Nature MedicinePub Date : 2026-10-13DOI: 10.1038/s41591-026-04720-z
{"title":"Characterizing the onset and progression of cancer cachexia using routine clinical data.","authors":"","doi":"10.1038/s41591-026-04720-z","DOIUrl":"https://doi.org/10.1038/s41591-026-04720-z","url":null,"abstract":"","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":" ","pages":""},"PeriodicalIF":52.5,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149182955","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}
Nature MedicinePub Date : 2026-10-12DOI: 10.1038/s41591-026-04689-9
Venise Jan Castillon, Amy X Xie, Sonia Boscenco, Ethan Tse, Neil Ruthen, Jamie Wang, Ziad Bakouny, Michele Waters, Chenlian Fu, Christopher Fong, Mustafa Saleh, Tarek Baroud, Wungki Park, Urvi A Shah, A Ari Hakimi, Puneeth Iyengar, Justin Jee, Eileen White, Alexander Gusev, Tobias Janowitz, Marcus D Goncalves, Ed Reznik
{"title":"A health-system-scale, episode-resolved multimodal atlas of cancer cachexia.","authors":"Venise Jan Castillon, Amy X Xie, Sonia Boscenco, Ethan Tse, Neil Ruthen, Jamie Wang, Ziad Bakouny, Michele Waters, Chenlian Fu, Christopher Fong, Mustafa Saleh, Tarek Baroud, Wungki Park, Urvi A Shah, A Ari Hakimi, Puneeth Iyengar, Justin Jee, Eileen White, Alexander Gusev, Tobias Janowitz, Marcus D Goncalves, Ed Reznik","doi":"10.1038/s41591-026-04689-9","DOIUrl":"https://doi.org/10.1038/s41591-026-04689-9","url":null,"abstract":"<p><p>Cancer cachexia is a wasting syndrome with outsized impact on morbidity and mortality, yet its drivers and systemic consequences remain poorly defined. In this study, we repurposed longitudinal clinicogenomic data from 52,236 patients with cancer profiled by MSK-IMPACT (2010-2024) at Memorial Sloan Kettering Cancer Center to define episode-resolved trajectories of consensus-defined cachectic weight loss and linked these events to outcomes, serology and tumor genotypes. Cachectic episodes clustered near periods of disease progression and were associated with inferior outcomes in nearly all cancer types. Across diverse malignancies, cachectic weight loss episodes exhibited a consistent serologic signature characterized by lower albumin and hemoglobin and higher levels of liver enzymes. Numerous somatic tumor genotypes, including TP53 mutation across several diseases, were also associated with more frequent onset of cachectic episodes. Motivated by these observations, we developed a multivariate model to predict impending risk of cachectic weight loss in patients with lung, colorectal and prostate cancer, validated in an independent, external cohort from Dana-Farber Cancer Institute (n = 5,785). Routine clinicogenomic data are, therefore, a scalable resource for discovery in cancer cachexia.</p>","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":" ","pages":""},"PeriodicalIF":52.5,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149171358","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}
Nature MedicinePub Date : 2026-10-12DOI: 10.1038/s41591-026-04614-0
Glen Pridham, Yoav Hayut, Noa Lavi-Shoseyov, Michal Neeman, Noa Hovav, Yoel Toledano, Uri Alon
{"title":"Population-scale reconstruction of menopause dynamics reveals a physiological cliff at the final menstrual period","authors":"Glen Pridham, Yoav Hayut, Noa Lavi-Shoseyov, Michal Neeman, Noa Hovav, Yoel Toledano, Uri Alon","doi":"10.1038/s41591-026-04614-0","DOIUrl":"10.1038/s41591-026-04614-0","url":null,"abstract":"Menopause reshapes female physiology, yet current understanding is limited by small longitudinal cohorts that characterize it as a gradual transition. Large-scale biomedical datasets remain underutilized because the final menstrual period (FMP) age is rarely recorded. Here we present a computational framework, inspired by astronomy, that reconstructs FMP-anchored trajectories from cross-sectional data by removing the blurring caused by variation in FMP age across individuals. Applying this to two independent