui

“…Moreover, four hub genes (CXCL9, CCL18, C1QA and CTSC) were significantly screened from the three datasets using RF algorithms. They were closely correlated with the overall survival of DLBCL patients. …”
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Identifying mating events of group-housed broiler breeders via bio-inspired deep learning models by Venkat U.C. Bodempudi, Guoming Li, J. Hunter Mason, Jeanna L. Wilson, Tianming Liu, Khaled M. Rasheed

“…During mating, a rooster mounts a hen, which may result in the hen overlapping or disappearing from top-view of a vision system. …”
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Exploring the Potential Regulatory Mechanisms of Mitophagy in Ischemic Cardiomyopathy by Li Z, Kong J, Xi S, Jin Z, Yang F, Zhu Z, Liu L

“…Then, biomarkers were identified through machine learning algorithms and Receiver Operating Characteristic curve (ROC) analysis. …”
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Exploration of Epigenetic Mechanisms and Biomarkers Among Patients with Very-Late-Onset Schizophrenia-Like Psychosis by Gan Y, Yue W, Sun J, Yang D, Fang C, Zhou Z, Yin J, Zhou H

“…We prioritized key methylation sites through integrated analysis of methylation quantitative trait loci (meQTL), linkage disequilibrium (LD) patterns, and blood-brain methylation correlations. Machine learning algorithms generated diagnostic models, with classification performance evaluated using Area Under the Curve (AUC) metrics.Results: Analysis revealed distinct DNA methylation signatures in VLOSLP patients compared to controls. …”
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Energy-Aware and Reliability-Based Localization-Free Cooperative Acoustic Wireless Sensor Networks by Junaid Qadir, Ubaid Ullah, Beatriz Sainz-De-Abajo, Begona Garcia Zapirain, Goncalo Marques, Isabel de la Torre Diez

“…However, the EPACA protocol may not always guarantee packet reliability, as it delivers packets over a single path. …”
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Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recog... by Andrea P Garzón-Partida, Kimberly Magaña-Plascencia, Diana Emilia Martínez-Fernández, Joaquín García-Estrada, Sonia Luquin, David Fernández-Quezada

“…ConclusionsAs shown in recent studies, accessible and affordable wearables, like commercial smartwatches, combined with psychological, demographic, and emotional state data, used with a machine learning predictive model, may be able to be used as tools to enhance SUD rehabilitation and prevent relapse. …”
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Identification of novel markers for neuroblastoma immunoclustering using machine learning by Longguo Zhang, Longguo Zhang, Huixin Li, Huixin Li, Fangyan Sun, Fangyan Sun, Qiuping Wu, Qiuping Wu, Leigang Jin, Leigang Jin, Aimin Xu, Aimin Xu, Jiarui Chen, Ranyao Yang, Ranyao Yang, Ranyao Yang

“…Three machine learning algorithms (LASSO, SVM-RFE, and Random Forest) were used to screen biomarkers and synthesize their function in neuroblastoma.ResultsIn the training set, there were 362 samples in the immunity_L group and 136 samples in the immunity_H group, with differences in age, MYCN status, etc. …”
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Updated ACMG/AMP specifications for variant interpretation and gene curations from the ClinGen RASopathy expert panels by Emma H. Wilcox, Ryan F. Webb, Kezang C. Tshering, Madeline Y. Hughes, Hélène Cavé, Marina T. DiStefano, Hannah Dziadzio, Kate Garber, Bruce D. Gelb, Karen W. Gripp, Shoji Ichikawa, Jennifer A. Lee, Hannah McCurry, Marco Tartaglia, Bradley Williams, Martin Zenker, Lisa M. Vincent, Heather Mason-Suares, Bradley Williams, Bruce Gelb, Hannah Dziadzio, Heather Mason-Suares, Hélène Cavé, Jennifer Lee, Karen Gripp, Kat Lafferty, Kezang Tshering, Lisa Vincent, Luis Enrique Gomez, Marco Tartaglia, Marina DiStefano, Martin Zenker, Reza Ahmadian, Ryan Webb, Shoji Ichikawa

“…Most of these specifications may also be used as a baseline for other rare Mendelian disorders.…”
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Interleukin-4 and specific IgE to oranges levels study in persons with allergic anamnesis by A. S. Prilutskiy, N. B. Abylgazinova, K. Y. Tkachenko

“…The data obtained from the study might be useful both in public health and in further research in order to improve diagnostic and treatment algorithms in orange sensitized patients.…”
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Curve interpolation using algebraic hyperbolic Pythagorean Hodograph curves of order four(四阶代数双曲毕达哥拉斯速端曲线插值方法) by 刘昊明(LIU Haoming), 徐帝纳(XU Dina), 方林聪(FANG Lincong), 李毓君(LI Yujun)

“…Regarding the C1 Hermite interpolation, we convert the problem of constructing AHPH curves into finding solutions of a complex univariate quadratic equation on a control point. The main idea is to adopt the complex representation of planar parametric curves and apply the necessary and sufficient conditions on control polygons of AHPH curves. …”
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