Nature Biomedical Engineering最新文献

{"title":"An interpretable AI model decodes the rules of cell recruitment to specific destinations.","authors":"","doi":"10.1038/s41551-026-01803-7","DOIUrl":"https://doi.org/10.1038/s41551-026-01803-7","url":null,"abstract":"","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":26.3,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149224547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Keeping psychedelics in mind","authors":"Rita Strack","doi":"10.1038/s41551-026-01813-5","DOIUrl":"10.1038/s41551-026-01813-5","url":null,"abstract":"","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"10 10","pages":"1987-1987"},"PeriodicalIF":26.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards physiologically relevant human tissue models","authors":"","doi":"10.1038/s41551-026-01824-2","DOIUrl":"10.1038/s41551-026-01824-2","url":null,"abstract":"Advances in organoids, organs-on-chips and microphysiological systems are bringing human tissue models closer to the physiological complexity needed to study disease, evaluate therapies and inform precision medicine.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"10 10","pages":"1979-1980"},"PeriodicalIF":26.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41551-026-01824-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering gut microbiome states overcomes hepatic accumulation of nanomedicines","authors":"Jennifer Haskell","doi":"10.1038/s41551-026-01811-7","DOIUrl":"10.1038/s41551-026-01811-7","url":null,"abstract":"","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"10 10","pages":"1988-1988"},"PeriodicalIF":26.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Animal numbers are not a proxy for scientific strength","authors":"","doi":"10.1038/s41551-026-01825-1","DOIUrl":"10.1038/s41551-026-01825-1","url":null,"abstract":"Judicious animal model design and selection, rather than experimental excess, is key to generating robust, informative and ethically responsible evidence in biomedical research.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"10 10","pages":"1981-1982"},"PeriodicalIF":26.3,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41551-026-01825-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From pandemic response to a global scientific network via Tissue Talks","authors":"Daniel Naveed Tavakol, Gordana Vunjak-Novakovic","doi":"10.1038/s41551-026-01816-2","DOIUrl":"10.1038/s41551-026-01816-2","url":null,"abstract":"Six years and more than 250 lectures after its launch as a pandemic response, Tissue Talks has reached over 50,000 attendees across more than 80 countries, offering a blueprint for how biomedical communities can maintain continuous global connection beyond the annual conference cycle.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"10 10","pages":"1983-1986"},"PeriodicalIF":26.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SpatialZoomer: multi-scale feature analysis of spatial transcriptomics.","authors":"Xinqi Li, Yuhan Fan, Yue Han, Wenbo Guo, Jingmin Huang, Nan Yan, Zeyu Chen, Yanhong Wu, Yuxin Miao, Lin Hou, Xuegong Zhang, Zeyu Chen, Jin Gu","doi":"10.1038/s41551-026-01800-w","DOIUrl":"https://doi.org/10.1038/s41551-026-01800-w","url":null,"abstract":"<p><p>Single-cell resolution spatial transcriptomics provides a great opportunity to explore the complex cellular contents in different tissues. Here we introduce SpatialZoomer, a spectral graph-based method that applies a set of low-pass filters to efficiently extract spatial molecular features from spatial transcriptomics data at multiple resolutions or scales, including the single cell scale, the niche scale with dozens of closely interacting cells and the domain scale with spatially organized cell contents. The corresponding critical scales can be automatically identified by partitioning a cross-scale similarity map. Results show that SpatialZoomer can identify disease-progression signals at specific scales in Alzheimer's disease and spatial context-dependent cell subtypes in tumour microenvironment. The extracted multi-scale features also uncovered spatially heterogeneous niches in cancer. SpatialZoomer achieves comparable or superior performance to existing methods for single-scale tasks, and it also has the advantages of high computational efficiency and low hardware requirements.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":26.