Communications medicine最新文献

{"title":"The global preclinical research and development landscape for pre-eclampsia and eclampsia therapies.","authors":"Jessica Postregna, Kate Mills, Fiona Bruinsma, Maya Goldstein, Andrew Tuttle, Lindsay Keir, Cecile Ventola, A Metin Gülmezoglu, Anne Ammerdorffer, Joshua P Vogel, Annie R A McDougall","doi":"10.1038/s43856-026-01784-3","DOIUrl":"https://doi.org/10.1038/s43856-026-01784-3","url":null,"abstract":"<p><strong>Background: </strong>Surprisingly few medicines are available to prevent or manage pre-eclampsia, all of which are repurposed from non-pregnant populations and conditions. Analyses of clinical research and development pipelines for pre-eclampsia medicines have identified high-potential candidates; however, the preclinical pipeline has not been interrogated. To address this gap, we developed an approach to analyse and rank preclinical candidates and applied it to the preclinical pipeline for pre‑eclampsia and eclampsia.</p><p><strong>Methods: </strong>We analysed and ranked the potential of 83 preclinical candidates for pre-eclampsia and eclampsia identified in the Maternal Health Pipeline spanning 2000 to 2025. Candidates were assessed across three domains - quality of preclinical evidence, product development stage and implementability. Each question in the prioritisation matrix was assigned a numerical value based on importance. The sum of these values was used to rank the potential of each candidate for future research.</p><p><strong>Results: </strong>There is a total of 106 candidates in the preclinical pipeline. Twenty-three candidates are excluded from our analysis. Among the 83 candidates analysed, 11 high-potential candidates are identified, and the remaining candidates are ranked as medium (63 candidates) and low potential (nine candidates). Of the candidates analysed, 49.4% are new chemical or biological entities, 37 different binding targets are identified and the proposed mechanism of action for 32 candidates is a reduction in angiogenic factor sFlt-1.</p><p><strong>Conclusions: </strong>High potential candidates should be prioritised for further development, but progress is restricted by current mechanisms of action and animal models. Increased investment is essential to advance pre-eclampsia therapies into clinical trials.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":" ","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148450924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A large cohort analysis of metabolic signatures underlying the liver-eye axis.","authors":"Mingxing Wu, Xueqin Li, Mingzhi Liu, Jun Zhang, Jingxin Zhou, Kai Jin, Zuyun Liu, Yumei Mao, Yuan Gao, Li Zhang","doi":"10.1038/s43856-026-01623-5","DOIUrl":"10.1038/s43856-026-01623-5","url":null,"abstract":"<p><strong>Background: </strong>The role of the liver, a vital metabolic organ, in ocular health and the corresponding mechanisms remains unclear. This study aimed to examine the association between liver function and retinal thickness, and whether metabolic signatures (MS) of liver function mediate these associations.</p><p><strong>Methods: </strong>We used data from 31019 participants in UK Biobank. Liver function was measured using seven serum-based circulating biomarkers: alanine transaminase, aspartate transaminase, gamma-glutamyltransferase, alkaline phosphatase, total bilirubin, total protein, and albumin levels. Retinal thickness was measured using optical coherence tomography, including the retinal nerve fiber layer, ganglion cell-inner plexiform layer, inner nuclear layer, inner nuclear layer-external limiting membrane, external limiting membrane-inner and outer photoreceptor segments, inner and outer photoreceptor segments-retinal pigment epithelium (ISOSRPE), and retinal pigment epithelium (RPE). The circulating metabolome was quantified using nuclear magnetic resonance spectroscopy. A linear regression model and formal mediation analyses were performed.</p><p><strong>Results: </strong>We find that abnormal liver function is significantly associated with increased RPE thickness (β [SE]: 0.094(0.034); P = 0.021) and decreased ISOSRPE thickness (β [SE]: -0.172 (0.048); P < 0.001), after adjusting for demographic, lifestyle factors, best-corrected visual acuity, and intraocular pressures. Among the 249 metabolites, 23 are selected using lasso regression to construct MS for liver function. The mediation proportion of MS in association between liver function and ISOSRPE thickness is 28.6% (P = 0.004). Among the 23 metabolites, six play a significant mediating role in the association between liver function and ISOSRPE thickness, with mediation proportions ranging from 3.20% to 16.4%.