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  1. Yersinia enterocolitica infection can manifest as self-limiting gastroenteritis and may lead to more severe conditions, such as mesenteric lymphadenitis, reactive arthritis, or rare systemic infections. Fluoroqui...

    Authors: Zarrin Basharat, Youssef Saeed Alghamdi, Mutaib M. Mashraqi, Hanan A. Ogaly, Fatimah A.M. Al-Zahrani, Calvin R. Wei, Ibrar Ahmed and Seil Kim
    Citation: BioData Mining 2025 18:68
    Content type: Research Published on:

  2. Traditional radiomics approaches focus on single-region feature extraction, limiting their ability to capture complex inter-regional relationships crucial for understanding pathophysiological mechanisms in com...

    Authors: Mahboube Sadat Hosseini, Seyyed Mahmoud Reza Aghamiri and Mehdi Panahi
    Citation: BioData Mining 2025 18:67
    Content type: Research Published on:

  3. The clinical potential of single nucleotide polymorphisms (SNPs) in prostate cancer (PCa) diagnosis has been extensively explored using conventional statistical and machine learning approaches. However, the pr...

    Authors: Zhong Chen, Zichen Lao, You Lu, Wensheng Zhang, Andrea Edwards and Kun Zhang
    Citation: BioData Mining 2025 18:66
    Content type: Research Published on:

  5. Sepsis is a critical medical condition characterized by a highly variable and rapidly evolving clinical course, often necessitating early intervention and tailored treatment plans to improve patient outcomes. ...

    Authors: Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco and Francesca Gasparini
    Citation: BioData Mining 2025 18:64
    Content type: Research Published on:

  6. Early 30-day readmission remains a significant burden on the socioeconomic and healthcare system in the context of decompensated cirrhosis. Early recognition and accurate identification are crucial. However, c...

    Authors: Fang Yang, Jia Li, Ziyi Yang, Liping Wu, Han Wang and Chao Sun
    Citation: BioData Mining 2025 18:63
    Content type: Research Published on:

  7. Disrupted cholesterol homeostasis may accelerate cognitive aging. This study investigated the relationship between serum HDL-C levels and cognitive function, utilizing cross-sectional data and Mendelian random...

    Authors: Longmin Fan, Haitao Jiang and Zheyu Zhang
    Citation: BioData Mining 2025 18:62
    Content type: Research Published on:

  8. The immune response to SARS-CoV-2 varies greatly among individuals yielding highly varying severity levels among the patients. While there are various methods to spot severity associated biomarkers in COVID-19...

    Authors: Sohyun Youn, Dabin Jeong, Hwijun Kwon, Eonyong Han, Sun Kim and Inuk Jung
    Citation: BioData Mining 2025 18:61
    Content type: Research Published on:

  10. AI-powered augmented reality (AR) systems provide real-time, hands-free guidance, enabling untrained individuals to respond effectively in emergencies. By combining AI decision-making with AR visuals, they enh...

    Authors: Mohammed Abo-Zahhad, Mostafa N. Zakaria, Farida M. Sharaf, May M. Ismaiel, Habiba Hafrag and Yousef M. Amer
    Citation: BioData Mining 2025 18:59
    Content type: Research Published on:

  11. Efferocytosis, the process by which apoptotic cells are recognized and removed by phagocytes, plays a critical role in maintaining tissue homeostasis and modulating inflammatory responses. Over recent decades,...

    Authors: Yanpeng Jian, Shijia Dong, Weijie Liu, Genfeng Li, Xiaoyu Lian and Yigong Wang
    Citation: BioData Mining 2025 18:58
    Content type: Research Published on:

  12. This study explores diabetic foot (DF), a severe complication in diabetes, by combining deep learning (DL) and machine learning (ML) to develop a multi-model prediction tool. Early identification of high-risk ...

    Authors: Yao Li, Siyuan Zhou, Bichen Ren, Shuai Ju, Xiaoyan Li, Wenqiang Li, Bingzhe Li, Yunmin Cai, Chunlei Chang, Lihong Huang and Zhihui Dong
    Citation: BioData Mining 2025 18:57
    Content type: Research Published on:

  13. In an age when machine learning and artificial intelligence are broadly employed, traditional statistics can still provide insightful information and results quickly and at a low computational cost. Statistics...

    Authors: Davide Chicco, Andrea Sichenze and Giuseppe Jurman
    Citation: BioData Mining 2025 18:56
    Content type: Methodology Published on:

  14. With the vast advances in computing technology, computational (or in silico) modelling has emerged as a transformative tool in dermatology. These findings can provide novel insights into complex biological pro...

    Authors: Seda Ceylan, Didem Demir, Cayla Harris, Semih Latif İpek, Vasileios Vavourakis, Marco Manca, Sandrine Dubrac and Roman Bauer
    Citation: BioData Mining 2025 18:55
    Content type: Review Published on:

  15. Chronic kidney disease (CKD) is a globally prevalent chronic condition characterized by progressive renal function decline, imposing significant economic and psychological burdens on patients. Metabolic syndro...

