- Mohamed Mustaf Ahmed, Olalekan John Okesanya, Majd Oweidat, Zhinya Kawa Othman, Shuaibu Saidu Musa, Don Eliseo Lucero-Prisno III. The ethics of data mining in healthcare: challenges, frameworks, and future directions. BioData Mining, 18(1), 2025.
- Zhong Chen 0003, Zichen Lao, You Lu, Wensheng Zhang 0005, Andrea Edwards, Kun Zhang 0012. Decoding ancestry-specific genetic risk: interpretable deep feature selection reveals prostate cancer SNP disparities in diverse populations. BioData Mining, 18(1), 2025.
- Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez, Jason H. Moore. Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph. BioData Mining, 18(1), 2025.
- Yanpeng Jian, Shijia Dong, Weijie Liu, Genfeng Li, Xiaoyu Lian, Yigong Wang. Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study. BioData Mining, 18(1), 2025.
- Tai-Hoon Kim, Asma Aldrees, Dina Abdulaziz AlHammadi, Muhammad Umer, Taoufik Saidani, Shtwai Alsubai, Imran Ashraf 0003. MediNet: ensemble transfer learning approach for classification of medical drugs-related text reviews using significant combined-embeddings. BioData Mining, 18(1), 2025.
- Seda Ceylan, Didem Demir, Cayla Harris, Semih Latif Ipek, Vasileios Vavourakis, Marco Manca 0002, Sandrine Dubrac, Roman Bauer 0001. Skin in the game: a review of computational models of the skin. BioData Mining, 18(1), 2025.
- Rehman Abbas, Naijie Gu, Stephen Ojo, Thomas I. Nathaniel, Nagwan Abdelsamee, Muhammad Umer, Mona M. Jamjoom. FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis. BioData Mining, 18(1), 2025.
- Davide Chicco, Alessandro Fabris, Giuseppe Jurman. The Venus score for the assessment of the quality and trustworthiness of biomedical datasets. BioData Mining, 18(1), 2025.
- Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini. Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer's disease progression study. BioData Mining, 18(1), 2025.
- Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta. A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks. BioData Mining, 18(1), 2025.