{"title":"Erratum: 272 Evaluating well-being in underserved communities through culinary and nutrition education: Adaptation of the PERMA profiler for youth - CORRIGENDUM.","authors":"Saloni Divyang Kanani, Siobhan Lawler, Nicole Farmer, Deanna Jessop","doi":"10.1017/cts.2025.10059","DOIUrl":"https://doi.org/10.1017/cts.2025.10059","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1017/cts.2024.915.].</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e115"},"PeriodicalIF":2.1,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12171916/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144317053","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}
Stephanie Lovinsky-Desir, Lauren S Chernick, Brett Anderson, Teresa Lee, Marisa N Spann, Jennifer Woo Baidal, Gissette Reyes-Soffer
{"title":"Development of a peer and near-peer mentoring program to support early career research faculty: The ASPIRE! program.","authors":"Stephanie Lovinsky-Desir, Lauren S Chernick, Brett Anderson, Teresa Lee, Marisa N Spann, Jennifer Woo Baidal, Gissette Reyes-Soffer","doi":"10.1017/cts.2025.10053","DOIUrl":"10.1017/cts.2025.10053","url":null,"abstract":"<p><p>ASPIRE! <i>(Accountability and Safe-space to Promote, Inspire, Recharge, and Empower)</i> is a peer mentoring group and peer/near-peer mentoring program established in 2016 by a group of seven early career clinician and non-clinician, research faculty. All founding members participated in the TRANSFORM KL2 Program at Columbia University Irving Medical Center's Irving Institute for Clinical and Translational Research. In this short communication, we describe the origins of this peer mentoring group established to support these seven early-career KL2 scholars. We also provide a summary of the development of an institution-wide peer mentoring program, created by the seven members of the initial peer mentoring group. We highlight how being at similar career stages, coming from different institutional departments, and sharing common academic goals in a safe space may have contributed to the success of the peer mentoring group. Our individual successes and experiences demonstrate that peer mentoring can be a powerful tool for enhancing the early-career academic experience.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e139"},"PeriodicalIF":2.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642702","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}
Steven C Grambow, Manisha Desai, Kevin P Weinfurt, Christopher J Lindsell, Michael J Pencina, Lacey Rende, Gina-Maria Pomann
{"title":"Integrating large language models in biostatistical workflows for clinical and translational research.","authors":"Steven C Grambow, Manisha Desai, Kevin P Weinfurt, Christopher J Lindsell, Michael J Pencina, Lacey Rende, Gina-Maria Pomann","doi":"10.1017/cts.2025.10064","DOIUrl":"10.1017/cts.2025.10064","url":null,"abstract":"<p><strong>Introduction: </strong>Biostatisticians increasingly use large language models (LLMs) to enhance efficiency, yet practical guidance on responsible integration is limited. This study explores current LLM usage, challenges, and training needs to support biostatisticians.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted across three biostatistics units at two academic medical centers. The survey assessed LLM usage across three key professional activities: communication and leadership, clinical and domain knowledge, and quantitative expertise. Responses were analyzed using descriptive statistics, while free-text responses underwent thematic analysis.</p><p><strong>Results: </strong>Of 208 eligible biostatisticians (162 staff and 46 faculty), 69 (33.2%) responded. Among them, 44 (63.8%) reported using LLMs; of the 43 who answered the frequency question, 20 (46.5%) used them daily and 16 (37.2%) weekly. LLMs improved productivity in coding, writing, and literature review; however, 29 of 41 respondents (70.7%) reported significant errors, including incorrect code, statistical misinterpretations, and hallucinated functions. Key verification strategies included expertise, external validation, debugging, and manual inspection. Among 58 respondents providing training feedback, 44 (75.9%) requested case studies, 40 (69.0%) sought interactive tutorials, and 37 (63.8%) desired structured training.</p><p><strong>Conclusions: </strong>LLM usage is notable among respondents at two academic medical centers, though response patterns likely reflect early adopters. While LLMs enhance productivity, challenges like errors and reliability concerns highlight the need for verification strategies and systematic validation. The strong interest in training underscores the need for structured guidance. As an initial step, we propose eight core principles for responsible LLM integration, offering a preliminary framework for structured usage, validation, and ethical considerations.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e131"},"PeriodicalIF":2.