    Authors: Yu Yin, Chenkai Zhao, Yibo Hua, Fei Yang, Dandan Qiu, Jiasheng Yan and Xiaodong Jin
    Citation: BioData Mining 2025 18:54
    Content type: Research Published on:

  16. Patient-reported outcomes (PROs) are direct reports from patients on health status, symptoms, quality of life, or treatment satisfaction, offering critical insights into subjective experiences that clinical me...

    Authors: Yang Yan, Zhong Chen, Xinglei Shen, Ronald C. Chen and Hao Gao
    Citation: BioData Mining 2025 18:53
    Content type: Research Published on:

  17. Bacterial exotoxins are secreted proteins able to affect target cells, and associated with diseases. Their accurate identification can enhance drug discovery and ensure the safety of bacteria-based medical app...

    Authors: Tanja Krueger, Damla A. Durmaz and Luisa F. Jimenez-Soto
    Citation: BioData Mining 2025 18:52
    Content type: Research Published on:

  18. Drug repurposing (DR) offers a promising alternative to the high cost and low success rate of traditional drug development, especially for complex diseases like Alzheimer’s disease (AD). This study addressed D...

    Authors: Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez and Jason H. Moore
    Citation: BioData Mining 2025 18:51
    Content type: Research Published on:

  19. Circular RNAs play a crucial role in cell development and serve as biomarkers in many diseases. Nevertheless, the function of many circular RNAs remains unknown. This function can be inferred from sponging and...

    Authors: Petr Ryšavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová and Jiří Kléma
    Citation: BioData Mining 2025 18:50
    Content type: Research Published on:

  20. Accurate segmentation of the prostate peripheral zone (PZ) in T2-weighted MRI is critical for the early detection of prostate cancer. Existing segmentation methods are hindered by significant inter-observer va...

    Authors: Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Hanen Karamti, Raed Alharthi and Julius Selecky
    Citation: BioData Mining 2025 18:49
    Content type: Research Published on:

  21. Tumor documentation in Germany is currently a largely manual process. It involves reading the textual patient documentation and filling in forms in dedicated databases to obtain structured data. Advances in in...

    Authors: Stefan Lenz, Arsenij Ustjanzew, Marco Jeray, Meike Ressing and Torsten Panholzer
    Citation: BioData Mining 2025 18:48
    Content type: Research Published on:

  22. Data mining in healthcare offers transformative insights yet surfaces multilayered ethical and governance challenges that extend beyond privacy alone. Privacy and consent concerns remain paramount when handlin...

    Authors: Mohamed Mustaf Ahmed, Olalekan John Okesanya, Majd Oweidat, Zhinya Kawa Othman, Shuaibu Saidu Musa and Don Eliseo Lucero-Prisno III
    Citation: BioData Mining 2025 18:47
    Content type: Review Published on:

  24. Around half of heart failure (HF) patients develop chronic kidney disease (CKD) and early detection of renal impairment in HF remains a clinical challenge. Both HF and CKD are characterized by autonomic dysfun...

    Authors: Namareq Widatalla, Sona Al Younis and Ahsan Khandoker
    Citation: BioData Mining 2025 18:45
    Content type: Research Published on:

  27. Recruitment for cohorts involving complex liver diseases, such as hepatocellular carcinoma and liver cirrhosis, often requires interpreting semantically complex criteria. Traditional manual screening methods a...

    Authors: Xiongbin Gui, Hanlin Lv, Xiao Wang, Longting Lv, Yi Xiao and Lei Wang
    Citation: BioData Mining 2025 18:42
    Content type: Research Published on:

  28. There is evidence of increased risk of cognitive disability due to short sleep duration and adverse Social Determinants of Health (SDoH). To determine whether spatial associations (correlation between spatiall...

    Authors: Tue T. Te, Alex A. T. Bui, Constance H. Fung and Mary Regina Boland
    Citation: BioData Mining 2025 18:41
    Content type: Research Published on:

  29. Neuroblastoma is a common pediatric cancer that affects thousands of infants worldwide, especially children under five years of age. Although recovery for patients with neuroblastoma is possible in 80% of case...

    Authors: Davide Chicco, Luca Oneto and Davide Cangelosi
    Citation: BioData Mining 2025 18:40
    Content type: Research Published on:

  30. Identifying the set of patients with a particular disease diagnosis across electronic health records (EHRs), referred to as a phenotype, is an important step in clinical research and applications. However, thi...

    Authors: David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto and Ruijun Chen
    Citation: BioData Mining 2025 18:39
    Content type: Methodology Published on:

  31. Publicly available metagenomics datasets are crucial for ensuring the reproducibility of scientific findings and supporting contemporary large-scale studies. However, submitting a comprehensive metagenomics da...

    Authors: Tom Tubbesing, Andreas Schlüter and Alexander Sczyrba
    Citation: BioData Mining 2025 18:38
    Content type: Software Published on:

  32. Network representations of data are designed to encode relationships between concepts as sets of edges between nodes. Human biology is inherently complex and is represented by data that often exists in a hiera...

    Authors: Rachit Kumar, Joseph D. Romano and Marylyn D. Ritchie
    Citation: BioData Mining 2025 18:37
    Content type: Review Published on:

  34. Over the past decade an increase in usage of electronic health data (EHR) by office-based physicians and hospitals has been reported. However, these data types come with challenge regarding completeness and da...