</p><p><strong>Conclusion: </strong>This study demonstrates significant associations of liver function with retinal thickness and reveals potential underlying metabolomic mechanisms, providing insights into the liver-eye axis.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":" ","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392093/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148450831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radioactive ion beam range adaptation in mouse tumors using in-beam PET.","authors":"Martina Moglioni, Tamara Vitacchio, Francesco Evangelista, Munetaka Nitta, Daria Boscolo, Giulio Lovatti, Olga Sokol, Emma Haettner, Sivaji Purushothaman, Walter Tinganelli, Christian Graeff, Uli Weber, Christoph Schuy, Andreas Bückner, Gabriele Corbetta, Leonard Doyle, Lennart Volz, Maria Chiara Martire, Tim Wagner, Alexander Helm, Collin Werkheiser, Daria Kostyleva, Rinku Prajapat, Suraj Kumar Singh, Elena Rocco, Jonathan Bortfeldt, Peter G Thirolf, Christoph Scheidenberger, Katia Parodi, Marco Durante","doi":"10.1038/s43856-026-01786-1","DOIUrl":"10.1038/s43856-026-01786-1","url":null,"abstract":"<p><strong>Background: </strong>Treatment adaptation is particularly critical in particle therapy, where even small range deviations can compromise target coverage or lead to unintended dose delivered to surrounding healthy tissues. In-beam positron emission tomography (PET) has emerged as a promising approach for range verification during irradiation with protons or stable carbon ion beams. However, its clinical use is limited by low signal-to-noise ratio and by the spatial mismatch between activity and dose distributions, reducing verification accuracy and limiting timely intervention.</p><p><strong>Methods: </strong>We used radioactive ion beams for real-time range adaptation in 10 weeks old C3H/ HeNRj female mice bearing LM8-osteosarcoma tumors. Three ¹¹C beam range settings were planned: short (S), right (R), and long (L). The range of a collimated monoenergetic probing beam was monitored in real-time with the SIRMIO in-beam PET scanner by tracking the activity peak along the beam path, while range adaptation was achieved with a remotely controlled range shifter. Each plan (S, R and L) was also delivered, and tumor growth, toxicity assays, and histological analyses were performed to evaluate each treatment outcomes.</p><p><strong>Results: </strong>Dynamic repositioning of the ¹¹C beam produced spatially resolved PET signals that correlated with distinct biological outcomes. Toxicity was observed only in the L group, while adequate tumor coverage was achieved in both R and L groups. In contrast, the S group showed continued tumor growth.</p><p><strong>Conclusions: </strong>We provide the first demonstration that in-beam imaging of radioactive ion beams can enable real-time range-guided radiotherapy in a living organism. These findings establish radioactive ion beams as a promising platform for precision range-guided particle therapy.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"6 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13369987/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148450655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repurposing molecular imaging to map drug targets in vivo.","authors":"Xiaoying Xu, Vincent Taelman, Pablo Jané, Eduardo Jané, Rebecca A Dumont, Yonathan Garama, Francisco Kim, María Del Val Gómez, Karim Gariani, Martin A Walter","doi":"10.1038/s43856-026-01749-6","DOIUrl":"https://doi.org/10.1038/s43856-026-01749-6","url":null,"abstract":"<p><strong>Background: </strong>Understanding where drug targets are expressed in the human body is essential for precision medicine, yet this information is difficult to obtain in living patients. Molecular imaging offers a non-invasive way to visualize target expression, but its application remains fragmented. We aim to develop a systematic framework to link approved drugs, their molecular targets, and existing imaging agents, with a focus on repurposing imaging strategies for clinical use.