Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

“…Therefore, our goal was to develop a noninvasive US grayscale image analysis for benign and malignant solid breast lesion differentiation. We used a dataset consisting of 105 ultrasound images with 50 benign and 55 malignant non-cystic lesions. …”
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Hospital frailty risk score predicts graft failure severe infection and mortality in hospitalized kidney transplant recipients from 2010 to 2018 US data by Lumin Chen, Feifan Chu, Hangbin Ma, Zujie Chen, Yuning Ma, Qiwei Ji, Hao Zhou

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Designing and evaluating alternative livelihoods for shark conservation: a case study on thresher sharks in Alor Island, Indonesia by Rafid A. Shidqi, Dewi R. Sari, Jeheskiel Alopen, Yodhikson M. Bang, Igo Arianto, Primiaty N. S. Kopong, Vivekananda Gitandjali TD, Etoile Smulders, Hollie Booth

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Seasonal resource selection of a grassland bird in a dynamic landscape: Importance of a heterogeneous landscape by Sprih Harsh, Robert C. Lonsinger, Hilary R. Kauth, Andrew J. Gregory

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How does the rise in contraceptive usage predict pregnancy termination among young women in Kenya? an in-depth multilevel analysis by Stephen Okechukwu Chukwudeh, Obasanjo Afolabi Bolarinwa, Oluwatobi Abel Alawode, David Olawade, Sinegugu Shongwe, Ritika Tiwari

“…Methods A total of 12,166 women aged 15–24 years old from Kenya were drawn using a secondary dataset from the most recent Kenya Demographic Health Surveys conducted in the year 2022. …”
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Tuberculosis and COVID-19: Lessons from the Past Viral Outbreaks and Possible Future Outcomes by Radu Crisan-Dabija, Cristina Grigorescu, Cristina-Alice Pavel, Bogdan Artene, Iolanda Valentina Popa, Andrei Cernomaz, Alexandru Burlacu

“…Using a data mining approach, we also queried the COVID-19 Open Research Dataset (CORD-19). We aimed to answer the following questions: What can be learned from other coronavirus outbreaks (focusing on TB patients)? …”
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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

“…However, many real-world datasets are not identically and independently distributed (non-IID). …”
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Regulatory T cell-like response to SARS-CoV-2 in Jamaican fruit bats (Artibeus jamaicensis) transduced with human ACE2. by Bradly Burke, Savannah M Rocha, Shijun Zhan, Miles Eckley, Clara Reasoner, Amin Addetia, Juliette Lewis, Anna Fagre, Phillida A Charley, Juergen A Richt, Susan R Weiss, Ronald B Tjalkens, David Veesler, Tawfik Aboellail, Tony Schountz

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Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears by Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez

“…The F1-score—a metric balancing precision (correctly identified positives) and recall (correctly detected instances out of actual positives)—is especially valuable for assessing models on imbalanced datasets. In parasite stage classification, CNN achieved F1-scores of 85% for trophozoites, 88% for schizonts, and 83% for gametocytes. …”
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Genomic and transcriptomic insights into vitamin A-induced thermogenesis and gene reuse as a cold adaptation strategy in wild boars by Mingpeng Zhang, Aleksei Traspov, Jiawen Yang, Min Zheng, Veronika R. Kharzinova, Huashui Ai, Natalia A. Zinovieva, Lusheng Huang

“…We also gathered 75 high-quality RNA-seq datasets from 10 tissues of 6 wild boars from Russia and 6 from southern China. …”
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Integrating RNA-seq and scRNA-seq to explore the prognostic features and immune landscape of exosome-related genes in breast cancer metastasis by Guanyou Huang, Yong Yu, Heng Su, Hongchuan Gan, Liangzhao Chu

