Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

“…Key physicochemical parameters, heavy metals, and minerals were measured, and viral presence was detected using RT-qPCR. After data preprocessing, correlation analyses identified 19 relevant environmental parameters. …”
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Integrated bioinformatics analysis to develop diagnostic models for malignant transformation of chronic proliferative diseases by Hua Liu, Sheng Lin, Pei-Xuan Chen, Juan Min, Xia-Yang Liu, Ting Guan, Chao-Ying Yang, Xiao-Juan Xiao, De-Hui Xiong, Sheng-Jie Sun, Ling Nie, Han Gong, Xu-Sheng Wu, Xiao-Feng He, Jing Liu

“…Machine-learning algorithms screen genes for potential biomarkers, leading to the development of diagnostic models. …”
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Prostate-specific membrane antigen in circulating tumor cells is a new poor prognostic marker for castration-resistant prostate cancer. by Naoya Nagaya, Masayoshi Nagata, Yan Lu, Mayuko Kanayama, Qi Hou, Zen-U Hotta, Toshiyuki China, Kosuke Kitamura, Kazuhito Matsushita, Shuji Isotani, Satoru Muto, Yoshiro Sakamoto, Shigeo Horie

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Improving T2D machine learning-based prediction accuracy with SNPs and younger age by Cynthia AL Hageh, Andreas Henschel, Hao Zhou, Jorge Zubelli, Moni Nader, Stephanie Chacar, Nantia Iakovidou, Haralampos Hatzikirou, Antoine Abchee, Siobhán O’Sullivan, Pierre A. Zalloua

“…Results: The inclusion of genomic data modestly improved model performance across all algorithms in the discovery dataset. Clinical features such as family history of T2D and hypertension consistently ranked as top features. …”
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Machine learning-based prediction of carotid intima–media thickness progression: a three-year prospective cohort study by An Zhou, Kui Chen, Kui Chen, Yonghui Wei, Qu Ye, Qu Ye, Yuanming Xiao, Rong Shi, Jiangang Wang, Wei-Dong Li

“…BackgroundEarly detection of subclinical atherosclerosis progression is crucial for preventing atherosclerotic cardiovascular disease (ASCVD). …”
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Introgression of chromosomal segments conferring early heading date from wheat diploid progenitor, Aegilops tauschii Coss., into Japanese elite wheat cultivars. by Shigeo Takumi, Seito Mitta, Shoya Komura, Tatsuya M Ikeda, Hitoshi Matsunaka, Kazuhiro Sato, Kentaro Yoshida, Koji Murai

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Genetic structure and demographic inference of the regular sea urchin Sterechinus neumayeri (Meissner, 1900) in the Southern Ocean: The role of the last glaciation. by Angie Díaz, Karin Gérard, Claudio González-Wevar, Claudia Maturana, Jean-Pierre Féral, Bruno David, Thomas Saucède, Elie Poulin

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Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure by Luis Martí-Bonmatí, Ignacio Blanquer, Manolis Tsiknakis, Gianna Tsakou, Ricard Martinez, Salvador Capella-Gutierrez, Sara Zullino, Janos Meszaros, Esther E. Bron, Jose Luis Gelpi, Katrine Riklund, Linda Chaabane, Heinz-Peter Schlemmer, Mario Aznar, Patricia Serrano Candelas, Peter Gordebeke, Monika Hierath, the EUCAIM Consortium, European Society of Radiology

“…Abstract Artificial intelligence (AI) is a powerful technology with the potential to disrupt cancer detection, diagnosis and treatment. However, the development of new AI algorithms requires access to large and complex real-world datasets. …”
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Enhancing Corn Image Resolution Captured by Unmanned Aerial Vehicles With the Aid of Deep Learning by Emilia Alves Nogueira, Bruno Moraes Rocha, Gabriel da Silva Vieira, Afonso Ueslei da Fonseca, Juliana Paula Felix, Antonio Oliveira-Jr, Fabrizzio Soares

“…Experimental results demonstrate significant improvements in the resolution in the images using these SR algorithms compared to traditional interpolation methods, with gains of 364.13%. …”
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Prediction of Therapeutic Response and Prognosis in Ovarian Cancer Patients With Plasma Circulating Biomarkers by Haixia Cheng, Guangwen Yuan, Leilei Liang, Tiantian Wang, Jiarun Zhu, Hongying Yang, Zhendiao Zhou, Pei Wang, Qianqian Song, Yuchen Jiao, Mei Liu, Lingying Wu