</p><p><strong>Methods: </strong>We integrate drug, target, and disease data from public databases and combine these with imaging probe annotations and transcriptomic data from more than 240,000 patient samples across multiple diseases. Co-expression analysis is used to identify candidate surrogate imaging targets for proteins that lack direct imaging agents. Statistical associations are assessed using correlation analysis with multiple testing correction.</p><p><strong>Results: </strong>Here we show that existing imaging agents can be linked to 704 therapeutic targets across 1345 diseases. Nearly half of these targets are directly imageable, while the remainder can be connected to surrogate imaging targets through co-expression. In total, more than 4000 imaging agents are identified, enabling the systematic prioritization of candidate imaging strategies across diseases.</p><p><strong>Conclusions: </strong>This study provides a framework for repurposing molecular imaging agents to visualize drug targets in vivo. The approach expands the potential of imaging to guide patient selection and treatment monitoring, and highlights opportunities to translate existing but underused imaging agents into clinically actionable biomarkers.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":" ","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148438923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pan-disease blood protein profiles of rheumatic autoimmune diseases.","authors":"Josefin Kenrick, Charlotta Preger, María Bueno Álvez, Maria Alejandra Ulloa, Göran Bergström, Antonella Notarnicola, Begum Horuluoglu, Angeles S Galindo-Feria, Anna Smed-Sörensen, Anna Färnert, Anna Norrby-Teglund, Iva Gunnarsson, Marie Wahren-Herlenius, Marie Holmqvist, Leonid Padyukov, Karine Chemin, Lina Marcela Diaz-Gallo, Ingrid E Lundberg, Elisabet Svenungsson, Vivianne Malmström, Lars Klareskog, Sofia Bergström, Mathias Uhlén, Peter Nilsson, Fredrik Edfors, Elisa Pin","doi":"10.1038/s43856-026-01779-0","DOIUrl":"10.1038/s43856-026-01779-0","url":null,"abstract":"<p><strong>Background: </strong>Systemic autoimmune rheumatic diseases (SARDs) are a heterogeneous group of autoimmune conditions characterized by immune system dysregulation leading to chronic inflammation and tissue damage. The overlapping clinical manifestations make differential diagnosis challenging, highlighting the need for novel biomarkers to facilitate early diagnosis, stratification, and personalized treatment.</p><p><strong>Methods: </strong>Five SARDs including idiopathic inflammatory myopathies (n = 210), rheumatoid arthritis (n = 84), systemic sclerosis (n = 100), Sjögren disease (n = 99), and systemic lupus erythematosus (n = 99), as well as healthy controls (n = 400) and controls with acute infectious diseases (n = 218) were selected for plasma protein profiling using Olink Explore 1536. Differential abundance analysis and machine learning were used to identify proteins with both known and novel association to SARDs.</p><p><strong>Results: </strong>The five SARDs share hundreds of proteins with consistently altered abundance compared to both healthy and infectious controls, reflecting common underlying molecular dysregulation. Despite the overlap, we identify multiple proteins with higher abundance specific to individual SARDs. Machine learning further enables accurate classification of the five SARDs, identifying a panel of 48 proteins with high discriminatory performance, several of which are also supported by differential abundance analysis.</p><p><strong>Conclusions: </strong>Altogether, this explorative cross-sectional study demonstrates the importance of a pan-disease approach, including also infectious and healthy controls, to identify robust and disease-informative protein panels for improved classification of SARDs. Protein levels from this study are available open access through the Human Protein Atlas, facilitating further plasma proteome research on autoimmune disease.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"6 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13365237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148438949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimorbidity in adolescents in sub-Saharan Africa: a systematic review.","authors":"F P Nzvere, D Iduye, E Okello, S Bernays, D A Ross, R A Ferrand, V Simms, A M Doyle","doi":"10.1038/s43856-026-01751-y","DOIUrl":"https://doi.org/10.1038/s43856-026-01751-y","url":null,"abstract":"<p><strong>Background: </strong>Individuals living with two or more long-term health conditions, known as multimorbidity, experience poorer physical and mental well-being due to the incremental effect of co-existing conditions. Research on multimorbidity mainly focuses on adults and rarely on adolescents (10-19 years), especially in Africa. We aimed to describe the prevalence of adolescent multimorbidity in Sub-Saharan Africa.