Increased Temporal Variability of Gait in ASD: A Motion Capture and Machine Learning Analysis by Katharine Goldthorp, Benn Henderson, Pratheepan Yogarajah, Bryan Gardiner, Thomas Martin McGinnity, Brad Nicholas, Dawn C. Wimpory

“…The temporal analysis of gait with machine learning algorithms may be useful as a future ASD diagnostic aid.…”
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Update Management of Atopic Dermatitis by Indri Widya Sari, Sarah Diba, Nopriyati, Athuf Thaha, Raden Pamudji, Fitriani

“…Approach the disease by performing etiopathogenesis algorithms, clinical manifestations, diagnosis, and treatment. …”
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Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0 by Mohsin Ali, Abdul Razaque, Joon Yoo, Uskenbayeva Raissa Kabievna, Aiman Moldagulova, Satybaldiyeva Ryskhan, Kalpeyeva Zhuldyz, Aizhan Kassymova

“…On the other hand, the capabilities of AI-driven credit assessment algorithms enable more precise, effective, and customized credit choices that are specifically tailored to meet the unique financial profiles of manufacturers and importers. …”
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Re-Estimating GEDI Ground Elevation Using Deep Learning: Impacts on Canopy Height and Aboveground Biomass by Rei Mitsuhashi, Yoshito Sawada, Ken Tsutsui, Hidetake Hirayama, Tadashi Imai, Taishi Sumita, Koji Kajiwara, Yoshiaki Honda

“…The broader application of this method may improve global carbon cycle understanding and climate models.…”
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Assessing the association of multi-environmental chemical exposures on metabolic syndrome: A machine learning approach by Yehoon Jo, Mi-Yeon Shin, Sungkyoon Kim

“…Emerging evidence suggests that environmental chemical exposures may play a significant role in the development of MetS by disrupting metabolic pathways. …”
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Health system costs of providing outpatient care for diabetes in people with TB in the Philippines by T. Yamanaka, M.C. Castro, J.P. Ferrer, J.A. Solon, S.E. Cox, Y.V. Laurence, A. Vassall

“…The cost per case detected for different algorithms varied from USD17.43 to USD80.81. The monthly cost per patient was estimated at USD8.95 to USD12.36. …”
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Hierarchical DDPG Based Reinforcement Learning Framework for Multi-Agent Collective Motion With Short Communication Ranges by Jiaxin Li, Peng Yi, Tong Duan, Zhen Zhang, Tao Hu

“…However, existing multi-agent collective motion methods typically assume large communication ranges of individual agents; in the scenario of leader-follower control with short communication ranges, if the leader dynamically changes its velocity without considering the followers’ states, the communication topology may be easily disconnected, making multi-agent collective motion more challenging. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…These challenges become especially critical in domains such as pathology and blood sciences, where opaque AI algorithms and non-representative datasets can impact clinical outcomes. …”
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Comparative review of intelligent structural safety in building seismic risk mitigation utilizing an integrated artificial intelligence controller by Normaisharah Mamat, Rawad Abdulghafor, Sherzod Turaev, Fitri Yakub

“…Conventional approaches to mitigating earthquake risks may lack the capacity for prompt adaptation and response. …”
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Development and validation of a radiomic prediction model for TACC3 expression and prognosis in non-small cell lung cancer using contrast-enhanced CT imaging by Weichao Bai, Xinhan Zhao, Qian Ning

“…Predicting TACC3 expression through radiomic features may provide valuable insights into tumor biology and aid clinical decision-making. …”
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Machine learning classifiers to detect data pattern change of continuous emission monitoring system: A typical chemical industrial park as an example by Zhefeng Xu, Xiahong Shi, Wei Shu, Yilu Xin, Xuan Zan, Zhaonian Si, Jinping Cheng

“…Despite their utility, CEMS data face challenges of data fabrications, complicating efforts to detect environmental violations, which may be detected according to emission pattern changes. …”
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How large is the universe of RNA-like motifs? A clustering analysis of RNA graph motifs using topological descriptors. by Rui Wang, Tamar Schlick

“…The remaining 99.89% of the dual graphs may be RNA-like or non-RNA-like. To determine which dual graphs in the 99.89% hypothetical set are more likely to be associated with RNA structures, we apply computational topology descriptors using the Persistent Spectral Graphs (PSG) method to characterize each graph using 19 PSG-based features and use clustering algorithms that partition all possible dual graphs into two clusters. …”
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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem by Yi Chang, Ming Dong, Lihong Fan, Bochao Kang, Weikai Sun, Xiaofeng Li, Zhang Yang, Ming Ren

“…Abstract Background The risk stratification and prognosis of cardiac arrhythmia depend on the individual condition of patients, while invasive diagnostic methods may be risky to patient health, and current non-invasive diagnostic methods are applicable to few disease types without sensitivity and specificity. …”
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SEARCH FOR CLINICAL PREDICTORS OF PULMONARY HYPERTENSION IN PATIENTS WITH SYSTEMIC SCLEROSIS by N. A. Klyaus, M. A. Simakova, A. L. Maslyansky, O. M. Moiseeva

“…The scope of investigations necessary to detect PH, the complexity of its diagnostic algorithms for routine use, as well as the impossibility to apply the existing algorithms for all PH variants increase the relevance of searching for novel PH predictors in patients with SSc.Objective: to reveal the relationship of capillary structural changes to the clinical and immunological subtype of SSc, disease activity, and risk for PH.Subjects and methods. …”
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Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury. by Tianbao Feng, Jiating Hu, Mi Xie, Guodong Shi, Qi Wang, Jingyuan Yao, Xiaoqin Liu

“…As such, targeting PANoptosis-related genes may offer new therapeutic targets and clinically relevant treatment strategies. …”
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An Open-Access Repository of Synchrophasor Data Quality Examples: Curation and Example Applications by Shuchismita Biswas, Tianzhixi Yin, Syed Ahsan Raza Naqvi, Jim Follum, Antos Cheeramban Varghese, Tawsif Ahmad, Pavel Etingov

“…However, data artifacts may be introduced in these measurements due to various factors such as loss of communication, loss of GPS signal, internal clock error, and vendor-specific implementation of phasor estimation algorithms. …”
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ERBB3-related gene PBX1 is associated with prognosis in patients with HER2-positive breast cancer by Shufen Mo, Haiming Zhong, Weiping Dai, Yuanyuan Li, Bin Qi, Taidong Li, Yongguang Cai

“…Utilizing three distinct machine learning algorithms, we identified three signature genes-PBX1, IGHM, and CXCL13-that exhibited significant diagnostic value within the diagnostic model. …”
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An improved performance model for artificial intelligence-based diabetes prediction by Ugwu Hillary Okwudili, Oparaku Ogbonna Ukachukwu, V. C. Chijindu, Michael Okechukwu Ezea, Buhari Ishaq

“…AB is effective in enhancing the performance of weak learners, yet it may encounter challenges with imbalanced datasets, an aspect that was addressed through soft weighted sampling vote. …”
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Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics by Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun

“…Existing studies often use either machine learning classification or clustering algorithms. Additionally, several studies have used clustering algorithms to extract features related to brain states trajectories that can be used to train interpretable classifiers. …”
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Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning by Feng Lu, Yingying Liu, Zhen Chen, Shuning Chen, Weidong Liang, Fuzhou Hua, Maolin Zhong, Lifeng Wang

“…A total of 113 diagnostic models were developed through 12 machine learning algorithms, with the optimal model, “Lasso + Stepglm[both],” featuring six genes: Abca1, Cdh1, Glipr1, Glt8d2, Il10ra, and Pde5a. …”
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