生物学
Paper Review Records
全部论文审稿周期
11 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接
Integrative evidence-knowledge marker selection enhances LLM-based cell type annotation in single-cell RNA-seq analysis
作者Jiyeong Shin; Soyoung Jeong; Hyun Je Kim; Minsik Oh
作者单位1. Department of Artificial Intelligence, Myongji University, Seoul, Republic of Korea; 2. Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea; 3. Genomic Medicine Institute, Seoul National University Medical Research Center, Seoul, Republic of Korea; 4. Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea; 5. Interdisciplinary Program in Artificial Intelligence (IPAI), Seoul National University, Seoul, Republic of Korea
Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data
作者Mohammad Bakhtiari; Maria Louise Elkjaer; Ali Oğuz Can; Fabian Theis; Mhaned Oubounyt; Jan Baumbach
作者单位1. Institute for Computational Systems Biomedicine, University of Hamburg, Hamburg, Germany; 2. Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Copenhagen, Denmark; 3. Institute of Computational Biology, Helmholtz Center, Munich, Germany; 4. TUM School of Life Sciences, Technical University of Munich, Munich, Germany; 5. TUM, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany; 6. Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark
EMMA-STRAT: a multi-omics based machine learning framework for stratification of endometrial carcinoma molecular subtypes and MSI status
作者Naisarg Patel; Andres Salumets; Vijayachitra Modhukur
作者单位1. Celvia CC AS, Tartu, Estonia; 2. Department of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia; 3. Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institute, and Karolinska University Hospital, Stockholm, Sweden
Chest-X-ray based deep feature-driven framework for anemia detection insights from a large hospital cohort
作者Hao-Chun Liao; Dung-Jang Tsai; Shan-Yueh Chang; Chin Lin; Shih-Hua Lin; Wen-Hui Fang
作者单位1. Department of Internal Medicine, Tri-Service General Hospital, and School of Medicine, National Defense Medical University, Taipei, Taiwan, Republic of China; 2. Department of Artificial Intelligence and Internet of Things, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan, Republic of China; 3. Medical Technology Education Center, School of Medicine, National Defense Medical University, Taipei, Taiwan, Republic of China; 4. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, and School of Medicine, National Defense Medical University, Taipei, Taiwan, Republic of China; 5. Department of Education and Research, Taipei City Hospital, Taipei, Taiwan, Republic of China; 6. Division of Nephrology, Department of Internal Medicine, Tri-Service General Hospital, Taipei, Taiwan, Republic of China; 7. Department of Family and Community Medicine, Tri-Service General Hospital, and School of Medicine, National Defense Medical University, Taipei, Taiwan, Republic of China
Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review
作者Salvatore D’Antona; Mawada Elmagboul Abdalla Abakar; Daniele Ramazzotti; Marco Antoniotti; Alex Graudenzi
作者单位1. Department of Informatics, Systems, and Communication, University of Milan-Bicocca, Milan, Italy; 2. Department of Medicine, and Surgery, University of Milan-Bicocca, Monza, Italy; 3. Bicocca Bioinformatics Biostatistics, and Bioimaging Centre – B4, Milan, Italy; 4. BReCHS Bicocca Research Centre in Health Services, Milan, Italy
Cardio-respiratory deep learning model to predict hospital admission from emergency department electrocardiogram images and respiration videos: a prospective study
作者Guang-Yuan Chen; Shao-Chi Lu; Wen-Hsiang Cheng; Jun-Wan Gao; Jen-Tang Sun; Chien-Hua Huang; Chu-Lin Tsai; Li-Chen Fu
作者单位1. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan; 2. Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; 3. Department of Emergency Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan; 4. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
Automatic extraction of mesenchymal stromal cells from single-cell RNA-sequencing data of human dental pulp
作者Daigo Okada; Tomoko Takeda-Kawaguchi; Ken-Ichi Tezuka
作者单位1. Stem Cell and Regenerative Medicine, Gifu University Graduate School of Medicine, Gifu, Japan; 2. Division of Preemptive Food Research, Preemptive Food Research Center (PFRC), Gifu University Institute for Advanced Study, Gifu, Japan; 3. National Institute of Informatics, Tokyo, Japan; 4. Oral and Maxillofacial Surgery, Gifu University Graduate School of Medicine, Gifu, Japan; 5. Center for One Medicine Innovative Translational (COMIT) Research, Gifu University Institute for Advanced Study, Gifu, Japan
Learning a distance for the clustering of patients with amyotrophic lateral sclerosis
作者Guillaume Tejedor Y. Dominguez; Hugo Alarcan; Veronika Peralta; Nicolas Labroche; Philippe Corcia; Patrick Marcel; Hélène Blasco
作者单位1. Laboratory of Fundamental and Applied Computer Science of Tours, University of Tours, Tours, France; 2. Department of Biochemistry and Molecular Biology, Centre Hospitalier Universitaire de Tours, Tours, France; 3. UMR U1253 iBrain (INSERM), University of Tours, Tours, France; 4. Neurology unit, ALS center, Centre Hospitalier Universitaire de Tours, Tours, France; 5. Université d’Orléans, INSA CVL, LIFO, UR 4022, Orléans, France
Multi-domain feature fusion with variational mode decomposition and hybrid LightGBM-Logistic Regression for multi-class seizure classification
作者A. Aameer Arshath; D. Karthikeyan
作者单位1. Vellore Institute of Technology, School of Computer Science Engineering and Information Systems, Vellore, India
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