Objectives/Goals: Clozapine is the most effective treatment for people with treatment-resistant schizophrenia but is underutilized. Black patients are less likely to receive clozapine than White patients. Given limited data on the efficacy of clozapine in this population, we assessed clinical response in a large clinical trial of clozapine in Black patients. Methods/Study Population: This secondary analysis of a 6-month prospective, open-label clinical trial of clozapine in Black patients with schizophrenia spectrum disorders included 221 participants, 103 from Maryland, and 118 from Nigeria. The primary outcome was reduction in symptom severity as measured by total Brief Psychiatric Rating Scale (BPRS) over time on clozapine and modeled by a linear mixed effects model adjusted for age, sex, location, marital status, diagnosis, smoking status, Duffy null (ACKR-1 CC) genotype, clozapine dose, and clozapine level. We also assessed (i) changes in BPRS subscales over time, (ii) predictors of 20% improvement in BPRS, (iii) time to 20% BPRS improvement, and (v) the burden of clozapine side effects and the association of side effects and clinical improvement. Results/Anticipated Results: The average age was 40.2 years; 63% were male, 78% had schizophrenia, and 20% had schizoaffective disorder. BPRS total scores improved by 10.94 points (p < 0.001), adjusting for age, sex, and clozapine dose. Participants showed significant improvement in positive, resistance, affective, and activation, but not negative subscale scores. Nigerian participants were 21.5 times more likely to demonstrate 20% BPRS improvement compared to Maryland participants (p <0.001) and showed improvement more quickly, with most of the improvement in the first 4 weeks in Nigerian participants and 12 weeks for those in Maryland. 44.1% of participants had weight gain of at least 5% from baseline to endpoint. Improvement in tardive dyskinesia (p = 0.008) and weight gain (p < 0.001) were associated with BPRS improvement. Discussion/Significance of Impact: This study demonstrates clozapine’s efficacy in Black patients with schizophrenia spectrum disorders. Greater improvement in Nigerian participants may reflect differences in treatment resistance, social support, or expectation bias across groups. Further research is needed to improve utilization of clozapine in Black patients.

Objectives/Goals: To describe one method of strengthening community–academic research partnerships, the Community Scientist Program, and to provide an example of a successful collaboration this program enabled, the Kiosk Project. Methods/Study Population: In collaboration with its community and academic partners, NJ ACTS developed the Community Scientist program, a training and research partnership program that includes human research protections training and team building between community and academic partners for community-engaged research. This program has enabled rapid formation of subsequent research teams – and rapid project implementation. One example is the Kiosk Project. A community–academic team mobilized to take advantage of an internal pilot funding opportunity, designing and executing a project to address disparities in knowledge and participation in clinical trials. Results/Anticipated Results: Five community partners, including four Community Scientists, teamed up with academic researchers to user-test a short video to be placed in local medical settings. This video was designed to educate community members about clinical trials and encourage participation. Together, the team created recruitment and focus group materials. Within 2 months, community partners recruited 40 participants for two rounds for a total of four focus groups. The team reviewed the first focus groups’ comments to determine editing needs. Focus groups then viewed the revised video, concurring that the video successfully incorporated their feedback. Participants provided testimonials about their focus group experience, highlighting the value of their contributions for projects impacting their communities. Discussion/Significance of Impact: Methods for strengthening community–academic research partnerships include programs for developing community research champions and advancing shared research goals. Enriched research partnerships enable rapid recruitment and high levels of community engagement in advancing community health priorities.

Objectives/Goals: Community-engaged research (CER) helps ensure that research findings reach communities. To support it, we administer a pilot program to foster partnerships, build research capacity, and generate data for larger initiatives. We sought to understand the determinants that influence community research pilot project implementation. Methods/Study Population: The community research award provides $30,000 and 24 months of support to a community–academic team. Awardees receive CTSA support through a capacity-building orientation, online written and video materials, and optional office hours. We conducted semi-structured interviews with the community and academic leads using an Integrated-Promoting Action on Research Implementation in Health Services (i-PARIHS)-based guide to examine how the research project, recipients, context, and facilitation shaped implementation. Transcripts were analyzed using rapid qualitative analysis methods. Two coders independently reviewed each transcript and completed a summary template which were then analyzed by partner type and i-PARIHS construct. Results/Anticipated Results: A total of six community leads and seven academic leads who received funds between 2020 and 2024 were interviewed. Three community partners and three academic partners completed projects. Partner commitment and expertise were emphasized as project facilitators, while role ambiguity and turnover were barriers. Innovation was valued for adaptation to community context and increased capacity; however, some leads noted tensions between research and advocacy goals. Context barriers included limited funding, COVID-19, and shifting CBO, local, and national policies. CTSA-provided Facilitation was mentioned positively by nearly all community leads. Academic leads interacted with the CTSA team primarily when conflicts arose. Discussion/Significance of Impact: The i-PARIHS framework highlighted how strong partnerships, expertise, and adaptation to community context enabled projects, while role ambiguity, turnover, and contextual challenges impeded progress. Strengthening facilitation, clarifying roles and responsibilities, and planning for turnover may enhance future projects.

