医学 AI - arXivDaily 专题

2304.05448 2023-06-30 cs.CV cs.LG 81%

Scale-Space Hypernetworks for Efficient Biomedical Imaging

Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca

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

Comments Code available at https://github.com/JJGO/scale-space-hypernetworks

2303.07240 2023-03-14 cs.CV cs.CL cs.LG cs.MM 81%

PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie

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

Comments 10 pages, 3 figures

2209.15180 2022-11-24 eess.IV cs.CV 81%

SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data

Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai

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

Comments accepted to AAAI2023

2203.11178 2022-05-24 cs.LG eess.SP physics.med-ph 81%

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance

Qinqin Yang, Zi Wang, Kunyuan Guo, Congbo Cai, Xiaobo Qu

专题命中生物医学文本：biomedical(title,abstract)；分类 cs.LG、eess.SP

2205.09678 2022-05-20 cs.CV cs.AI cs.LG 81%

Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context

Adrián Inés, Andrés Díaz-Pinto, César Domínguez, Jónathan Heras, Eloy Mata, Vico Pascual

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

2203.00332 2022-03-02 cs.LG cs.CV 81%

Towards IID representation learning and its application on biomedical data

Jiqing Wu, Inti Zlobec, Maxime Lafarge, Yukun He, Viktor H. Koelzer

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

Comments The paper is accepted by MIDL 2022--full paper track

2008.02195 2020-10-22 cs.LG cs.ET eess.SP 81%

Machine Learning in Nano-Scale Biomedical Engineering

Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris A. Tegos, Vasilis K. Papanikolaou, George K. Karagiannidis

专题命中生物医学文本：biomedical(title,abstract)；分类 cs.LG、eess.SP

Comments 27 pages, 15 figures, 1 table, Journal paper

2001.10285 2020-09-17 cs.CY cs.SI q-bio.QM 81%

Mining social media data for biomedical signals and health-related behavior

Rion Brattig Correia, Ian B. Wood, Johan Bollen, Luis M. Rocha

专题命中生物医学文本：biomedical(title,abstract)；分类 q-bio

Comments To appear in the Annual Review of Biomedical Data Science

Journal ref Annual Review of Biomedical Data Science, 3:1 (2020)

1802.10458 2018-11-02 cs.LG eess.SP 81%

A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications

Hamid Soleimani, Aliasghar, Makhlooghpour, Wilten Nicola, Claudia Clopath, Emmanuel. M. Drakakis

专题命中生物医学文本：biomedical(title,abstract)；分类 cs.LG、eess.SP

2509.00806 2025-09-03 cs.CL cs.AI cs.LG 80%

CaresAI at BioCreative IX Track 1 -- LLM for Biomedical QA

Reem Abdel-Salam, Mary Adewunmi, Modinat A. Abayomi

机构 * Cairo University, Faculty of Engineering, Computer Engineering Department（开罗大学工程学院计算机工程系）； Menzies School of Health Research, Charles Darwin University, NT, Australia（梅恩兹健康研究学院，查尔斯达尔文大学，澳大利亚NT）； Department of Biology, Boston College, Massachusetts, USA（生物学系，波士顿学院，马萨诸塞州，美国）； Peoples' Friendship University of Russia (RUDN University)（俄罗斯人民友谊大学（RUDN大学））； Joint Institute for Nuclear Research（联合核研究中心）； Vrije Universiteit Amsterdam（阿姆斯特丹自由大学）； University of Skövde（斯德哥尔摩大学）

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

Comments Proceedings of the BioCreative IX Challenge and Workshop (BC9): Large Language Models for Clinical and Biomedical NLP at the International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 2025

2403.04261 2024-09-02 cs.AI cs.CL cs.LG 80%

Advancing Chinese biomedical text mining with community challenges

Hui Zong, Rongrong Wu, Jiaxue Cha, Weizhe Feng, Erman Wu, Jiakun Li, Aibin Shao, Liang Tao, Zuofeng Li, Buzhou Tang, Bairong Shen

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

Journal ref Journal of Biomedical Informatics. 2024;157:104716.