“…Compared to the low-risk group, the high-risk group exhibits increased immune cell infiltration and higher levels of immune evasion. scRNA-seq data reveal that high-risk cells have significantly higher risk scores and exhibit notable differences in signalling pathways and intercellular communication patterns.Conclusions This study presents a novel risk score model based on exosome-related genes, validated by comprehensive analyses including differential expression, survival analysis and external dataset validation. The model’s clinical significance is reinforced through its ability to stratify patients into high- and low-risk groups with distinct survival outcomes and immune landscape characteristics. …”
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Insight on the Genetics of Atrial Fibrillation in Puerto Rican Hispanics by Ariel F. Gonzalez-Cordero, Jorge Duconge-Soler, Hilton Franqui-Rivera, Roberto Feliu-Maldonado, Abiel Roche-Lima, Israel Almodovar-Rivera

“…In this study, we compared a genetic dataset of Puerto Rican Hispanics to 111 SNP known to be associated with AF in a large European cohort and determine if they are associated with AF susceptibility in our cohort. …”
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Shared Medical and Environmental Risk Factors in Dry Eye Syndrome, Sjogren’s Syndrome, and B-Cell Non-Hodgkin Lymphoma: A Case-Control Study by Hadas Ben-Eli, Doron J. Aframian, Eldad Ben-Chetrit, Dror Mevorach, Geffen Kleinstern, Ora Paltiel, Abraham Solomon

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Network pharmacology and molecular analysis of mechanisms underlying the therapeutic effects of Rhubarb in treating atherosclerosis and abdominal aortic aneurysm by Huilin Xu, Jun Huang, Youjie Zeng, Xia Wang, Huilin Lian, Siyi Zhang, Ren Guo

“…Disease-related targets were retrieved from the GEO dataset and Disgenet database. Gene interactions were utilized to identify common targets of Rhubarb with AS/AAA, and interaction networks were constructed using Cytoscape 3.9.1. …”
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Biomechanical Basis of Interval Throwing Programs for Baseball Pitchers: A Systematic Review by Travis Dias, Benjamin G. Lerch, Jonathan S. Slowik, Kevin E. Wilk, James R. Andrews, E. Lyle Cain, Glenn S. Fleisig

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Addenbrooke’s Cognitive Examination and Individual Domain Cut-Off Scores for Discriminating between Different Cognitive Subtypes of Parkinson’s Disease by Dagmar Berankova, Eva Janousova, Martina Mrackova, Ilona Eliasova, Milena Kostalova, Svetlana Skutilova, Irena Rektorova

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Genome-Wide Expression Difference of MicroRNAs in Basal Cell Carcinoma by Hai-Peng Wei, Song Zhan, Qing-An Zhu, Zhen-Juan Chen, Xian Feng, Jun-Yuan Chen, Qi-Lin Zhang, Jingjie Zhao, Lingzhang Meng

“…After six small RNA sequencing- (sRNA-seq-) based miRNA expression profiles were generated for both BCC and controls, including three biological replicates, we conducted comparative analysis on the sRNA-seq dataset, discovering 181 differentially expressed miRNAs (DEMs) out of the 1,873 miRNAs in BCCs. …”
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The effect of Tai Chi on plasma homocysteine in 1176 adults: a propensity score matching-based study by Yingchun Gu, Juncai Bai, Yang Li, Ling Han, Dongwei Wang

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Translation, adaptation and validation of an epilepsy screening instrument in two Ghanaian languages. by Emmanuel Kwame Darkwa, Sabina Asiamah, Elizabeth Awini, Cynthia Sottie, Anthony Godi, John E Williams, Albert Akpalu, J Helen Cross, Josemir W Sander, Arjune Sen, Charles R Newton, Anthony Danso-Appiah, Patrick Adjei

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An amplification mechanism for weak ELF magnetic fields quantum-bio effects in cancer cells by Amirali Zandieh, Seyed Peyman Shariatpanahi, Amir Abas Ravassipour, Javad Azadipour, Maryam Sadat Nezamtaheri, Zahra Habibi-Kelishomi, Mojtaba Ghanizadeh, Ali Same-Majandeh, Keivan Majidzadeh-A, Amir Taheri, Alireza Madjid Ansari, Mohammad Amin Javidi, Mohammad Mehdi Pirnia, Bahram Goliaei

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