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260977/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642715","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":"A conversation with Loren Miller, MD, MPH, professor and chief, Division of Infectious Diseases, Lundquist Institute at Harbor-UCLA.","authors":"","doi":"10.1017/cts.2025.10045","DOIUrl":"https://doi.org/10.1017/cts.2025.10045","url":null,"abstract":"","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e116"},"PeriodicalIF":2.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540427","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":"A conversation with Jonathan M. Davis, MD, Vice-chair of Pediatrics, Tufts Medical Center, Tufts University School of Medicine.","authors":"","doi":"10.1017/cts.2025.10046","DOIUrl":"https://doi.org/10.1017/cts.2025.10046","url":null,"abstract":"","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e117"},"PeriodicalIF":2.1,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540426","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}
Nicholas Prestayko, Pilar N Ossorio, Abbey Fisher, Nikhil Menon, Danielle Symons Downs, Lea G Yerby, Aleksandra E Zgierska
{"title":"Presence of Institutional Guidance on Research-Related Transportation Could Help Reduce Barriers to and Disparities in Research Engagement.","authors":"Nicholas Prestayko, Pilar N Ossorio, Abbey Fisher, Nikhil Menon, Danielle Symons Downs, Lea G Yerby, Aleksandra E Zgierska","doi":"10.1017/cts.2025.10052","DOIUrl":"10.1017/cts.2025.10052","url":null,"abstract":"<p><strong>Introduction: </strong>Lack of reliable, affordable transportation is a common barrier to clinical research participation, potentially contributing to health disparities. Insufficient and/or nonexistent institutional policies on research-related transportation make it challenging for research teams to effectively overcome transportation barriers and promote research participation among people from disadvantaged backgrounds. This study's goal was to review research-related transportation policies across clinical research-involved institutions and propose recommendations for what such policies should address to help promote research engagement among diverse, representative populations.</p><p><strong>Methods: </strong>We surveyed 28 recruitment sites, members of the National Institutes of Health-funded Healthy Brain and Child Development Consortium, poised to recruit over 7000 families, and completed an online search for each site's policies relevant to research-related transportation (i.e., transportation of participants or research staff travel to/from research activities). We identified, reviewed, and thematically described content of the relevant policies and developed summary recommendations for institutional guidance components.</p><p><strong>Results: </strong>We identified seven policies (from five sites) on research-related transportation; four provided guidance on research-related transportation services; two on reimbursement; and one on when research staff transports participants. The online search identified publicly available business travel policies for 22 sites. No policy addressed research staff travel specifically for \"study business\" or research personnel transporting children for research purposes.</p><p><strong>Conclusions: </strong>Few institutions involved in clinical research have policies guiding research-related transportation. Such policies, if adopted, could help support research-related transportation and, thus, participation of individuals from disadvantaged backgrounds, increasing generalizability of research results and contributing toward reducing social and health disparities.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e128"},"PeriodicalIF":2.1,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209963/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540440","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}
Felicity T Enders, Elizabeth H Golembiewski, Karen DSouza, Lisa A Burton, Audrey E Elegbede, Rahma Warsame
{"title":"Mentoring across differences: Introducing hidden curriculum competencies for scientific mentors.","authors":"Felicity T Enders, Elizabeth H Golembiewski, Karen DSouza, Lisa A Burton, Audrey E Elegbede, Rahma Warsame","doi":"10.1017/cts.2025.10049","DOIUrl":"10.1017/cts.2025.10049","url":null,"abstract":"<p><strong>Background: </strong>The hidden curriculum refers to the implicit norms and behaviors in academic environments that can particularly disadvantage scholars from backgrounds underrepresented in the scientific workforce (URSW). Critically, scientific mentors can support URSW mentees by making the hidden curriculum explicit to help these scholars navigate academia more effectively. However, mentors often lack the lived experience or training necessary to understand and fully address relevant hidden curriculum challenges.</p><p><strong>Methods: </strong>We developed a set of 16 hidden curriculum competencies specifically for scientific mentors working with URSW mentees. A survey was conducted among diversity, equity, inclusion, and accessibility experts in translational science to assess the perceived importance of each competency. Their feedback was used to refine the final competencies, from which a conceptual framework was developed.