2201.01647 2024-07-09 cs.AI cs.CL cs.IR cs.LG 80%

Comparison of biomedical relationship extraction methods and models for knowledge graph creation

Nikola Milosevic, Wolfgang Thielemann

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

Comments Paper submitted to Journal of Semantic Web

Journal ref Nikola Milosevic, Wolfgang Thielemann, Comparison of biomedical relationship extraction methods and models for knowledge graph creation, Journal of Web Semantics, 2022, 100756, ISSN 1570-8268,

2311.12439 2023-11-22 cs.LG cs.AR 80%

Harnessing FPGA Technology for Enhanced Biomedical Computation

Nisanur Alici, Kayode Inadagbo, Murat Isik

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

Comments Submitted to IEEE Transactions on Biomedical Circuits and Systems. arXiv admin note: substantial text overlap with arXiv:2307.07914

2301.09350 2023-10-06 cs.CL cs.DL cs.LG 80%

Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature

Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras

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

Comments 26 pages, 5 figures, 4 tables. A more concise version

Journal ref Journal of Biomedical Informatics, Volume 146, 2023, 104499, ISSN 1532-0464

2111.08634 2021-11-17 cs.CL cs.LG 80%

NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21

Sandeep Subramanian, Oleksii Hrinchuk, Virginia Adams, Oleksii Kuchaiev

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

Comments WMT'21 news and biomedical shared task submission

1809.06442 2018-10-29 cs.CV 80%

LMap: Shape-Preserving Local Mappings for Biomedical Visualization

Saad Nadeem, Xianfeng Gu, Arie Kaufman

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

Comments IEEE Transactions on Visualization and Computer Graphics, 24(12): 3111-3122, 2018 (12 pages, 11 figures)

Journal ref S. Nadeem, X. Gu, and A. Kaufman. LMap: Shape-Preserving Local Mappings for Biomedical Visualization. IEEE Transactions on Visualization and Computer Graphics, 24(12):3111-3122, 2018

1212.2262 2016-11-17 cs.LG cs.AI 80%

Bag-of-Words Representation for Biomedical Time Series Classification

Jin Wang, Ping Liu, Mary F. H. She, Saeid Nahavandi, and Abbas Kouzani

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

Comments 10 pages, 7 figures. Submitted to IEEE Transaction on Biomedical Engineering

2608.05982 2026-08-07 cs.LG q-bio.QM 新提交 80%

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction

THBKG：用于决策对齐的临床进展预测的时间生物医学知识图谱

Pui Chung Siu, Claudia Cabrera, Mani Mudaliar, Arkaitz Zubiaga

机构 * Queen Mary University of London（伦敦玛丽女王大学）； Recursion Pharmaceuticals Inc.（Recursion制药公司）

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

AI总结该研究提出THBKG时间生物医学知识图谱，通过图传播方法预测靶点-疾病对的临床进展，在无直接证据的对中表现优异，还提供可解释预测的路径解释器。

Comments 19 pages, 11 figures, 8 tables

2607.20163 2026-08-06 q-bio.QM cs.DB cs.LG 版本更新 80%

Plausibility-Driven Prioritization of Candidate Biomedical Annotations

基于合理性驱动的候选生物医学注释优先级排序

Emanuele Cavalleri, Miad Alavinezhad, Dario Malchiodi, Marco Mesiti

机构 * Department of Computer Science（计算机科学系）； University of Milano（米兰大学）

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

AI总结针对生物医学注释验证瓶颈，提出利用生物医学知识图谱估计候选注释合理性的框架。通过基于社区的负采样策略训练分类器，引入合理性度量，实验表明该方法提高了分类器鲁棒性和注释优先级排序有效性，提升了人工智能辅助生物医学编目的效率。

2408.13378 2026-07-07 cs.AI cs.CL cs.IR cs.LG q-bio.QM 版本更新 80%

DrugAgent: Reliable Multi-Agent Integration of Conflicting Biomedical Evidence for Drug-Target Interaction Assessment