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149183284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpretable AI model reveals spatial codes of cell recruitment in tissues.","authors":"Jia Yao, Ji Seon Shim, Kelly Wong, James Zhu, Yunhe Liu, Sung Wook Kang, Kelli McCord, Bryan M Burt, Jong Min Choi, Claire Lee, Idania Carolina Lubo Julio, Luisa Maren Solis Soto, Sharia Hernandez, Karen Colbert Maresso, Yang Liu, Yibo Dai, Tian Chu, Wei Lu, Khaja Khan, Paul F Mansfield, Hee-Jin Jang, William H Hudson, Tao Yue, Bing Zhang, Changwei Li, Linghua Wang, Hao Zhu, Hyun-Sung Lee, Tao Wang","doi":"10.1038/s41551-026-01804-6","DOIUrl":"10.1038/s41551-026-01804-6","url":null,"abstract":"<p><p>Understanding which molecular signals recruit specific cells to precise tissue locations is fundamental to tissue biology, immunity and disease. Existing computational tools for spatially resolved transcriptomics (SRT) describe where cells reside but cannot explain why. Here we introduce SPACER, a fully interpretable multi-instance learning framework that decodes gene-level recruitment rules directly from SRT data. Applied to 37 SRT datasets spanning multiple human tumour types and mouse heart, SPACER achieved 4-21-fold improvement over existing methods in various tasks of recovering biologically meaningful recruitment signals. SPACER revealed (1) that tumour-expressed mucins are associated with physical barriers to T cell engagement, which predicts resistance to immune checkpoint inhibitors and patient prognosis, (2) that local antigen presentation is the dominant correlate of T cell engagement across cancer types and (3) that Cd4⁺ T cells are the dominant functional effectors in severe immune checkpoint inhibitor-induced myocarditis. These findings establish SPACER as a discovery engine for cellular recruitment biology with direct translational applications.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":26.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149183273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repurposing adult AI radiograph models for neonatal care through continual learning: an international multicentre study.","authors":"Vishwanatha M Rao, Emma Chen, Agustina Saenz, Oishi Banerjee, Henrik Marklund, Lucas Bijnens, Sung Eun Kim, Evan Zucker, Susan Shelmerdine, Jeremy Palacio, Kent Ryan Kleinschmidt, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Jiaxi Lu, Rithvik Akula, Mario Scala, Julian F Niedermair, Nikolaus Stranger, Sebastian Tschauner, Georg M Schmölzer, Maria Jose Veloza Vega, Juan Sebastián Osorio Valencia, Oscar Jaramillo Robledo, Oscar Julian López Uribe, Saif Afat, Thomas Küstner, Soroosh Tayebi Arasteh, Daniel Truhn, Kelsey L Pomykala, Jens Kleesiek, Naela Himayati Afifah, Rozan M Irfan, Reza Shahriarirad, Amirhossein Erfani, Israel Amirav, Moria Be'er, Yasuhito Mitsuyama, Daiju Ueda, Alain S Abi-Ghanem, Safaa Al Zakleet, Mossad Abdelhak Shaban Mohamed, Wan Irfan Bin W Mustapha, Naila Nizami, Rafeah Khan, Khalid Al-Kharazi, Zafar Iqbal, Abdullah Al Shahrani, Amna Kashgari, Tijana Prodanovic, Nikola Prodanovic, Desmond Shi Wei Lim, James Thomas Patrick Decourcy Hallinan, Phumza Nongena, Melissa Louise Cooke, Montserrat Bret-Zurita, Almudena Alonso-Ojembarrena, Alexandra Nemes, Yung-Chieh Lin, Wei-Ting Lin, Wen-Hui Fang, Chin Lin, Atchara Mahayosnond, Sira Sriswasdi, Piyapong Khumrin, Suphakris Tanmuk, Didem Arman, Serdar Cömert, Serdar Alan, Umit Ayse Tandircioglu, David Andrew Mong, Esther Chung, Michael Sadler, Morgan P McBee, Richard H Jones, Pranav Rajpurkar","doi":"10.1038/s41551-026-01812-6","DOIUrl":"https://doi.org/10.1038/s41551-026-01812-6","url":null,"abstract":"<p><p>Despite growing clinical adoption of artificial intelligence in radiology, fewer than one in five commercially available models are cleared for paediatric use. Existing systems are trained predominantly on adult data and generalize poorly to neonates, yet efficient strategies for repurposing them without data sharing or large-scale local data curation are lacking. Here we present an international retrospective study of neonatal chest radiographs from 30 neonatal intensive care units across 20 countries and territories, evaluating continual learning as a privacy-preserving approach to adapt a deep learning model for adult endotracheal tube assessment to neonatal care. Each hospital contributed 50 radiographs for sequential model retraining without centralized data pooling. Continual learning achieved lower anatomical landmark localization error (0.67 cm versus 1.29 cm for hospital-specific fine-tuning and 4.30 cm for adult-only models) at 29 of 30 sites, with improved detection of deep intubations at 27 of 30 sites. These findings demonstrate that privacy-preserving collaborative learning can address critical gaps in paediatric AI deployment.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":26.3,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149183219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Author Correction: Biomimetic graphitic carbon nitride nanoparticles for multiscale photomodulation and therapeutic intervention.","authors":"Christoph Alexander Müller, Kjeld Kaj Klompmaker, Yuge Zhang, Jing Zhang, Anna Kalatanova, Pengju Li, Lingyuan Meng, Jesper Guldsmed Madsen, Thomas Stax Jakobsen, Asbjørn C Jørgensen, Anne Louise Askou, Yonglun Luo, Lin Lin, Sara Vogt Bleshøy, Georgios Bolis, Ge Huang, Wen Li, Rasmus Schmidt Davidsen, Toke Bek, Nikos S Hatzakis, Thomas J Corydon, Henri Leinonen, Bozhi Tian, Mingdong Dong, Menglin Chen","doi":"10.1038/s41551-026-01827-z","DOIUrl":"10.1038/s41551-026-01827-z","url":null,"abstract":"","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":26.3,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149172054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}