    Authors: Berit Hunsdieck, Christian Bender, Katja Ickstadt and Johanna Mielke
    Citation: BioData Mining 2025 18:35
    Content type: Methodology Published on:

  37. Acute myeloid leukemia (AML) is caused by proliferation of mutated myeloid progenitor cells. The standard chemotherapy regimen does not efficiently cause remission as there is a high relapse rate. Resistance a...

    Authors: Suruthy Sivanathan and Ting Hu
    Citation: BioData Mining 2025 18:32
    Content type: Research Published on:

    The Correction to this article has been published in BioData Mining 2025 18:36

  38. Functional deterioration (FD) of various organ systems is the major cause of death in ICU patients, but few studies propose effective multi-task (MT) model to predict FD of multiple organs simultaneously. This...

    Authors: Zhixuan Zeng, Yang Liu, Shuo Yao, Minjie Lin, Xu Cai, Wenbin Nan, Yiyang Xie and Xun Gong
    Citation: BioData Mining 2025 18:31
    Content type: Research Published on:

  39. Digital twins in healthcare offer an innovative approach to precision diagnosis, prognosis, and treatment. SynTwin, a novel computational methodology to generate digital twins using synthetic data and network ...

    Authors: Xi Li, Jui-Hsuan Chang, Mythreye Venkatesan, Zhiping Paul Wang and Jason H. Moore
    Citation: BioData Mining 2025 18:30
    Content type: Research Published on:

  41. Named Entity Recognition (NER) is a fundamental task in processing biomedical text. Due to the limited availability of labeled data, researchers have investigated few-shot learning methods to tackle this chall...

    Authors: Di Zhao, Wenxuan Mu, Xiangxing Jia, Shuang Liu, Yonghe Chu, Jiana Meng and Hongfei Lin
    Citation: BioData Mining 2025 18:28
    Content type: Methodology Published on:

  43. Dementia due to Alzheimer’s disease (AD) is a multifaceted neurodegenerative disorder characterized by various cognitive and behavioral decline factors. In this work, we propose an extension of the traditional k-...

    Authors: Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco and Francesca Gasparini
    Citation: BioData Mining 2025 18:26
    Content type: Research Published on:

  44. Constructing a predictive model is challenging in imbalanced medical dataset (such as preeclampsia), particularly when employing ensemble machine learning algorithms.

    Authors: Yinyao Ma, Hanlin Lv, Yanhua Ma, Xiao Wang, Longting Lv, Xuxia Liang and Lei Wang
    Citation: BioData Mining 2025 18:25
    Content type: Methodology Published on:

  45. Alzheimer’s disease (AD) is a complex disorder that affects multiple biological systems including cognition, behavior and physical health. Unfortunately, the pathogenic mechanisms behind AD are not yet clear a...

    Authors: Hanxiang Xu, Shizhuo Mu, Jingxuan Bao, Christos Davatzikos, Haochang Shou and Li Shen
    Citation: BioData Mining 2025 18:24
    Content type: Research Published on:

  47. The linear mixed-effects model (LME) is a conventional parametric method mainly used for analyzing longitudinal and clustered data in genetic studies. Previous studies have shown that this model can be sensiti...

    Authors: Mina Jahangiri, Anoshirvan Kazemnejad, Keith S. Goldfeld, Maryam S. Daneshpour, Mehdi Momen, Shayan Mostafaei, Davood Khalili and Mahdi Akbarzadeh
    Citation: BioData Mining 2025 18:22
    Content type: Methodology Published on:

  48. The acquisition of 3D geometries of coronary arteries from computed tomography coronary angiography (CTCA) is crucial for clinicians, enabling visualization of lesions and supporting decision-making processes....

    Authors: Belén Serrano-Antón, Manuel Insúa Villa, Santiago Pendón-Minguillón, Santiago Paramés-Estévez, Alberto Otero-Cacho, Diego López-Otero, Brais Díaz-Fernández, María Bastos-Fernández, José R. González-Juanatey and Alberto P. Muñuzuri
    Citation: BioData Mining 2025 18:21
    Content type: Research Published on:

  49. Late-onset Alzheimer’s disease (LOAD) is a progressive and complex neurodegenerative disorder of the aging population. LOAD is characterized by cognitive decline, such as deterioration of memory, loss of intel...

    Authors: Onur Erdogan, Cem Iyigun and Yeşim Aydın Son
    Citation: BioData Mining 2025 18:20
    Content type: Research Published on:

  50. Acne is a chronic inflammatory condition affecting the hair follicles and sebaceous glands. Recent research has revealed significant advances in the study of the acne skin microbiome. Systematic analysis of re...

    Authors: Lanfang Zhang, Yuan Cai, Lin Li, Jie Hu, Changsha Jia, Xu Kuang, Yi Zhou, Zhiai Lan, Chunyan Liu, Feng Jiang, Nana Sun and Ni Zeng
    Citation: BioData Mining 2025 18:19
    Content type: Research Published on:
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BioData Mining

ISSN: 1756-0381