Digital Determinants of Health: Health data poverty amplifies existing health disparities-A scoping review. by Kenneth Eugene Paik, Rachel Hicklen, Fred Kaggwa, Corinna Victoria Puyat, Luis Filipe Nakayama, Bradley Ashley Ong, Jeremey N I Shropshire, Cleva Villanueva

“…Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform healthcare as already demonstrated in various medical specialties. …”
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Neural quantum propagators for driven-dissipative quantum dynamics by Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen

“…Describing the dynamics of strong-laser driven open quantum systems is a very challenging task that requires the solution of highly involved equations of motion. While machine learning techniques are being applied with some success to simulate the time evolution of individual quantum states, their use to approximate time-dependent operators (that can evolve various states) remains largely unexplored. …”
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A Theoretical Framework for Interrogating the Integration of Artificial Intelligence in Education by Tarisayi Kudzayi Savious

“…Artificial intelligence (AI) and machine learning have become increasingly important in modern society and are poised to play an increasingly prominent role in education. …”
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Research on the Influence of New Media Technology on Internet Short Video Content Production under Artificial Intelligence Background by Zhiqin Lu, Inyong Nam

“…Therefore, video content analysis is a very important and popular work in machine learning and artificial intelligence currently. …”
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A Study of Supplier Selection Method Based on SVM for Weighting Expert Evaluation by Li Zhao, Wenjing Qi, Meihong Zhu

“…To tackle this problem, this paper proposes a novel method that employs machine learning to learn the credibility of expert from historical data, which is converted to weights in evaluation process. …”
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Exploring the performance of ChatGPT for numerical solution of ordinary differential equations by Saso Koceski, Natasa Koceska, Limonka Koceva Lazarova, Marija Miteva, Biljana Zlatanovska

“…It also requires further improvement of the machine learning model and the ability to provide an explanation of how the output was obtained.…”
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Shaping the future of commercial quantum computer and the challenge for information security by Chao WANG, Yun-jiang WANG, Feng HU

“…With the wide applications in the field of machine learning and artificial intelligence, importance to the influences of quantum artificial intelligence on the big data security on internet should be attached. …”
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Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance by Angela Cesaro, Samuel C. Hoffman, Payel Das, Cesar de la Fuente-Nunez

“…While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. …”
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Studying Same-Sign Top Pair Production through Top-Higgs FCNC Interactions at the HL-LHC by O. M. Ozsimsek, V. Ari, O. Cakir

“…We use angular observables of the same-sign lepton pairs and the top quark kinematics in the process which provide the possibility of separation of new physics signal from the SM backgrounds using machine-learning techniques. We find that the same-sign top quark pair production is quite capable of testing the top-Higgs FCNCs at the HL-LHC.…”
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Audiogmenter: a MATLAB toolbox for audio data augmentation by Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

“…This study aims to help machine learning researchers to improve their models using the algorithms proposed by the authors. …”
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Shengxue Busui Decoction activates the PI3K/Akt and VEGF pathways, enhancing vascular function and inhibiting osteocyte apoptosis to combat steroid-induced femoral head necrosis by Manting Liu, Jiexiang Ye, Runtian Wu, Dongqiang Luo, Tao Huang, Dandan Dai, Kexin Wang, Yanping Du, Junwen Ou

“…GO/KEGG enrichment and ssGSEA analyses were performed to identify critical pathways. Cytoscape and machine learning (SVM) were used for target prediction and molecular docking validation. …”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…Methods By using data from the Gene Expression Omnibus (GEO) database, we employed machine learning methods to discover prognostic ARGs and create a risk score. …”
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Identification of a novel disulfidptosis-related gene signature in osteoarthritis using bioinformatics analysis and experimental validation by Mingjie Wei, Xiangwen Shi, Wenbao Tang, Qian Lv, Yipeng Wu, Yongqing Xu

“…Subsequently, the immune microenvironment of OA patients was comprehensively analyzed using the “CIBERSORT” algorithm for immune infiltration. Various machine learning algorithms were utilized to screen characteristic DR-DEGs, and nomogram models and ROC curves were built based on these genes. …”
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Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-econ... by Zhaoyang Zuo, Junhua Wang, Mohammed A. Alghassab, Nashwan Adnan Othman, Ahmad Almadhor, Fahad M. Alhomayani, Hind Albalawi, Samah G. Babiker, Barno Abdullaeva, Aboulbaba Eladeb

“…Additionally, the machine learning optimization technique is employed to optimize the system, significantly reducing computational costs and runtime for the optimization process. …”
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Exploring the shared gene signatures and mechanism among three autoimmune diseases by bulk RNA sequencing integrated with single-cell RNA sequencing analysis by Xiaofang Liu, Bin Li, Yuxi Lin, Xueying Ma, Yingying Liu, Lili Ma, Xiaomeng Ma, Xia Wang, Nanjing Li, Xiaoyun Liu, Xiaohong Chen

“…Functional enrichment analyses and Protein-Protein Interaction (PPI) network was constructed. We used machine learning algorithms to select candidate biomarkers and evaluate their diagnostic value. …”
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Penerapan Logika Fuzzy Dan Metode Profile Matching Pada Sistem Pakar Medis Untuk Diagnosis Covid-19 Dan Penyakit Lain by Rusliyawati Rusliyawati, Agus Wantoro, Erliyan Redy Susanto

“…Berbagai macam upaya diagnosis telah dilakukan, seperti Rapid Diagnostic Test (RDT), RT-PCR, CT-Scan Image, dan machine learning, namun masih memiliki beberapa kelemahan. …”
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Teknologi Text To Speech Menggunakan Amazon Polly Untuk Meningkatkan Kemampuan Membaca Pada Anak Dengan Gejala Disleksia by Karlina Diah Fatmawati, Imam Tahyudin

“…Penelitian ini bertujuan untuk meningkatkan kemampuan membaca menggunakan teknologi Text-To-Speech (TTS) dengan Machine Learning Amazon Polly yang ada pada AWS cloud. …”
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Pragmatic performance, its relationship with symptom severity, and early clinical predictors of pragmatics in 5 ~ 6-year-old children with autism spectrum disorder by Lu Qian, Ning Ding, Hui Fang, Ting Xiao, Bei Sun, HuiYun Gao, XiaoYan Ke

“…Furthermore, hierarchical multiple regression analyses and machine learning techniques were performed to explore the effects of early potential predictors of pragmatic development in the ASD group. …”
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Analisis Sentimen Berbasis Aspek Pada Ulasan Pelanggan Restoran Menggunakan Algoritma Support Vector Machine (Studi Kasus: Depot Bamara) by Muhammad Fariz Firdaus, Dian Eka Ratnawati, Nanang Yudi Setiawan

“…One solution that can be implemented is using aspect-based sentiment analysis with the help of machine learning. Aspect-based sentiment analysis provides more focused knowledge on each aspect of the restaurant, and the use of machine learning allows the utilization of reviews with minimal human resources. …”
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Identifying disulfidptosis-related biomarkers in epilepsy based on integrated bioinformatics and experimental analyses by Sijun Li, Lanfeng Sun, Hongmi Huang, Xing Wei, Yuling Lu, Kai Qian, Yuan Wu

“…Following that, the best machine learning model which is validated by GSE143272 dataset and predictor molecules were identified. …”
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