</p><p><strong>Results: </strong>Survey results (<i>n</i> = 62) showed broad agreement on the competencies' critical importance for mentoring across diversity, with several competencies, including identifying unconscious biases, acting as allies, and demystifying career pathways, receiving over 90% agreement for their importance for mentoring URSW mentees. Respondents from URSW backgrounds placed greater emphasis (<i>p</i> < 0.05) on several competencies, including understanding mentee perspectives, expanding professional networks, and allyship.</p><p><strong>Conclusion: </strong>The 16 competencies, grouped into four domains (Foundation, Career, Science, and Overcoming Bias), collectively offer a comprehensive approach for mentors to build trust, support mentee career development, overcome practical barriers to mentee engagement in research, and actively combat bias. Our conceptual framework offers structured guidance for mentors and mentor training programs, identifying the skills needed to foster inclusive academic environments and enhance URSW retention and success.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e141"},"PeriodicalIF":2.1,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260998/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642717","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}
Elijah Kindred, Alejandra L Ibañez, Marta Cerda, Emily Kowey, Hugh Musick, Robin Mermelstein, Lynn B Gerald, Jerry A Krishnan
{"title":"Designing for trustworthiness and research reciprocity: An example from the Illinois research network hub in the NIH RECOVER adult cohort study.","authors":"Elijah Kindred, Alejandra L Ibañez, Marta Cerda, Emily Kowey, Hugh Musick, Robin Mermelstein, Lynn B Gerald, Jerry A Krishnan","doi":"10.1017/cts.2025.10050","DOIUrl":"10.1017/cts.2025.10050","url":null,"abstract":"","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e125"},"PeriodicalIF":2.1,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209961/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540430","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}
Kristin Morrow, Debajyoti Datta, Lindsey Spiegelman, Roy Almog, Kai Zheng, Don Brown, Dan Michael Cooper
{"title":"From theory to practice - assessing translation of physical fitness research in the emergency department through machine learning and natural language processing.","authors":"Kristin Morrow, Debajyoti Datta, Lindsey Spiegelman, Roy Almog, Kai Zheng, Don Brown, Dan Michael Cooper","doi":"10.1017/cts.2025.10051","DOIUrl":"10.1017/cts.2025.10051","url":null,"abstract":"<p><strong>Background: </strong>A critical challenge for biomedical investigators is the delay between research and its adoption, yet there are few tools that use bibliometrics and artificial intelligence to address this translational gap. We built a tool to quantify translation of clinical investigation using novel approaches to identify themes in published clinical trials from PubMed and their appearance in the natural language elements of the electronic health record (EHR).</p><p><strong>Methods: </strong>As a use case, we selected the translation of known health effects of exercise for heart disease, as found in published clinical trials, with the appearance of these themes in the EHR of heart disease patients seen in an emergency department (ED). We present a self-supervised framework that quantifies semantic similarity of themes within the EHR.</p><p><strong>Results: </strong>We found that 12.7% of the clinical trial abstracts dataset recommended aerobic exercise or strength training. Of the ED treatment plans, 19.2% related to heart disease. Of these, the treatment plans that included heart disease identified aerobic exercise or strength training only 0.34% of the time. Treatment plans from the overall ED dataset mentioned aerobic exercise or strength training less than 5% of the time.</p><p><strong>Conclusions: </strong>Having access to publicly available clinical research and associated EHR data, including clinician notes and after-visit summaries, provided a unique opportunity to assess the adoption of clinical research in medical practice. This approach can be used for a variety of clinical conditions, and if assessed over time could measure implementation effectiveness of quality improvement strategies and clinical guidelines.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e133"},"PeriodicalIF":2.1,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260978/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642714","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}
R Seguin-Fowler, C Amos, B Beech, R Ferrer, L McNeill, J Opusunju, E Spence, E Thompson, L Torres-Hostos, J Vishwanatha
{"title":"Erratum: The Texas Community-Engagement Research Alliance Against COVID-19 in Disproportionately Affected Communities (TX CEAL) Consortium - CORRIGENDUM.","authors":"R Seguin-Fowler, C Amos, B Beech, R Ferrer, L McNeill, J Opusunju, E Spence, E Thompson, L Torres-Hostos, J Vishwanatha","doi":"10.1017/cts.2025.88","DOIUrl":"10.1017/cts.2025.88","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1017/cts.2022.395.].</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e101"},"PeriodicalIF":2.1,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144110482","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}