cohorts totaling 300 million laboratory tests revealed a step-like physiological cliff at the FMP including endocrine, skeletal, hepatic, renal and lipid systems. These discontinuities are absent in male individuals, are concordant across populations and appear markedly attenuated by menopausal hormone therapy. Dysregulation began more than a decade before FMP. These findings support a systemic, quantifiable view of menopause and provide a generalizable strategy for recovering hidden biological trajectories applicable to other transitions such as puberty or disease progression. By using a novel computational framework, a cross-sectional analysis on laboratory data from two independent cohorts reveals that the final menstrual period marks an abrupt, multisystem physiological shift, with sex hormone changes beginning more than 10 years before menopause onset.","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":"32 10","pages":"3823-3831"},"PeriodicalIF":52.5,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41591-026-04614-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149170031","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}
Nature MedicinePub Date : 2026-10-09DOI: 10.1038/s41591-026-04691-1
Thomas Sounack, Raffaele Giancotti, Catherine A Gao, Lasai Barreñada, Hyeonhoon Lee, Hyung-Chul Lee, Leo Anthony Celi, Karel G M Moons, Gary S Collins, Charlotta Lindvall, Tom Pollard
{"title":"AI-assisted scoping review of code sharing in clinical prediction model research.","authors":"Thomas Sounack, Raffaele Giancotti, Catherine A Gao, Lasai Barreñada, Hyeonhoon Lee, Hyung-Chul Lee, Leo Anthony Celi, Karel G M Moons, Gary S Collins, Charlotta Lindvall, Tom Pollard","doi":"10.1038/s41591-026-04691-1","DOIUrl":"https://doi.org/10.1038/s41591-026-04691-1","url":null,"abstract":"<p><p>Clinical prediction models are increasingly deployed to support diagnostic and prognostic decisions, making reproducibility essential for assessing their reliability and generalizability. Analytical code supports independent assessment of these processes, yet its availability in the literature remains limited. This scoping review quantifies current practices in sharing analytical code to inform the development of TRIPOD-Code, a reporting guideline for code availability and reproducibility. Here a large-language-model-assisted pipeline was developed to screen articles citing TRIPOD or TRIPOD+AI, extract repository links and assess retrieved repositories against 14 predefined reproducibility-related features. Among 3,967 articles, 482 (12.2%) included code-sharing statements. Sharing prevalence varied widely by journal and country. Repository assessment showed substantial heterogeneity in reproducibility features. These findings underscore the need for clearer expectations beyond code availability, including documentation, dependency specification and executable structure. Strengthening these practices may improve the usability of clinical prediction model studies and support their deployment in real-world clinical settings.</p>","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":" ","pages":""},"PeriodicalIF":52.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149149229","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}
Nature MedicinePub Date : 2026-10-09DOI: 10.1038/s41591-026-04736-5
Hayley Davis, Shazia Irshad, Mukesh Bansal, Hannah Rafferty, Tatjana Boitsova, Chiara Bardella, Emma Jaeger, Annabelle Lewis, Luke Freeman-Mills, Francesc C Giner, Pedro Rodenas-Cuadrado, Sreelakshmi Mallappa, Susan Clark, Huw Thomas, Rosemary Jeffery, Richard Poulsom, Manuel Rodriguez-Justo, Marco Novelli, Runjan Chetty, Andrew Silver, Owen J Sansom, Florian R Greten, Lai Mun Wang, James E East, Ian Tomlinson, Simon J Leedham
