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  1. 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:

  5. 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:

  6. 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:

  8. 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:

  10. 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:

  11. 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:

  12. 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:

  14. 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:

  15. 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:

  16. 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:

  17. 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:

  19. Interdisciplinary, transdisciplinary, convergence, and No-Boundary Thinking (NBT) research are methodology and technology-agnostic approaches to problem solving. The focus is on defining problems informed by a...

    Authors: Tayo Obafemi-Ajayi, Steven F. Jennings, Yu Zhang, Kara Li Liu, Joan Peckham and Jason H. Moore
    Citation: BioData Mining 2025 18:17
    Content type: Editorial Published on:

  20. Cardiopulmonary Exercise Testing (CPET) provides detailed insights into athletes’ cardiovascular and pulmonary function, making it a valuable tool in assessing recovery and injury risks. However, traditional s...

    Authors: Arezoo Abasi, Ahmad Nazari, Azar Moezy and Seyed Ali Fatemi Aghda
    Citation: BioData Mining 2025 18:16
    Content type: Research Published on:

  21. Explainable and interpretable machine learning has emerged as essential in leveraging artificial intelligence within high-stakes domains such as healthcare to ensure transparency and trustworthiness. Feature i...

    Authors: Christel Sirocchi, Martin Urschler and Bastian Pfeifer
    Citation: BioData Mining 2025 18:15
    Content type: Methodology Published on:

  22. The integration of Artificial Intelligence (AI) and Machine Learning (ML) is transforming public health by enhancing the assessment and mitigation of health inequities. As the use of AI tools, especially ML te...

    Authors: Maryam Ramezani, Mohammadreza Mobinizadeh, Ahad Bakhtiari, Hamid R. Rabiee, Maryam Ramezani, Hakimeh Mostafavi, Alireza Olyaeemanesh, Ali Akbar Fazaeli, Alireza Atashi, Saharnaz Sazgarnejad, Efat Mohamadi and Amirhossein Takian
    Citation: BioData Mining 2025 18:14
    Content type: Research Published on:

  23. Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health co...

    Authors: Yi-Chou Chen, Hui-Chen Su, Shih-Ming Huang, Ching-Hsiao Yu, Jen-Huei Chang and Yi-Lin Chiu
    Citation: BioData Mining 2025 18:13
    Content type: Research Published on:

  24. Posttranslational modifications (PTMs) are essential for regulating protein localization and stability, significantly affecting gene expression, biological functions, and genome replication. Among these, sumoy...

    Authors: Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani and Nijad Ahmad
    Citation: BioData Mining 2025 18:12
    Content type: Research Published on:

  25. This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children's nutritional status and...

    Authors: Getnet Bogale Begashaw, Temesgen Zewotir and Haile Mekonnen Fenta
    Citation: BioData Mining 2025 18:11
    Content type: Methodology Published on:

  27. The accurate identification of molecular subtypes in digestive tract cancer (DTC) is crucial for making informed treatment decisions and selecting potential biomarkers. With the rapid advancement of artificial...

    Authors: Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao and Hua Chai
    Citation: BioData Mining 2025 18:9
    Content type: Methodology Published on:

  28. Analyzing free-living physical activity (PA) data presents challenges due to variability in daily routines and the lack of activity labels. Traditional approaches often rely on summary statistics, which may no...

    Authors: Ya-Ting Liang and Charlotte Wang
    Citation: BioData Mining 2025 18:8
    Content type: Methodology Published on:

    The Correction to this article has been published in BioData Mining 2025 18:34

  29. Accurate identification and prioritization of driver-mutations in cancer is critical for effective patient management. Despite the presence of numerous bioinformatic algorithms for estimating mutation pathogen...

    Authors: Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay and Nidhan K. Biswas
    Citation: BioData Mining 2025 18:7
    Content type: Research Published on:

  30. The mechanistic pathways that give rise to the extreme symptoms exhibited by rare disease patients are complex, heterogeneous, and difficult to discern. Understanding these mechanisms is critical for developin...

    Authors: Lane Fitzsimmons, Brett Beaulieu-Jones and Shilpa Nadimpalli Kobren
    Citation: BioData Mining 2025 18:6
    Content type: Research Published on:

  33. With recent advances in single cell technology, high-throughput methods provide unique insight into disease mechanisms and more importantly, cell type origin. Here, we used multi-omics data to understand how g...

    Authors: Peter T. Nguyen, Simon G. Coetzee, Irina Silacheva and Dennis J. Hazelett
    Citation: BioData Mining 2025 18:3
    Content type: Research Published on:

  37. Epistasis, the phenomenon where the effect of one gene (or variant) is masked or modified by one or more other genes, significantly contributes to the phenotypic variance of complex traits. Traditionally, epis...

    Authors: Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore and Ting Hu
    Citation: BioData Mining 2024 17:61
    Content type: Research Published on:

  39. Bladder cancer (BLCA) is a tumor that affects men more than women. The biological function and prognostic value of androgen-responsive genes (ARGs) in BLCA are currently unknown. To address this, we establishe...