“…In 12 patients without clinical benefit, the median lead time to detect drug resistance from TUCA to the Response Evaluation Criteria in Solid Tumors was 86.0 days. …”
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Proteomic analysis of the response of Trichinella spiralis muscle larvae to exogenous nitric oxide. by Xiaoli Wang, Liang Li, Xing Wei, Yuanyuan Wang, Hui Zhang, Ao Shi, Tao Liu, Xiaodi Yang, Qiang Fang

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Systematic metabolic profiling and bioactivity assays for bioconversion of Aceraceae family. by Jinyong Park, Dong Ho Suh, Digar Singh, Sarah Lee, Jong Seok Lee, Choong Hwan Lee

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Real-Time FTM-Based Victim Positioning System Using Heterogeneous Robots in Remote and Outdoor Scenarios by Juan Bravo-Arrabal, Carlos Simon Alvarez-Merino, Manuel Toscano-Moreno, Javier Seron-Barba, J. J. Fernandez-Lozano, Jose Antonio Gomez-Ruiz, Emil J. Khatib, Raquel Barco, Alfonso Garcia-Cerezo

“…A centralized Feedback Information System (FIS) processes real-time RTT data from the field, executes a multilateration algorithm, and provides live geolocation updates to SAR coordinators. …”
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Transcriptome sequencing reveals novel Citrus bark cracking viroid (CBCVd) variants from citrus and their molecular characterization. by Yafei Wang, Sagheer Atta, Xuefeng Wang, Fangyun Yang, Changyong Zhou, Mengji Cao

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HETDEX-LOFAR Spectroscopic Redshift Catalog by Maya H. Debski, Gregory R. Zeimann, Gary J. Hill, Donald P. Schneider, Leah Morabito, Gavin Dalton, Matt J. Jarvis, Erin Mentuch Cooper, Robin Ciardullo, Eric Gawiser, Nika Jurlin

“…We combine the power of blind integral field spectroscopy from the Hobby–Eberly Telescope (HET) Dark Energy Experiment (HETDEX) with sources detected by the Low Frequency Array (LOFAR) to construct the HETDEX-LOFAR Spectroscopic Redshift Catalog. …”
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Effect of ACE-inhibition on coronary microvascular function and symptoms in normotensive women with microvascular angina: A randomized placebo-controlled trial. by Marie Mide Michelsen, Anna Bay Rask, Elena Suhrs, Kristoffer Flintholm Raft, Nis Høst, Eva Prescott

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The small non-coding RNA response to virus infection in the Leishmania vector Lutzomyia longipalpis. by Flávia Viana Ferreira, Eric Roberto Guimarães Rocha Aguiar, Roenick Proveti Olmo, Karla Pollyanna Vieira de Oliveira, Emanuele Guimarães Silva, Maurício Roberto Viana Sant'Anna, Nelder de Figueiredo Gontijo, Erna Geessien Kroon, Jean Luc Imler, João Trindade Marques

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RehabHand—A New Physical Rehabilitation Training Dataset: Construction and Benchmark Performances of the Relevant Hand Tasks by Sinh Huy Nguyen, Hoang Bach Nguyen, Thi Thu Hong Le, Chi Thanh Nguyen, Thi Thanh Huyen Nguyen, Quynh Tho Chu, Thi Lan Le, Thanh Hai Tran, Hai Vu

“…These labeled datasets are utilized to evaluate three primary tasks related to evaluating physical hand functions: including one- and two-stage neuronal networks for hand detection and identifying left or right patient’s hand; hand tracking with SORT and DeepSORT algorithms. …”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…The model facilitates rapid and non-destructive detection of leaf potassium content throughout the entire growth period of Korla fragrant pears, supporting precision fertilization in orchards. …”
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A network toxicology and machine learning approach to investigate the mechanism of kidney injury from melamine and cyanuric acid co-exposure by Zhan Wang, Zhaokai Zhou, Zihao Zhao, Junjie Zhang, Shengli Zhang, Luping Li, Yingzhong Fan, Qi Li

“…Potential target proteins were identified using ChEMBL, STITCH, and GeneCards databases, and hub genes were screened using three machine learning algorithms: LASSO regression, Random Forest, and Molecular Complex Detection. …”
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