DrugAgent：用于药物-靶点相互作用评估的冲突生物医学证据的可靠多智能体整合

Yoshitaka Inoue, Tianci Song, Xinling Wang, Rui Kuang, Tianfan Fu, Augustin Luna

机构 * Department of Computer Science and Engineering, University of Minnesota（计算机科学与工程系，明尼苏达大学）； Computational Biology Branch, National Library of Medicine（国家医学图书馆计算生物学分支）； Khoury College of Computer Sciences, Northeastern University（东北大学计算机科学学院）； State Key Laboratory for Novel Software Technology at Nanjing University, School of Computer Science, Nanjing University（南京大学新型软件技术国家重点实验室，南京大学计算机科学学院）； Developmental Therapeutics Branch, National Cancer Institute（国家癌症研究所发育治疗分支）

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

AI总结研究药物-靶点相互作用评估中整合异构数据问题，核心方法是基于大语言模型的多智能体系统DrugAgent，贡献是能进行异构证据支持的DTI评估，补充独立DTI预测，还提供相关策略。

2606.18420 2026-06-18 cs.LG q-bio.QM stat.ML 新提交 80%

Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction

测量噪声限制了非线性模型在生物医学预测中相对于线性模型的优势

Marc-Andre Schulz, Kerstin Ritter

机构 * Hertie Institute for AI in Brain Health, University of Tübingen（赫蒂人工智能脑健康研究所，图宾根大学）； Tübingen AI Center, University of Tübingen（图宾根人工智能中心，图宾根大学）； Department of Psychiatry and Neurosciences, Charité – Universitätsmedizin Berlin（精神病学与神经科学系，柏林夏里特医学院）； Bernstein Center for Computational Neuroscience, Berlin（伯恩斯坦计算神经科学中心，柏林）； German Center for Mental Health (DZPG), partner site Tübingen（德国心理健康中心（DZPG），图宾根合作站点）

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

AI总结本文指出，在生物医学表格数据中，测量噪声会削弱非线性结构，导致非线性模型与线性模型性能相当，并提出了一个精确的超额风险恒等式，揭示了测量可靠性、样本量和特征表示三个条件必须同时满足才能体现非线性优势。

2211.13231 2026-03-18 q-bio.QM cs.LG 80%

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks

利用图神经网络的概率模型选择预测生物医学相互作用

Kishan KC, Rui Li, Paribesh Regmi, Anne R. Haake

机构 * Amazon（亚马逊）

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

AI总结本文提出基于概率模型选择的框架，通过推断最合适的图卷积层数量、应用dropout正则化和学习网络参数，提升生物医学相互作用预测的性能和校准度。

2509.04458 2026-01-07 cs.CL 80%

Predicting Failures of LLMs to Link Biomedical Ontology Terms to Identifiers Evidence Across Models and Ontologies

预测大型语言模型在跨模型和本体学链接生物医学本体术语到标识符时的失败证据

Daniel B. Hier, Steven Keith Platt, Tayo Obafemi-Ajayi

机构 * Department of Neurology（神经学系）； Rehabilitation University of Illinois at Chicago Chicago, IL, USA（伊利诺伊大学芝加哥分校康复学院）； Lab for Applied Artificial Intelligence（应用人工智能实验室）； Engineering Program（工程学院）

专题命中生物医学文本：biomedical(title,abstract)

AI总结本研究探讨了大型语言模型在跨本体链接生物医学术语与标识符时的失败原因，发现对本体标识符的暴露是预测链接成功的关键因素。

Comments Accepted for Presentation, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 25), Atlanta GA USA, October 26-29, 2025

Journal ref 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Atlanta, GA, USA, 2025, pp. 1-7

2409.04103 2025-11-07 cs.LG cs.AI q-bio.QM 80%

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models

Alberto Cattaneo, Stephen Bonner, Thomas Martynec, Edward Morrissey, Carlo Luschi, Ian P Barrett, Daniel Justus

机构 * Graphcore Research（Graphcore研究机构）

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

2510.09914 2025-10-14 cs.LG cs.AI q-bio.QM 80%

Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery

Aditya Malusare, Vineet Punyamoorty, Vaneet Aggarwal

机构 * Edwardson School of Industrial Engineering and the Institute of Cancer Research, Purdue University（埃德沃兹工业工程学院和癌症研究所，普渡大学）； Elmore Family School of Electrical and Computer Engineering, Purdue University（埃尔摩家庭电气与计算机工程学院，普渡大学）