    Authors: Jiang Zhao, Qian Zhang, Cunle Zhu, Wu Yuqi, Guohui Zhang, Qianliang Wang, Xingyou Dong, Benyi Li and Xiangwei Wang
    Citation: BioData Mining 2024 17:59
    Content type: Research Published on:

  40. The transformative feature of Artificial Intelligence (AI) is the massive capacity for interpreting and transforming unstructured data into a coherent and meaningful context. In general, the potential that AI ...

    Authors: Shilpa R. Thandla, Grace Q. Armstrong, Adil Menon, Aashna Shah, David L. Gueye, Clara Harb, Estefania Hernandez, Yasaswini Iyer, Abigail R. Hotchner, Riddhi Modi, Anusha Mudigonda, Maria A. Prokos, Tharun M. Rao, Olivia R. Thomas, Camilo A. Beltran, Taylor Guerrieri…
    Citation: BioData Mining 2024 17:58
    Content type: Research Published on:

  41. Long terminal repeats (LTRs) represent important parts of LTR retrotransposons and retroviruses found in high copy numbers in a majority of eukaryotic genomes. LTRs contain regulatory sequences essential for t...

    Authors: Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky and Matej Lexa
    Citation: BioData Mining 2024 17:57
    Content type: Research Published on:

    The Correction to this article has been published in BioData Mining 2024 17:62

  42. Gliomas are primary malignant brain tumors with a typically poor prognosis, exhibiting significant heterogeneity across different cancer types. Each glioma type possesses distinct molecular characteristics det...

    Authors: Nina Kastendiek, Roberta Coletti, Thilo Gross and Marta B. Lopes
    Citation: BioData Mining 2024 17:56
    Content type: Research Published on:

  43. Multimodal brain network analysis enables a comprehensive understanding of neurological disorders by integrating information from multiple neuroimaging modalities. However, existing methods often struggle to e...

    Authors: Zhaoming Kong, Rong Zhou, Xinwei Luo, Songlin Zhao, Ann B. Ragin, Alex D. Leow and Lifang He
    Citation: BioData Mining 2024 17:55
    Content type: Research Published on:

  44. This research presents a predictive model aimed at estimating the progression of Amyotrophic Lateral Sclerosis (ALS) based on clinical features collected from a dataset of 50 patients. Important features inclu...

    Authors: Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih and Hussain Alsalman
    Citation: BioData Mining 2024 17:54
    Content type: Research Published on:

    The Correction to this article has been published in BioData Mining 2025 18:5

  45. Advances in high-throughput technologies have originated an ever-increasing availability of omics datasets. The integration of multiple heterogeneous data sources is currently an issue for biology and bioinfor...

    Authors: Mitja Briscik, Gabriele Tazza, László Vidács, Marie-Agnès Dillies and Sébastien Déjean
    Citation: BioData Mining 2024 17:53
    Content type: Research Published on:

  46. Timely identification of deteriorating patients is crucial to prevent the progression to cardiac arrest. However, current methods predicting emergency department cardiac arrest are primarily static, rule-based...

    Authors: Yuan-Xiang Deng, Jyun-Yi Wang, Chia-Hsin Ko, Chien-Hua Huang, Chu-Lin Tsai and Li-Chen Fu
    Citation: BioData Mining 2024 17:52
    Content type: Research Published on:

  47. Regulatory T cells (Tregs) play a critical role in shaping the immunosuppressive microenvironment within tumors. Investigating the role of Tregs in Clear cell renal cell carcinoma (ccRCC) is crucial for identi...

    Authors: Yang Qixin, Huang Jing, He Jiang, Liu Xueyang, Yu Lu and Li Yuehua
    Citation: BioData Mining 2024 17:51
    Content type: Research Published on:

  48. Alzheimer’s disease (AD) is a highly heritable brain dementia, along with substantial failure of cognitive function. Large-scale genome-wide association studies (GWASs) have led to a set of SNPs significantly ...

    Authors: Pradeep Varathan Pugalenthi, Bing He, Linhui Xie, Kwangsik Nho, Andrew J. Saykin and Jingwen Yan
    Citation: BioData Mining 2024 17:50
    Content type: Research Published on:

  49. Membranous nephropathy (MN) and IgA nephropathy (IgAN) pose challenges in clinical treatment with existing therapies primarily focusing on symptom relief and often yielding unsatisfactory outcomes. The search ...

    Authors: Xinyi Xu, Changhong Miao, Shirui Yang, Lu Xiao, Ying Gao, Fangying Wu and Jianbo Xu
    Citation: BioData Mining 2024 17:49
    Content type: Research Published on:

  50. Alzheimer’s disease (AD) is an advanced and incurable neurodegenerative disease. Genetic variations are intrinsic etiological factors contributing to the abnormal expression of brain function and structure in ...

    Authors: Jingru Wang, Shipeng Wen, Wenjie Liu, Xianglian Meng and Zhuqing Jiao
    Citation: BioData Mining 2024 17:48
    Content type: Research Published on:
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BioData Mining

ISSN: 1756-0381