医学 AI

Sporadic Creutzfeldt Jakob disease presenting with cerebral atrophy following traumatic brain injury mimicking hydrocephalus a case report and literature review

散发性克雅氏病继发创伤性脑损伤后出现脑萎缩 mimic 梗阻性脑积水的病例报告及文献综述

Chun Zeng, Dezhu Gao, Liang Wu

专题命中 生物医学文本 ：MRI(abstract)；CT(abstract)；diagnosis(abstract)；分类 q-bio

AI总结 散发性克雅氏病继发创伤性脑损伤后出现脑萎缩 mimic 梗阻性脑积水的病例报告及文献综述，通过病例分析和文献回顾，探讨了CJD的诊断过程及鉴别诊断的重要性。

Comments 7 pages, 2 figures, 1 table. Submitted to Brain and Spine

Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications

Yuchen Xiang, Zhaolu Liu, Monica Emili Garcia-Segura, Daniel Simon, Boxuan Cao, Vincen Wu, Kenneth Robinson, Yu Wang, Ronan Battle, Robert T. Murray, Xavier Altafaj, Luca Peruzzotti-Jametti, Zoltan Takats

专题命中 生物医学文本 ：biomedical(title)；分类 cs.CV、eess.IV

Leveraging Different Learning Styles for Improved Knowledge Distillation in Biomedical Imaging

Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula

专题命中 生物医学文本 ：biomedical(title)；分类 cs.CV、cs.LG

Comments Accepted in Computers in Biology and Medicine

Video-Streaming Biomedical Implants using Ultrasonic Waves for Communication

Gizem Tabak, Jae Won Choi, Rita J. Miller, Michael L. Oelze, Andrew C. Singer

专题命中 生物医学文本 ：biomedical(title)；分类 eess.IV、eess.SP

Comments arXiv admin note: text overlap with arXiv:1909.13172

A framework for information extraction from tables in biomedical literature

Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic

专题命中 生物医学文本 ：biomedical(title)；分类 cs.CV、cs.LG

Comments 24 pages

Journal ref 2019, International Journal on Document Analysis and Recognition (IJDAR)

Advancing Italian Biomedical Information Extraction with Transformers-based Models: Methodological Insights and Multicenter Practical Application

Claudio Crema, Tommaso Mario Buonocore, Silvia Fostinelli, Enea Parimbelli, Federico Verde, Cira Fundarò, Marina Manera, Matteo Cotta Ramusino, Marco Capelli, Alfredo Costa, Giuliano Binetti, Riccardo Bellazzi, Alberto Redolfi

专题命中 生物医学文本 ：biomedical(title,journal_ref)；分类 cs.LG

Comments 2 figures, 6 tables, Supplementary Notes included

Journal ref Journal of Biomedical Informatics, Volume 148, 2023, 104557, ISSN 1532-0464

MultiGBS: A multi-layer graph approach to biomedical summarization

Ensieh Davoodijam, Nasser Ghadiri, Maryam Lotfi Shahreza, Fabio Rinaldi

专题命中 生物医学文本 ：biomedical(title,journal_ref)；分类 cs.LG

Journal ref Journal of Biomedical Informatics, Available online 18 February 2021, 103706

Multi-view biomedical foundation models for molecule-target and property prediction

多视图生物医学基础模型用于分子-靶点和性质预测

Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzman Saenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone

机构 * IBM TJ Watson Research Center（IBM TJ Watson研究中心） ； Lerner Research Institute（Lerner研究机构） ； Cleveland Clinic Genome Center（克利夫兰诊所基因组中心） ； IBM Research - Almaden（IBM Research-阿玛登） ； IBM Research（IBM研究） ； Cleveland Clinic Lerner College of Medicine, Case Western Reserve University（克利夫兰诊所Lerner医学院，凯斯西储大学） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG、q-bio

AI总结 本文提出多视图生物医学基础模型MMELON，通过整合图、图像和文本视图，提升分子-靶点及性质预测的性能与准确性。

Comments 40 pages including supplement. 10 figures, 8 tables

Journal ref Advanced Science (2026) e17840

VillageNet: Graph-based, Easily-interpretable, Unsupervised Clustering for Broad Biomedical Applications

