Synthetic Data in Healthcare and Drug Development: Definitions, Regulatory Frameworks, Issues by Giuseppe Pasculli, Marco Virgolin, Puja Myles, Anna Vidovszky, Charles Fisher, Elisabetta Biasin, Miranda Mourby, Francesco Pappalardo, Saverio D'Amico, Mario Torchia, Alexander Chebykin, Vincenzo Carbone, Luca Emili, Daniel Roeshammar

“…ABSTRACT With the recent and evolving regulatory frameworks regarding the usage of Artificial Intelligence (AI) in both drug and medical device development, the differentiation between data derived from observed (‘true’ or ‘real’) sources and artificial data obtained using process‐driven and/or (data‐driven) algorithmic processes is emerging as a critical consideration in clinical research and regulatory discourse. …”
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Transcriptomic analysis and machine learning modeling identifies novel biomarkers and genetic characteristics of hypertrophic cardiomyopathy by Feng Zhang, Chunrui Li, Lulu Zhang

“…A predictive model for HCM was developed through systematic evaluation of 113 combinations of 12 machine-learning algorithms, employing 10-fold cross-validation on training datasets and external validation using an independent cohort (GSE180313).ResultsA total of 271 DEGs were identified, primarily enriched in multiple biological pathways. …”
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A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis by Abbas Alili, Varun Nalam, Minhan Li, Ming Liu, Jing Feng, Jennie Si, He Huang

“…Emerging automatic tuning algorithms have shown promise to ease the device personalization procedure. …”
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TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

“…Methods TOM40 expression level in OSCC was evaluated using datasets downloaded from The Cancer Genome Atlas (TCGA), as well as clinical data. …”
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Identification and mechanism analysis of biomarkers related to butyrate metabolism in COVID-19 patients by Wenchao Zhou, Hui Li, Juan Zhang, Changsheng Liu, Dan Liu, Xupeng Chen, Jing Ouyang, Tian Zeng, Shuang Peng, Fan Ouyang, Yunzhu Long, Yukun Li

“…Six machine learning algorithms were employed to determine the best model for identifying biomarkers, and receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic value of the biomarkers in COVID-19. …”
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An Automatic Method for Powerline Extraction From ALS Point Cloud of Powerline Corridors by Di Cao, Cheng Wang, Haibo Liu, Su Zhang, Meng Du, Pu Wang, Sheng Nie, Sijin Cheng

“…The method was evaluated on nine datasets spanning 80.32 km, covering voltage levels of 220 kV, 500 kV, and 800 kV. …”
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ImmuProgML: machine learning-based dissection of cancer-immune dynamics during tumor progression to improve immunotherapy by Hanxiao Zhou, Lan Mei, Qianyi Lu, Yakun Zhang, Yue Sun, Caiyu Zhang, Han Jiang, Jiajun Zhou, Xia Li, Yunpeng Zhang, Shangwei Ning

“…By introducing the DNEX score, an integrative metric combining differential expression and network analysis, ImmuProgML evaluated gene immunomodulation activity during tumor progression and identified immunotherapy targets. …”
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Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…Methods: The high-throughput sequencing data was downloaded from the TARGET database and performed the ESTIMATE algorithm. Metastasis-related information was obtained from the GSE21257 dataset. …”
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Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis by Wenzhe Hu, Wenzhe Hu, Xudong Zhao, Nan Luo, Nan Luo, Nan Luo, Mengmeng Xiao, Feng Feng, Feng Feng, Yuan An, Yuan An, Jianfei Chen, Jianfei Chen, Long Rong, Yinmo Yang, Jirun Peng, Jirun Peng, Jirun Peng

“…Certain combinations of these markers can be used in a highly specific (approximately 100%) algorithm to differentiate PAC from HCC, CRC, and GC in blood.ConclusionsOur study identified cfDNA methylation markers for PAC, offering a novel approach for the early, noninvasive diagnosis of PAC.…”
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A nomogram combining clinical features, O-RADS US, and radiomics based on ultrasound imaging for diagnosing ovarian cancer by Wenting Xie, Yaoqin Wang, Zhongshi Du, Yijie Chen, Xiaohui Ke, Tingfan Wu, Zhilan Wang, Lina Tang

