Pub Date : 2025-12-08DOI: 10.1038/s41551-025-01536-z
Guy H Wilson,Elias A Stein,Foram Kamdar,Donald T Avansino,Tsam Kiu Pun,Ronnie Gross,Tommy Hosman,Tyler Singer-Clark,Anastasia Kapitonava,Leigh R Hochberg,John D Simeral,Krishna V Shenoy,Shaul Druckmann,Jaimie M Henderson,Francis R Willett
Intracortical brain-computer interfaces (iBCIs) require frequent recalibration to maintain robust performance due to changes in neural activity that accumulate over time, which result in periods when users cannot use their device. Here we introduce a hidden Markov model to infer which targets users are moving towards during iBCI use and we retrain the system using these inferred targets, enabling unsupervised adaptation to changing neural activity. Our approach outperforms distribution alignment methods in large-scale, closed-loop simulations over two months, as well as in a closed loop with a human iBCI user over one month. Leveraging an offline dataset spanning five years of iBCI recordings, we show how target inference recalibration methods appear capable of long-term unsupervised recalibration, whereas recently proposed data-distribution-matching approaches appear to accumulate compounding errors over time. We show offline that our approach performs well on freeform datasets of a person using a home computer with an iBCI. Our results demonstrate the use of task structure to bootstrap a noisy decoder into a highly performant one, thereby overcoming one of the major barriers to clinically translating BCIs.
{"title":"Long-term unsupervised recalibration of cursor-based intracortical brain-computer interfaces using a hidden Markov model.","authors":"Guy H Wilson,Elias A Stein,Foram Kamdar,Donald T Avansino,Tsam Kiu Pun,Ronnie Gross,Tommy Hosman,Tyler Singer-Clark,Anastasia Kapitonava,Leigh R Hochberg,John D Simeral,Krishna V Shenoy,Shaul Druckmann,Jaimie M Henderson,Francis R Willett","doi":"10.1038/s41551-025-01536-z","DOIUrl":"https://doi.org/10.1038/s41551-025-01536-z","url":null,"abstract":"Intracortical brain-computer interfaces (iBCIs) require frequent recalibration to maintain robust performance due to changes in neural activity that accumulate over time, which result in periods when users cannot use their device. Here we introduce a hidden Markov model to infer which targets users are moving towards during iBCI use and we retrain the system using these inferred targets, enabling unsupervised adaptation to changing neural activity. Our approach outperforms distribution alignment methods in large-scale, closed-loop simulations over two months, as well as in a closed loop with a human iBCI user over one month. Leveraging an offline dataset spanning five years of iBCI recordings, we show how target inference recalibration methods appear capable of long-term unsupervised recalibration, whereas recently proposed data-distribution-matching approaches appear to accumulate compounding errors over time. We show offline that our approach performs well on freeform datasets of a person using a home computer with an iBCI. Our results demonstrate the use of task structure to bootstrap a noisy decoder into a highly performant one, thereby overcoming one of the major barriers to clinically translating BCIs.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"79 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145704661","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}
Pub Date : 2025-12-04DOI: 10.1038/s41551-025-01567-6
{"title":"A bioorthogonal ligation system induces controlled proximity for cancer therapy.","authors":"","doi":"10.1038/s41551-025-01567-6","DOIUrl":"https://doi.org/10.1038/s41551-025-01567-6","url":null,"abstract":"","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"10 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145674447","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}
Pub Date : 2025-11-28DOI: 10.1038/s41551-025-01552-z
C. Andrew Stewart, Shaji Daniel, Elizabeth J. Curvino, Yi Zhang, Hafsa Kamboh, Kirill Sergueev, Minhtran N. Casi, Adam Chowdhury, Heng Xu, Youqiang Li, Mehmet Tosun, Matthew T. Duvernay, Yufei Shan, Mame Djigal, Maria Kireeva, Jennifer L. Biaksangi, Taylor Glassband, Fevzi Altuntas, Tuğçe Nur Yiğenoğlu, Ralph Boccia, Jesus Bardeja, Tamna Wangjam, Michael S. Singer, Murat V. Kalayoglu, Metin Kurtoglu, Albina Benson, Emily P. English, Lisa H. Tostanoski, Milos D. Miljkovic, Christopher M. Jewell
{"title":"mRNA engineering of allogeneic mesenchymal stem cells enables coordinated delivery of T cell engagers and immunotherapeutic cues","authors":"C. Andrew Stewart, Shaji Daniel, Elizabeth J. Curvino, Yi Zhang, Hafsa Kamboh, Kirill Sergueev, Minhtran N. Casi, Adam Chowdhury, Heng Xu, Youqiang Li, Mehmet Tosun, Matthew T. Duvernay, Yufei Shan, Mame Djigal, Maria Kireeva, Jennifer L. Biaksangi, Taylor Glassband, Fevzi Altuntas, Tuğçe Nur Yiğenoğlu, Ralph Boccia, Jesus Bardeja, Tamna Wangjam, Michael S. Singer, Murat V. Kalayoglu, Metin Kurtoglu, Albina Benson, Emily P. English, Lisa H. Tostanoski, Milos D. Miljkovic, Christopher M. Jewell","doi":"10.1038/s41551-025-01552-z","DOIUrl":"https://doi.org/10.1038/s41551-025-01552-z","url":null,"abstract":"","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"18 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145611564","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}
Pub Date : 2025-11-24DOI: 10.1038/s41551-025-01592-5
Jan A. Rath, Lucas S. P. Rudden, Nazila Nouraee, Tiffany X. Y. Que, Christine Von Gunten, Cynthia Perez, Flora Birch, Yashashvi Bhugowon, Andreas Fueglistaler, Aisima Chatzi Souleiman, Patrick Barth, Caroline Arber
{"title":"Author Correction: Computational design of synthetic receptors with programmable signalling activity for enhanced cancer T cell therapy","authors":"Jan A. Rath, Lucas S. P. Rudden, Nazila Nouraee, Tiffany X. Y. Que, Christine Von Gunten, Cynthia Perez, Flora Birch, Yashashvi Bhugowon, Andreas Fueglistaler, Aisima Chatzi Souleiman, Patrick Barth, Caroline Arber","doi":"10.1038/s41551-025-01592-5","DOIUrl":"https://doi.org/10.1038/s41551-025-01592-5","url":null,"abstract":"","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"1 1","pages":""},"PeriodicalIF":28.1,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145583018","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}
Pub Date : 2025-11-17DOI: 10.1038/s41551-025-01572-9
A key aspect of biomedical advancement is improving over the state of the art. We provide guidance on our expectations for benchmarking at Nature Biomedical Engineering and encourage authors to think ahead about including crucial comparative experiments.
{"title":"Benchmarking matters","authors":"","doi":"10.1038/s41551-025-01572-9","DOIUrl":"10.1038/s41551-025-01572-9","url":null,"abstract":"A key aspect of biomedical advancement is improving over the state of the art. We provide guidance on our expectations for benchmarking at Nature Biomedical Engineering and encourage authors to think ahead about including crucial comparative experiments.","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"9 11","pages":"1789-1790"},"PeriodicalIF":26.8,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41551-025-01572-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145533774","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}
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