{"title":"Addendum: Aberrant epithelial GREM1 expression initiates colonic tumorigenesis from cells outside the stem cell niche.","authors":"Hayley Davis, Shazia Irshad, Mukesh Bansal, Hannah Rafferty, Tatjana Boitsova, Chiara Bardella, Emma Jaeger, Annabelle Lewis, Luke Freeman-Mills, Francesc C Giner, Pedro Rodenas-Cuadrado, Sreelakshmi Mallappa, Susan Clark, Huw Thomas, Rosemary Jeffery, Richard Poulsom, Manuel Rodriguez-Justo, Marco Novelli, Runjan Chetty, Andrew Silver, Owen J Sansom, Florian R Greten, Lai Mun Wang, James E East, Ian Tomlinson, Simon J Leedham","doi":"10.1038/s41591-026-04736-5","DOIUrl":"https://doi.org/10.1038/s41591-026-04736-5","url":null,"abstract":"","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":" ","pages":""},"PeriodicalIF":52.5,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149149107","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}
Nature MedicinePub Date : 2026-10-08DOI: 10.1038/s41591-026-04709-8
Jyoti Das, Paul Eynott, Ray Jupp, Alfred Bothwell, Luc Van Kaer, Yufang Shi, Gobardhan Das
{"title":"Author Correction: Natural killer T cells and CD8<sup>+</sup> T cells are dispensable for T cell-dependent allergic airway inflammation.","authors":"Jyoti Das, Paul Eynott, Ray Jupp, Alfred Bothwell, Luc Van Kaer, Yufang Shi, Gobardhan Das","doi":"10.1038/s41591-026-04709-8","DOIUrl":"https://doi.org/10.1038/s41591-026-04709-8","url":null,"abstract":"","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":" ","pages":""},"PeriodicalIF":52.5,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149137648","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}
Nature MedicinePub Date : 2026-10-06DOI: 10.1038/s41591-026-04706-x
Rui Yang,Weihao Xuan,Tianyu Liu,Danielle S. Bitterman,Gary S. Collins,Karthik Adapa,Kwesi Nyan Amissah-Arthur,Tianxi Cai,Simão Campos,Hanqun Cao,Josip Car,Carol Y. Cheung,Mona Diab,Chido Dzinotyiwei,Siqi Ge,Marzyeh Ghassemi,Ethan Goh,Benjamin Alan Goldstein,Mary-Anne Hartley,Yulan He,Pheng Ann Heng,Chuan Hong,Michelle María Jiménez de Tavárez,Yuhe Ke,Pearse A. Keane,Eva C. Keller,Rubayat Khan,Phuoc V. Le,Marc Lecoultre,Jisan Lee,Huitao Li,Yuan Luo,Vukosi Marivate,Bilal A. Mateen,Melissa D. McCradden,Maryam Mustafa,Joyce Nakatumba-Nabende,Yilin Ning,Jasmine Chiat Ling Ong,Yifan Peng,Sameer Pujari,Ihsan Ayyub Qazi,Dino Rech,Iain Beehuat Tan,Patrick Tan,Douglas Teodoro,Yih Chung Tham,Arun James Thirunavukarasu,Daniel Shu Wei Ting,Lorainne Tudor Car,Joao Ricardo Nickenig Vissoci,Chunhua Weng,Matthew Yu Heng Wong,Yunze Xiao,Xuhai Xu,Carl Yang,Naoto Yokoya,Kunyu Yu,Chaofan Zhang,Rui Zhang,James Zou,Karel G. M. Moons,Nigam H. Shah,Tien Yin Wong,Eric J. Topol,Nan Liu
{"title":"MAGIC: an international network for evaluating generative artificial intelligence in global health","authors":"Rui Yang,Weihao Xuan,Tianyu Liu,Danielle S. Bitterman,Gary S. Collins,Karthik Adapa,Kwesi Nyan Amissah-Arthur,Tianxi Cai,Simão Campos,Hanqun Cao,Josip Car,Carol Y. Cheung,Mona Diab,Chido Dzinotyiwei,Siqi Ge,Marzyeh Ghassemi,Ethan Goh,Benjamin Alan Goldstein,Mary-Anne Hartley,Yulan He,Pheng Ann Heng,Chuan Hong,Michelle María Jiménez de Tavárez,Yuhe Ke,Pearse A. Keane,Eva C. Keller,Rubayat Khan,Phuoc V. Le,Marc Lecoultre,Jisan Lee,Huitao Li,Yuan Luo,Vukosi Marivate,Bilal A. Mateen,Melissa D. McCradden,Maryam Mustafa,Joyce Nakatumba-Nabende,Yilin Ning,Jasmine Chiat Ling Ong,Yifan Peng,Sameer Pujari,Ihsan Ayyub Qazi,Dino Rech,Iain Beehuat Tan,Patrick Tan,Douglas Teodoro,Yih Chung Tham,Arun James Thirunavukarasu,Daniel Shu Wei Ting,Lorainne Tudor Car,Joao Ricardo Nickenig Vissoci,Chunhua Weng,Matthew Yu Heng Wong,Yunze Xiao,Xuhai Xu,Carl Yang,Naoto Yokoya,Kunyu Yu,Chaofan Zhang,Rui Zhang,James Zou,Karel G. M. Moons,Nigam H. Shah,Tien Yin Wong,Eric J. Topol,Nan Liu","doi":"10.1038/s41591-026-04706-x","DOIUrl":"https://doi.org/10.1038/s41591-026-04706-x","url":null,"abstract":"","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":"8 1","pages":""},"PeriodicalIF":82.9,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149091920","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}
Nature MedicinePub Date : 2026-10-06DOI: 10.1038/s41591-026-04704-z