</p><p><strong>Methods: </strong>We conducted a PROSPERO-registered systematic review (CRD42024513430), searching five databases (Medline, EMBASE, Global Health, SCOPUS, PsycINFO, PsycEXTRA, and Africa Index Medicus) for observational studies published in 2000-2024. Studies were eligible if they assessed the prevalence of two or more chronic co-existing conditions (multimorbidity) in adolescents from the general population in Sub-Saharan Africa. Two reviewers independently screened studies, extracted data, and assessed risk of bias.</p><p><strong>Results: </strong>Here we show that 12 studies meet the inclusion criteria, out of 2824 potential studies. Most studies have a low to moderate risk of bias and were conducted within the last decade in community and/or school settings. The studies only measure multimorbidity from a limited set of conditions: allergic, malnutrition, cardiometabolic diseases, e.g. hypertension and diabetes only and cardiometabolic diseases plus HIV/tuberculosis. No study includes common mental disorders. Most individual conditions are objectively measured and have low prevalences ( < 10%). Multimorbidity prevalence ranges from 0.0 to 13.8% and varies by the conditions measured.</p><p><strong>Conclusion: </strong>This systematic review identified only 12 eligible studies, with substantial methodological heterogeneity limiting the comparability and generalizability of multimorbidity estimates. Further adolescent-specific research focusing on enhancing the measurement of multimorbidity of conditions commonly affecting adolescents is required to allow accurate estimates and to inform healthcare provision.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":" ","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148439278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing the composition and diversity of the vaginal microbiome in ovarian cancer.","authors":"April Deveaux, Oyomoare L Osazuwa-Peters, Yeon Ji Kim, Pixu Shi, Drew Neish, Ashwini Joshi, Veronica Duck, Ashliegh Williams, Margaret Gates Kuliszewski, Bin Huang, Kevin Ward, Maria Pisu, Thomas Tucker, Rebecca Previs, Andrew Berchuck, Tomi Akinyemiju","doi":"10.1038/s43856-026-01771-8","DOIUrl":"10.1038/s43856-026-01771-8","url":null,"abstract":"<p><strong>Background: </strong>Vaginal dysbiosis, characterized by Lactobacillus depletion and anaerobic enrichment, may be relevant to ovarian cancer (OC) outcomes, yet comprehensive microbiome characterization in OC patients remains limited. Here, we characterize the prevalence and predictors of vaginal microbiome dysbiosis among racially diverse OC patients in the US.</p><p><strong>Methods: </strong>We performed 16S rRNA gene sequencing on vaginal samples from 132 OC patients recruited as part of the population-based ORCHiD study. Latent Dirichlet Allocation (LDA), a computational topic modeling approach, was applied to identify distinct microbial community signatures representing co-occurring bacterial taxa.</p><p><strong>Results: </strong>Here, we show that Lactobacillus is detected in only 47.7% of patients. Topic modeling identifies seven distinct microbial signatures spanning Lactobacillus-dominated and anaerobe-enriched community types. Anaerobic bacterial enrichment (Peptoniphilus, Anaerococcus) increases significantly with age (approximately 35% per decade of life, FDR q = 0.019). Racial differences are observed, with non-Hispanic Black patients demonstrating a 5-fold higher prevalence of an Actinomycetaceae-classified amplicon sequence variant (ASV54) compared with non-Hispanic white patients (40.9% vs 8.2%, FDR q = 0.005), while Lactobacillus crispatus is detected only among non-Hispanic white patients (6.4% vs 0%) in this cohort.</p><p><strong>Conclusions: </strong>These findings demonstrate a high burden of vaginal microbiome dysbiosis among OC patients and identify age- and race-associated microbial patterns that may be relevant to understanding disparities in OC outcomes.