VillageNet：基于图的、易于解释的、无监督聚类用于广泛生物医学应用

Aditya Ballal, Gregory A. DePaul, Esha Datta, Asuka Hatano, Erik Carlsson, Ye Chen-Izu, Javier E. López, Leighton T. Izu

机构 * Department of Pharmacology, University of California, Davis, California, United States（加州大学戴维斯分校药理学系） ； Department of Mathematics, University of California, Davis, California, United States（加州大学戴维斯分校数学系） ； Sandia National Laboratories, Albuquerque, NM, 87108, USA（桑迪亚国家实验室） ； Mechanical Engineering Department, the University of Tokyo, Tokyo, Japan（东京大学机械工程系） ； Biomedical Engineering, University of California, Davis, California, United States（加州大学戴维斯分校生物医学工程系） ； Internal Medicine, University of California, Davis, California, United States（加州大学戴维斯分校内科医学系） ； Cardiovascular Medicine, University of California, Davis, California, United States（加州大学戴维斯分校心血管医学系） ； Cardiovascular Research Institute, University of California, Davis, California, United States（加州大学戴维斯分校心血管研究所） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG、q-bio

AI总结 VillageNet通过基于图的无监督聚类方法，实现了对高维生物医学数据的高效且可解释的聚类，适用于广泛的应用场景。

Comments Software available at https://villagenet.streamlit.app/ Github Link: https://github.com/lordareicgnon/VillageNet

Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems

Nikita Sivakumar, Cameron Mura, Shayn M. Peirce

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG、q-bio

Comments 32 pages, 1 table, 8 figures

Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs

Stephen Bonner, Ufuk Kirik, Ola Engkvist, Jian Tang, Ian P Barrett

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG、q-bio

Comments Briefings in Bioinformatics, 2022

Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model

Kevin Lybarger, Aashka Damani, Martin Gunn, Ozlem Uzuner, Meliha Yetisgen

专题命中 生物医学文本 ：medical image(abstract)；diagnosis(abstract)；radiology(abstract)

Jumping across biomedical contexts using compressive data fusion

Marinka Zitnik, Blaz Zupan

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG、q-bio

Comments In Proceedings of the 24th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2016

Journal ref Bioinformatics, 32 (12): i90-i100 (2016)

Ferrofluids and magnetically guided superparamagnetic particles in flows: A review of simulations and modeling

S. Afkhami, Y. Renardy

专题命中 生物医学文本 ：MRI(abstract)；diagnosis(abstract)；biomedical(abstract)

Quantization Effects on Biomedical LLM Reliability

量化对生物医学大语言模型可靠性的影响

Anton Rasmussen, Hong Qin

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

AI总结 该研究针对 Mistral-7B 变体在 PubMed RCT 句子分类任务上，评估量化及提示模板、评分规则等对生物医学大语言模型可靠性的影响，发现这些因素对校准和准确率的影响不可忽视。

Comments 8 pages, 1 figure

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation

VesselTok: 基于血管状3D生物医学图表示的分词方法用于重建与生成

Chinmay Prabhakar, Bastian Wittmann, Tamaz Amiranashvili, Paul Büschl, Ezequiel de la Rosa, Julian McGinnis, Benedikt Wiestler, Bjoern Menze, Suprosanna Shit

机构 * University of Zurich, Switzerland（苏黎世大学） ； ETH AI Center, Zurich, Switzerland（苏黎世联邦理工学院人工智能中心） ； Technical University of Munich, Germany（慕尼黑技术大学） ； Munich Center for Machine Learning (MCML), Germany（慕尼黑机器学习中心（MCML）） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.CV

AI总结 本文提出VesselTok框架，通过参数化形状视角学习血管状结构的潜在表示，实现复杂拓扑结构的稳健编码，并在不同解剖学中展示其生成和逆向问题应用的能力。

Comments Accepted to ECCV 2026

Teager-Kaiser Energy Methods For EEG Feature Extraction In Biomedical Applications