Jia Xu, Lin Liu, Wei Xie, Liman Su, Weijiayi Wang, Chenggong Li, Qiaolin Liu, Yun Kang, Yinqiang Zhang, Wenjing Luo, Zhongpei Huang, Chun Zhang, Chunyan Sun, Yu Hu, Heng Mei
{"title":"Extended follow-up of in vivo BCMA CAR-T therapy in relapsed/refractory multiple myeloma","authors":"Jia Xu, Lin Liu, Wei Xie, Liman Su, Weijiayi Wang, Chenggong Li, Qiaolin Liu, Yun Kang, Yinqiang Zhang, Wenjing Luo, Zhongpei Huang, Chun Zhang, Chunyan Sun, Yu Hu, Heng Mei","doi":"10.1038/s41591-026-04704-z","DOIUrl":"https://doi.org/10.1038/s41591-026-04704-z","url":null,"abstract":"Data on long-term outcomes of in vivo chimeric antigen receptor T cell (CAR‑T) therapy remain scarce. We previously reported preliminary safety and efficacy data of in vivo B-cell maturation antigen (BCMA) CAR‑T (ESO-T01), in four patients with relapsed/refractory multiple myeloma, without leukapheresis and lymphodepletion, with up to 3 months of follow-up. The primary endpoints included safety and tolerability, while the secondary endpoints comprised efficacy, pharmacokinetics and pharmacodynamics. All patients developed dual-phase cytokine release syndrome (grades 1–3) and hematotoxicities (grade ≥3). One patient developed grade 1 immune effector cell-associated neurotoxicity syndrome. The objective response rate reached 100% (two stringent complete response and two partial response). Here we update the data on long‑term safety and response durability with a maximal follow‑up of 15 months. No immunogenicity‑ or integration‑related toxicities occurred, and no important adverse events related to ESO-T01 emerged beyond the initial report. Of the four patients, one maintained stringent complete response for 15 months. The median progression-free survival was 4.0 (range 3.0–15.0) months. After progression, diverse salvage therapies extended overall survival to 5.5–10.9 months after infusion. Three patients experienced relapse or progression, all with extramedullary involvement, and eventually died during follow-up. One patient achieved durable response with robust expansion from ex vivo CAR-T. Collectively, these updated results provide additional insights on the safety and efficacy of in vivo CAR-T therapies. The limited persistence observed necessitates the further optimization of the in vivo CAR-T platform. ClinicalTrials.gov identifier: NCT06691685.","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":"25 1","pages":""},"PeriodicalIF":82.9,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087649","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}
Nature MedicinePub Date : 2026-10-06DOI: 10.1038/s41591-026-04626-w
Andrew Sellergren, Sahar Kazemzadeh, Fereshteh Mahvar, Atilla Kiraly, Madeleine Traverse, Timo Kohlberger, Chufan Gao, Ronnachai Jaroensri, Shawn Xu, Fayaz Jamil, Cían Hughes, Charles Lau, Justin Chen, Liron Yatziv, Tiffany Chen, Bram Sterling, Stefanie Anna Baby, Susanna Maria Baby, Jeremy Lai, Samuel Schmidgall, Lu Yang, Kejia Chen, Per Bjornsson, Shashir Reddy, Ryan Brush, Kenneth Philbrick, Bashir Sadjad, Mercy Asiedu, Ines Mezerreg, Howard Hu, Howard Yang, Richa Tiwari, Sunny Jansen, Preeti Singh, Yubin Kim, Daniel McDuff, Catherine Kozlowski, Rachelle Sico, Aishwarya Kamath, Johan Ferret, Shreya Pathak, Nino Vieillard, Ramona Merhej, Sarah Perrin, Tatiana Matejovicova, Alexandre Ramé, Morgane Riviere, Louis Rouillard, Thomas Mesnard, Geoffrey Cideron, Jean-bastien Grill, Sabela Ramos, Edouard Yvinec, Michelle Casbon, Elena Buchatskaya, Jean-Baptiste Alayrac, Dmitry Lepikhin, Vlad Feinberg, Sebastian Borgeaud, Alek Andreev, Cassidy Hardin, Robert Dadashi, Léonard Hussenot, Armand Joulin, Olivier Bachem, Clement Farabet, Joelle Barral, Tris Warkentin, Jonathon Shlens, David Fleet, Shekoofeh Azizi, Victor Cotruta, Omar Sanseviero, Gus Martins, Phoebe Kirk, Anand Rao, Yossi Matias, Katherine Chou, Avinatan Hassidim, Dale Webster, Shravya Shetty, Kavi Goel, Yun Liu, Can Kirmizibayrak, David F. Steiner, Rory Pilgrim, Daniel Golden, Lin Yang