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":" ","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148426849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of HIV status and vaccination on long COVID conditions within an integrated health care system.","authors":"Michael A Horberg, Celeena Jefferson, Eric Watson, Seohyun Kim, Adrienne N Deneal, Kelly A Gebo, Brenna C Hogan, Elizabeth Humes, Keri N Althoff","doi":"10.1038/s43856-026-01761-w","DOIUrl":"https://doi.org/10.1038/s43856-026-01761-w","url":null,"abstract":"<p><strong>Background: </strong>COVID infection has been linked to long-term effects known as Long COVID Conditions (PCC), presenting within 30-120 days post-acute COVID infection. Few studies have focused on PCC incidence among people with HIV (PLWH). Additionally, the effect of vaccination, especially among PLWH, is unclear on the risk for PCC. We evaluate PCC incidence among PLWH compared with people without HIV (PWoH), as well as the effect of COVID vaccination, within an integrated closed healthcare system with high ascertainment of COVID-19 testing.</p><p><strong>Methods: </strong>Adult patients with a positive polymerase chain reaction test for COVID between 1/1/2020-1/31/2022 were matched PLWH to PWoH by month of test, age, race, sex, vaccination status, using 1:3 variable ratio matching. PCC was defined as presenting with at least one of 17 previously identified conditions incident in the 30-120 days post first positive test date. We determined the effect of COVID vaccination on subsequent development of PCC using an unmatched PLWH/PWoH population analyzed by multivariate regression modeling.</p><p><strong>Results: </strong>We show that 749 PLWH matched to 2,236 PWoH for PCC incidence evaluation and 492 (PLWH) and 71,844 PWoH for vaccination analysis. PLWH have 25% higher risk of PCC than PWoH. Gastrointestinal and other nervous system disorders are significantly higher among PLWH. Vaccination has significant impact on acute-persistent PCC risk but not late incident PCC without impact by HIV status.</p><p><strong>Conclusion: </strong>PLWH have higher risk of PCC. Vaccination lowers persistent symptom risk, but not late incident PCC risk. Vaccination and vigilance for PCC is encouraged.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":" ","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148426862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A metabolic test to distinguish temporary and persistent renal graft dysfunction prior to transplantation.","authors":"Charlotte von Horn, Laura Malkus, Ruth Winzen, Thomas Minor","doi":"10.1038/s43856-026-01736-x","DOIUrl":"10.1038/s43856-026-01736-x","url":null,"abstract":"<p><strong>Background: </strong>Despite donor organ shortage, many grafts are still discarded due to questionable quality. Functional evaluation of the graft prior to transplantation is compromised by the fact that many kidneys suffer from transient filtration failure early after preservation. We tried to circumvent this problem by using a non-invasive quantitative method to determine metabolic turnover of 13C-acetate in the isolated perfused kidney and then correlating this to graft function after actual transplantation.</p><p><strong>Methods: </strong>Female porcine kidneys subjected to varying degrees of ischemic injury were put on a machine perfusion device. After injection of non-radioactive 13C-labelled acetate to the perfusate, its turnover by the citrate cycle was quantified by direct detection of 13CO2 in the gas outflow of the oxygenator with a mobile, high precision laser spectrometer.</p><p><strong>Results: </strong>Even in the absence of urine production the method discriminates all kidneys that go on to resume function from those that do not resume function after actual transplantation. There is no overlap between the two groups.</p><p><strong>Conclusions: </strong>Potentially the 13 C turnover test offers an objective, quantitative and valuable adjunct in the toolbox for pre-transplant evaluation of questionable grafts.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"6 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13350869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148426963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of generative artificial intelligence (AI) to support pain neuroscience research in persons who are pregnant.","authors":"Scott Holmes, Claire Ross, Alexa Huesgen Hobbs, Margie H Davenport","doi":"10.1038/s43856-026-01773-6","DOIUrl":"10.1038/s43856-026-01773-6","url":null,"abstract":"","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"6 1","pages":""},"PeriodicalIF":7.4,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13346607/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148414147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}