Teager-Kaiser能量方法在生物医学应用中用于EEG特征提取

Ioanna Chourdaki, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

专题命中 生物医学文本 ：biomedical(title)；分类 eess.SP

AI总结 本文研究非线性Teager-Kaiser能量算子（TKEO）在运动想象、情绪识别和癫痫检测三个任务中建模EEG能量动态，通过Gabor滤波器组和能量分离算法提取能量描述符，并与传统特征比较，发现TKEO特征在癫痫检测中平衡准确率提升约15%，在运动想象中略有提升，在情绪识别中性能相当。

Comments Accepted to EUSIPCO 2026

Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs

图自监督学习在现实世界噪声中的鲁棒性：基于文本驱动的生物医学图的案例研究

Othmane Kabal, Mounira Harzallah, Fabrice Guillet, Hideaki Takeda, Ryutaro Ichise

机构 * National Institute of Informatics（国家信息研究所） ； Institute of Science Tokyo（东京科学研究所） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

AI总结 本文研究了图自监督学习在现实世界噪声下的鲁棒性，提出NATD-GSSL框架，通过对比噪声图与清洁图评估方法，发现关系重建对噪声敏感而特征重建更鲁棒，GNN架构对噪声也有显著影响。

Less Finetuning, Better Retrieval: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging

更少微调，更好检索：通过合成数据和模型合并重新思考LLM适应于生物医学检索器

Sameh Khattab, Jean-Philippe Corbeil, Osman Alperen Koraş, Amin Dada, Julian Friedrich, François Beaulieu, Paul Vozila, Jens Kleesiek

机构 * IKIM, University Hospital Essen（IKIM，埃森大学医院） ； Microsoft Healthcare & Life Sciences（微软医疗与生命科学） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

AI总结 本文提出STM框架，通过合成数据和模型合并提升生物医学检索性能，实验显示在任务特定专家上提升23.5%并优于基线模型。

Comments Preprint

Hype or not? Formalizing Automatic Promotional Language Detection in Biomedical Research

Bojan Batalo, Erica K. Shimomoto, Neil Millar

机构 * National Institute of Advanced Industrial Science and Technology（国家工业科学与技术研究院） ； University of Tsukuba（筑波大学） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning

Fatemeh Azad, Zoran Bosnić, Matjaž Kukar

机构 * University of Ljubljana Faculty of Computer（卢布尔雅那大学计算机与信息科学学院） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining

Baqer M. Merzah, Tania Taami, Salman Asoudeh, Saeed Mirzaee, Amir reza Hossein pour, Amir Ali Bengari

机构 * Department of Computer Science, Faculty of Education, University of Kufa（计算机科学系，教育学院，科菲大学） ； Department of Computer Science, Florida State University（计算机科学系，佛罗里达州立大学） ； Department of Computer Engineering, Velayat University（计算机工程系，瓦莱yat大学） ； Department of Mechanical Engineering, Amirkabir University of Technology（机械工程系，阿米卡比尔技术大学） ； Department of Computer Engineering, Ferdowsi University of Mashhad（计算机工程系，法尔德大学） 纠错

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes

Vahan Arsenyan, Spartak Bughdaryan, Fadi Shaya, Kent Small, Davit Shahnazaryan

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning

Angelo Ziletti, Alan Akbik, Christoph Berns, Thomas Herold, Marion Legler, Martina Viell

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Comments NAACL-HLT 2022 Industry Track

Journal ref Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track

Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification

Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Jussi Tohka, Vanessa Gómez-Verdejo

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Comments 36 pages, 3 figures and 3 tables

HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research

Prerana Sanjay Kulkarni, Muskaan Jain, Disha Sheshanarayana, Srinivasan Parthiban

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Comments 8 pages, 3 figures, under review

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Comments Accepted at LREC-COLING 2024

Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER

Micheal Abaho, Danushka Bollegala, Gary Leeming, Dan Joyce, Iain E Buchan

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Comments Paper alrerady accepted for publishing by the NAACL 2024 conference (main conference paper)

StratMed: Relevance Stratification between Biomedical Entities for Sparsity on Medication Recommendation

Xiang Li, Shunpan Liang, Yulei Hou, Tengfei Ma

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Text2Cohort: Facilitating Intuitive Access to Biomedical Data with Natural Language Cohort Discovery

Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh

专题命中 生物医学文本 ：biomedical(title)；分类 cs.LG

Comments 5 pages, 3 figures, 2 tables