{"title":"An open vision-language model for diverse medical applications","authors":"Andrew Sellergren, Sahar Kazemzadeh, Fereshteh Mahvar, Atilla Kiraly, Madeleine Traverse, Timo Kohlberger, Chufan Gao, Ronnachai Jaroensri, Shawn Xu, Fayaz Jamil, Cían Hughes, Charles Lau, Justin Chen, Liron Yatziv, Tiffany Chen, Bram Sterling, Stefanie Anna Baby, Susanna Maria Baby, Jeremy Lai, Samuel Schmidgall, Lu Yang, Kejia Chen, Per Bjornsson, Shashir Reddy, Ryan Brush, Kenneth Philbrick, Bashir Sadjad, Mercy Asiedu, Ines Mezerreg, Howard Hu, Howard Yang, Richa Tiwari, Sunny Jansen, Preeti Singh, Yubin Kim, Daniel McDuff, Catherine Kozlowski, Rachelle Sico, Aishwarya Kamath, Johan Ferret, Shreya Pathak, Nino Vieillard, Ramona Merhej, Sarah Perrin, Tatiana Matejovicova, Alexandre Ramé, Morgane Riviere, Louis Rouillard, Thomas Mesnard, Geoffrey Cideron, Jean-bastien Grill, Sabela Ramos, Edouard Yvinec, Michelle Casbon, Elena Buchatskaya, Jean-Baptiste Alayrac, Dmitry Lepikhin, Vlad Feinberg, Sebastian Borgeaud, Alek Andreev, Cassidy Hardin, Robert Dadashi, Léonard Hussenot, Armand Joulin, Olivier Bachem, Clement Farabet, Joelle Barral, Tris Warkentin, Jonathon Shlens, David Fleet, Shekoofeh Azizi, Victor Cotruta, Omar Sanseviero, Gus Martins, Phoebe Kirk, Anand Rao, Yossi Matias, Katherine Chou, Avinatan Hassidim, Dale Webster, Shravya Shetty, Kavi Goel, Yun Liu, Can Kirmizibayrak, David F. Steiner, Rory Pilgrim, Daniel Golden, Lin Yang","doi":"10.1038/s41591-026-04626-w","DOIUrl":"10.1038/s41591-026-04626-w","url":null,"abstract":"Artificial intelligence has high potential for impact in healthcare applications, but its training and deployment are challenging due to diverse data, a complex spectrum of possible tasks and important privacy needs. High-performing foundation models that enable data-efficient fine-tuning for diverse downstream tasks can meaningfully accelerate development in this domain. We introduce MedGemma, a collection of medical vision-language foundation models based on Gemma 3. MedGemma demonstrates advanced medical understanding and reasoning across images and text and multiple medical imaging domains, exceeding the performance of similarly sized generative models while maintaining the general capabilities of the Gemma base models. For out-of-distribution tasks, MedGemma achieves improvements of 2.6–10% in medical image question answering, 15.5–18.1% in chest X-ray finding classification and 10.8% in agentic evaluations compared with the base models. Our results show that fine-tuning MedGemma can be more effective than fine-tuning the base Gemma 3 model for medical tasks, particularly in the setting of limited training data. We additionally introduce MedSigLIP, a medically tuned vision encoder derived from SigLIP. MedSigLIP powers the visual understanding capabilities of MedGemma and, as an encoder, achieves performance comparable to or better than that of many specialized medical image encoders. Taken together, the MedGemma collection provides a strong foundation of medical image and text capabilities, with the potential to accelerate medical research and the development of downstream applications. MedGemma, a collection of medical vision-language foundation models based on Gemma 3, demonstrates advanced medical understanding and reasoning across images and text and multiple medical imaging domains, exceeding the performance of similarly sized generative models while maintaining the general capabilities of the Gemma base models.","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":"32 10","pages":"3695-3704"},"PeriodicalIF":52.5,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41591-026-04626-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087648","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}
Nature MedicinePub Date : 2026-10-05DOI: 10.1038/s41591-026-04696-w