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

Comments This paper has been accepted for publication in the IEEE Transactions on Artificial Intelligence, October 2025

2508.21484 2025-09-03 q-bio.QM cs.LG stat.ML 80%

Data-driven Discovery of Digital Twins in Biomedical Research

Clémence Métayer, Annabelle Ballesta, Julien Martinelli

机构 * Inserm U1331, Institut Curie Saint-Cloud, France（法国国家医学研究院U1331，圣克鲁医院）； Aalto University Espoo, Finland（芬兰艾尔托大学）

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

2506.01478 2025-06-03 cs.LG cs.CL cs.MM q-bio.QM 80%

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions

Tung-Lam Ngo, Ba-Hoang Tran, Duy-Cat Can, Trung-Hieu Do, Oliver Y. Chén, Hoang-Quynh Le

机构 * VNU University of Engineering and Technology (VNU-UET)（越南工程技术大学）； Lausanne University Hospital (CHUV)（洛桑大学医院）； University of Lausanne (UNIL)（洛桑大学）； Hanoi Medical University（河内医学院）； National Geriatric Hospital, Hanoi（河内国立老年医院）

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

2502.13140 2025-02-21 q-bio.QM cs.LG 80%

Towards Quantum Tensor Decomposition in Biomedical Applications

Myson Burch, Jiasen Zhang, Gideon Idumah, Hakan Doga, Richard Lartey, Lamis Yehia, Mingrui Yang, Murat Yildirim, Mihriban Karaayvaz, Omar Shehab, Weihong Guo, Ying Ni, Laxmi Parida, Xiaojuan Li, Aritra Bose

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

Comments 31 pages, 7 figures

2412.05770 2024-12-10 cs.LG q-bio.BM 80%

KITE-DDI: A Knowledge graph Integrated Transformer Model for accurately predicting Drug-Drug Interaction Events from Drug SMILES and Biomedical Knowledge Graph

Azwad Tamir, Jiann-Shiun Yuan

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

Comments 18 pages, 8 figures, 5 Tables, This work has been submitted to IEEE for possible publication

2309.03227 2024-07-25 cs.AI cs.CL cs.LG q-bio.QM 80%

Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning Candidates

Yongseung Jegal, Jaewoong Choi, Jiho Lee, Ki-Su Park, Seyoung Lee, Janghyeok Yoon

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

Comments We are sorry to withdraw this paper. We found some critical errors in the introduction and results sections. Specifically, we found that the first author have wrongly inserted citations on background works and he made mistakes in the graph embedding methods and relevant results are wrongly calculated. In this regard, we tried to revise this paper and withdraw the current version. Thank you

1. 生物医学文本 4499 篇

Scale-Space Hypernetworks for Efficient Biomedical Imaging

PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance

Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context

Towards IID representation learning and its application on biomedical data

Machine Learning in Nano-Scale Biomedical Engineering

Mining social media data for biomedical signals and health-related behavior

A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications

CaresAI at BioCreative IX Track 1 -- LLM for Biomedical QA

Advancing Chinese biomedical text mining with community challenges

Comparison of biomedical relationship extraction methods and models for knowledge graph creation

Harnessing FPGA Technology for Enhanced Biomedical Computation

Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature

NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21

LMap: Shape-Preserving Local Mappings for Biomedical Visualization

Bag-of-Words Representation for Biomedical Time Series Classification

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction

Plausibility-Driven Prioritization of Candidate Biomedical Annotations

DrugAgent: Reliable Multi-Agent Integration of Conflicting Biomedical Evidence for Drug-Target Interaction Assessment

Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks

Predicting Failures of LLMs to Link Biomedical Ontology Terms to Identifiers Evidence Across Models and Ontologies

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models

Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery

Data-driven Discovery of Digital Twins in Biomedical Research

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions

Towards Quantum Tensor Decomposition in Biomedical Applications

KITE-DDI: A Knowledge graph Integrated Transformer Model for accurately predicting Drug-Drug Interaction Events from Drug SMILES and Biomedical Knowledge Graph

Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning Candidates