“…O-RADS US characteristics, radiomics score, and clinical features selected using the LASSO algorithm were used to develop O-RADS US + Radscore + Clinical, Radscore + Clinical, and O-RADS US + Clinical models, respectively. …”
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A Seq-to-Seq Temporal Convolutional Network for Volleyball Jump Monitoring Using a Waist-Mounted IMU by Meng Shang, Camilla de Bleecker, Jos Vanrenterghem, Roel de Ridder, Sabine Verschueren, Carolina Varon, Walter de Raedt, Bart Vanrumste

“…Also, existing methods do not provide accurate differentiation between different types of jumps. In this study, an unobtrusive system with a single inertial measurement unit (IMU) on the waist was proposed to recognize the types of volleyball jumps. …”
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Desenvolvimento de um programa computacional para implantação econômica de lavouras canavieiras Development of a computer program for economical implantation of sugarcane plantatio... by Tadeu A. Marques, Gil E. Serra, Patrícia A. A. Marques

“…500000027058</A>".<br>An algorithm was developed for conventional implantation of sugarcane crap. …”
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Identification and validation of endoplasmic reticulum stress-related diagnostic biomarkers for type 1 diabetic cardiomyopathy based on bioinformatics and machine learning by Qiao Tang, Yanwei Ji, Zhongyuan Xia, Yuxi Zhang, Chong Dong, Chong Dong, Qian Sun, Shaoqing Lei

“…Limma package analyzed differentially expressed genes (DEGs) in the DC and control groups, and then integrated with ERGs to identify ERS-related DEGs (ERDEGs). …”
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Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction by Fang Lyu, Yuxin Zhong, Qingliu He, Wen Xiao, Xiaoping Zhang

“…Differentially expressed genes were assessed using the limma package. …”
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Predicting immune status and gene mutations in stomach adenocarcinoma patients based on inflammatory response-related prognostic features by Huanjun Li, Jingtang Chen, Zhiliang Chen, Jingsheng Liao

“…Herein, we characterized the prognosis based on inflammatory response-related features and evaluated their potential impact on survival and immune status of STAD patients. …”
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LYN and CYBB are pivotal immune and inflammatory genes as diagnostic biomarkers in recurrent spontaneous abortion by Zhuna Wu, Qiuya Lin, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Qirong Shi, Yumin Ke

“…The compositional patterns of the infiltration of 22 immune cell types in RSA were analyzed via the CIBERSORT algorithm.ResultWe identified 403 differentially expressed genes (DEGs) and 7 DIIRGs between RSA endometrium and Non-RSA endometrium. …”
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Full-chain comprehensive assessment and multi-scenario simulation of geological disaster vulnerability based on the VSD framework: a case study of Yunnan province in China by Li Xu, Shucheng Tan, Runyang Li

“…Using various mathematical models, the spatial differentiation and evolutionary trends of GDV in Yunnan Province from 2000 to 2020 were quantitatively analyzed. …”
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Identification and Validation of Feature Genes Related to Mitochondrial Dysfunction and Oxidative Stress in Ulcerative Colitis by Wu Y, Tan Z, Lan Q, Liu Y, Liu C, He H, Zhang J, Dong W

“…The CIBERSORT algorithm was used to assess immune cell infiltration. …”
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Immunotyping of thyroid cancer for clinical outcomes and implications by Jin Xu, Zhen Luo, Dayong Xu, Mujing Ke, Cheng Tan

“…Methods The Cancer Genome Atlas (TCGA)-THCA dataset was downloaded. The CIBERSORT algorithm was used to determine immune cell infiltration and a Weighted Gene Co-expression Network Analysis (WGCNA) was executed to obtain immune cell-related genes. …”
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The osteosarcoma immune microenvironment in progression: PLEK as a prognostic biomarker and therapeutic target by Yunpeng Zou, Yunpeng Zou, Jianning Kang, Shaopeng Zhu, Xuechen Ren, Zheng Li, Jiayao Niu, Xuanzhe Qin, Hongbo Li, Lu Xiang, Wei Jiang, Jiangbo Zhong, Ying Zhang, Ying Zhang, Kai Zhao

“…Protein–protein interaction networks, GO/KEGG enrichment, and CytoHubba algorithms identified core hub genes. Tumor-infiltrating immune cells were profiled via TIMER. …”
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