Objectives/Goals: The purpose of this study is to explore and understand the experience of loneliness in adults over 65 years of age with chronic illnesses residing in public and private community dwellings in Puerto Rico. Methods/Study Population: The Phenomenological qualitative approach aims to deepen participants’ understanding of how they define loneliness, the associated risk factors, the strategies they use to cope with it, and its perceived effectiveness. The project has three phases: the first phase involves obtaining informed consent, the second phase consists of the interview, and the third phase concludes the interview with a reminder that a follow-up meeting will be held to validate the information collected. This study will use a convenience sampling method to recruit 20 participants aged 65 years or older with chronic illnesses residing in public (10 participants) and private (10 participants) community dwellings in Puerto Rico. Results/Anticipated Results: This study is needed to better understand how older adults with chronic illnesses experience loneliness, what factors influence their perception, and what strategies they use to cope with it. Discussion/Significance of Impact: The findings may inform community interventions and public policies aimed at improving the quality of life for this population.

Objectives/Goals: People experiencing homelessness (PEH) face disproportionate cervical cancer burden and screening barriers. Our goal was to design a tailored intervention involving community health worker (CHW)-led education and delivery of context-appropriate screening options in two homeless shelters in Indiana. Methods/Study Population: Guided by a community advisory board and following a human-centered design (HCD) framework, interviews with 30 PEH were conducted in the inspiration phase to explore experiences, knowledge, and attitudes toward cervical cancer screening, including human papillomavirus (HPV) self-sampling, a novel approach where patients collect their own vaginal swab. Rapid qualitative analysis informed an HCD session with 12 PEH in the ideation phase to further explore screening motivators and key messages to encourage uptake of HPV self-sampling. Data were synthesized into an educational flipbook and iteratively refined with participant feedback. Results/Anticipated Results: Findings from interviews and the HCD session highlighted a strong desire to be screened and the need for clear information, access to a trusted CHW, and choice in screening options. The final intervention consisted of an individual cervical cancer education session with a CHW utilizing the educational flipbook, followed by optional screening through HPV self-sampling at the shelter and/or navigation to a clinic. To date, a total of 200 participants have enrolled in the education session. Preliminary results show significant knowledge gains and retention and positive shifts in attitudes toward screening. After an education flipbook redesign, HPV self-sampling uptake significantly increased. Discussion/Significance of Impact: Applying a HCD approach enabled meaningful engagement to iteratively develop and refine an intervention that addressed community needs, increased HPV self-sampling uptake, and expanded cervical cancer screening access for people experiencing homelessness in Indiana.

Objectives/Goals: Ongoing engagement between community and health organizations is key to improving perinatal health outcomes. The San Francisco Pregnancy Family Village partnered with Streetwyze, an online private community platform, to share real-time experiences and feedback with organizations and enhance continuous engagement between events. Methods/Study Population: We are using a mixed-methods design combining platform analytics, community focus groups, and surveys to evaluate feasibility, acceptability, and early impact of the Streetwyze platform. Measures include frequency and type of engagement, perceived enablers and barriers to use, and indicators of trust and communication between community members and organizations. Enrollment onto the platform will initially focus on Black pregnant and postpartum San Francisco residents and SFPFV partnering organizations. Our evaluation group will include Streetwyze adopters and non-adopters to assess differential uptake and experiences. Data will inform additional iterations of platform design and implementation. Results/Anticipated Results: Early implementation data from August and October 2025 suggests strong organizational and community interest and engagement (n=25), with feedback that highlight the need for clear communication roles and expectations, robust data security and privacy measures, and a culturally reflective platform design. Ongoing analysis will explore how these factors influence acceptability and how digital platforms can function as a communication tool and mechanism for community to navigate perinatal services. We aim to demonstrate how Streetwyze can strengthen organizational accountability to improve care access and delivery for underserved pregnant and postpartum San Francisco residents. Discussion/Significance of Impact: This study demonstrates how Streetwyze, a community-centered digital platform, can be adopted and promote communication and trust between community members and organizations. This can inform future strategies to achieve equitable pregnancy care outcomes through digital community engagement.

Objectives/Goals: To evaluate how establishing a food pantry through partnerships with Bread of the Mighty and Feeding Northeast Florida influenced community engagement at UF HealthStreet between 2023 and 2025. Methods/Study Population: UF HealthStreet, a community engagement program, became part of the Healthy Pantry network through partnerships with Bread of the Mighty and Feeding Northeast Florida. 14,678 people are part of the UF HealthStreet registry and 47% self-reported experiencing food insecurity. To evaluate impact, engagement data from two 12-month periods were compared: June 1, 2023–May 31, 2024 (pre-food pantry) and June 1, 2024–May 31, 2025 (food pantry year). Metrics included HNAs, referrals, and visits analyzed to assess engagement changes. Results/Anticipated Results: Community engagement increased from 2,705 visits (pre-pantry) to 7,726 (post-pantry), including 4,243 connected through pantry visits. The number of people visiting UF HealthStreet rose from 1,210 (pre-pantry) to 2,286 (post-pantry), demonstrating broader community reach. Average monthly HNAs rose from 35 to 52 (~1.5x increase). Referrals grew slightly from 2,093 to 2,129, reflecting sustained service linkages amid expanded participation. Becoming a Healthy Pantry site strengthened UF HealthStreet’s capacity to address food insecurity and reduce health disparities. Discussion/Significance of Impact: Food bank partnerships expanded UF HealthStreet’s reach and strengthened community trust. More visits and return participants reflect deeper engagement. Integrating food access into health outreach advances translational science and helps address health disparities.