Matt Fillingim, Christophe Tanguay-Sabourin, Lindsay Neuert, Azin Zare, Jax Norman, Gianluca V. Guglietti, Lise Hobeika, Abimbola Ayorinde, Ahmad Salimzadeh, Ahmad-reza Jamshidi, Aqeel M. Alenazi, Arash Tehrani-Banihashemi, Bader A. Alqahtani, Beatriz Olaya, Benjamin Longo Mbenza, Bibilola Oladeji, Brenda Penninx, Buddhi Paudyal, Caique de Melo, Chantal Berna, Clarissa Humberg, Pascal Claudepierre, Elisa Smith, Elizabeth VanDenKerkhof, Erik J. Giltay, Esther Garcia-Esquinas, Faisal Parlindungan, Fatima Qayyum Abbasi, Fernando Rodríguez Artalejo, Gareth T. Jones, Gary Slade, Hanifa Bouziri, Herta Flor, Hiroyasu Iso, Ian Gilron, Imad Uthman, Ingris Peláez-Ballestas, Jean-Paul Divengi Nzambi, Jose Luis Ayuso-Mateos, Josep Maria Haro, Julia Wager, Juliana Barcellos de Souza, Kazutoshi Nakamura, Keiko Yamada, Lisa-Marie Rau, Makram Talih, Marcus J. Beasley, María Dueñas, Marie Zins, Marta Miret, Melissa Wake, Mirza Zaka Pratama
{"title":"Global and regional reference curves for pain across the lifespan in 6.1 million individuals in 118 countries","authors":"Matt Fillingim, Christophe Tanguay-Sabourin, Lindsay Neuert, Azin Zare, Jax Norman, Gianluca V. Guglietti, Lise Hobeika, Abimbola Ayorinde, Ahmad Salimzadeh, Ahmad-reza Jamshidi, Aqeel M. Alenazi, Arash Tehrani-Banihashemi, Bader A. Alqahtani, Beatriz Olaya, Benjamin Longo Mbenza, Bibilola Oladeji, Brenda Penninx, Buddhi Paudyal, Caique de Melo, Chantal Berna, Clarissa Humberg, Pascal Claudepierre, Elisa Smith, Elizabeth VanDenKerkhof, Erik J. Giltay, Esther Garcia-Esquinas, Faisal Parlindungan, Fatima Qayyum Abbasi, Fernando Rodríguez Artalejo, Gareth T. Jones, Gary Slade, Hanifa Bouziri, Herta Flor, Hiroyasu Iso, Ian Gilron, Imad Uthman, Ingris Peláez-Ballestas, Jean-Paul Divengi Nzambi, Jose Luis Ayuso-Mateos, Josep Maria Haro, Julia Wager, Juliana Barcellos de Souza, Kazutoshi Nakamura, Keiko Yamada, Lisa-Marie Rau, Makram Talih, Marcus J. Beasley, María Dueñas, Marie Zins, Marta Miret, Melissa Wake, Mirza Zaka Pratama","doi":"10.1038/s41591-026-04696-w","DOIUrl":"https://doi.org/10.1038/s41591-026-04696-w","url":null,"abstract":"Pain is the leading cause of disability worldwide, yet no harmonized self-reported reference framework exists to characterize how its burden is distributed across the lifespan and world regions. In this study, we harmonized individual-level self-reported pain data from 6,125,459 participants across 902 population-based data sources in 118 countries to establish global reference trajectories of pain. We implemented these trajectories in an open-access benchmarking platform for positioning external datasets against global pain norms. Pain prevalence ranged from roughly 2% for facial pain to 40% for back pain, was consistently higher in women across all 11 anatomical sites (risk ratio range: 1.08−1.83) and increased most steeply before age 55 years. Contrary to existing estimates that generally project higher prevalence of pain conditions in higher Human Development Index (HDI) regions, we found that individuals in the lowest HDI countries experienced a substantially higher late-life prevalence of any bodily pain than those in the highest (risk difference: 30.6 percentage points (95% confidence interval: 26.9−34.3)), with low back pain approaching twice the prevalence at the oldest ages. Globally, 18.3% of pain burden across anatomical sites was attributable to three modifiable risk factors (smoking, obesity and low income), but this varied from 12.6% in sub-Saharan Africa to 27.1% in eastern Europe, indicating that the factors underlying pain in lower-HDI settings remain poorly characterized. Together, these reference trajectories provide a common framework for defining and comparing pain burden and informing more equitable global surveillance and prevention.","PeriodicalId":19037,"journal":{"name":"Nature Medicine","volume":"36 1","pages":""},"PeriodicalIF":82.9,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087651","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}