Objectives/Goals: At academic institutions, numerous programs aim to foster academic–community connections. We describe a collaborative infrastructure that streamlines and enhances community-engaged research, demonstrating how coordinated systems and shared expertise can reduce duplication, strengthen partnerships, and expand reach and impact. Methods/Study Population: At an academic medical center, community-facing programs of three major institutes – a Clinical and Translational Research Institute (CTSA), Cancer Institute, and Practice-based Research Network – unite to establish a collaborative infrastructure designed to leverage resources, minimize competition, enhance collaboration, and present a unified effort. Employing one platform to collect, track, and respond to technical assistance (TA) requests from academic and community partners, representatives from each institute meet weekly, using a group-developed standard operating procedure, to efficiently and collaboratively advance community-engaged research efforts. This unified approach is coordinated by the CSTA and supported by joint leadership across all three institutes. Results/Anticipated Results: Since 2021, we have reviewed and responded to numerous TA requests supporting academic and community partners. Academic partners sought support related to incorporating community perspectives into study design and implementation, participant recruitment, and grant development. Community partners requested assistance with data analysis and interpretation, program evaluation, and grant support. TA projects came from diverse regions, including rural and frontier counties outside of the metropolitan academic medical center. We collaborated with a variety of community organizations, and many projects involved cross-institute teams. Final analysis, including detailed breakdowns by partner type, service category, and geographic distribution, will be presented. Discussion/Significance of Impact: Backbone coordination, shared leadership, and centralized data systems sustain complex collaborations. In the future, we plan to assess partner satisfaction and expand to include additional academic institutes. This collaborative infrastructure coordination is a scalable model for enhancing community-engaged translational science.

Objectives/Goals: Resource navigator programs (RNPs) improve care coordination and access to social resources, but designs vary widely. We aim to evaluate patient and family experiences across three distinct pediatric RNPs, focusing on how program structure and context influence satisfaction and perceived impact. Methods/Study Population: Using purposive, criterion-based sampling, we will recruit families who completed one of three established Bay Area RNPs. Surveys will assess satisfaction and perceived support addressing social needs, while qualitative semi-structured interviews informed by the Consolidated Framework for Implementation Research and literature review will examine participants’ lived experiences with the RNPs, probing family attitudes on identifying social needs, their experiences in being connected with community-based organizations, and their perceived impact on their child’s health and well-being. Dedoose will be used for qualitative data management and coding organization. Survey and interview findings will be triangulated to identify converging themes. Results/Anticipated Results: Our interview guide has been developed and we are in the process of recruiting participants. Two of the sites are tertiary children’s hospitals and one is a safety-net hospital. The programs vary in structure and intensity, from a student volunteer model and a community health worker model with 6-month follow-up to an interventionist-led model with 1-year follow-up. We hypothesize that clinics serving medically complex patient populations will benefit most from longitudinal RNPs with dedicated interventional staff, given their extended contact with the healthcare system, whereas volunteer-based programs with shorter follow-up may be more effective in primary care settings, reaching larger populations with less intensive needs. Discussion/Significance of Impact: Insights from patient and family experiences can guide adaptation to local contexts and inform evidence-based decisions for hospitals implementing or refining RNPs. Findings will better inform the design and implementation of a new RNP for socially vulnerable pediatric surgical patients in the Bay Area.

Objectives/Goals: The CHIRP program aims to promote community-driven research on local health priorities, strengthen community–academic partnerships, and build capacity for sustainable and fair research through education, training, and mentoring, while supporting CTSA’s mission to advance translational science. Methods/Study Population: CHIRP, funded by NCATS/CCTS, supports community/academic partnered teams to conduct impactful research in community or clinical settings. Selected projects have undergone a competitive application process: eligibility screening by the CHIRP team, a panel review by both community and academic partners, and scoring using a 9-point NIH system. After final approval by CCTS leadership, selected teams consisting of at least one community partner and one academic partner participate in a mandatory 2-day Proposal Development Retreat where they receive training and resources to further refine their proposal. Upon IRB approval, teams receive funding of up to $20,000 and mentorship from experts during the grant period to support implementation of the proposed project. Results/Anticipated Results: Since its inception, CHIRP has funded 20 academic teams in 3 CTSA regions of Texas (Houston, Northeast Texas, and Rio Grande Valley) in partnership with 20 community organizations such as public schools, faith-based organizations, and community-based health provider organizations, providing $380,000 funding for clinical research or initiatives on health promotion and disease prevention strategies driven by community need. The program resulted in 10 peer-reviewed articles, 15 conference presentations, and multiple community forums. Currently, CHIRP is supporting its fifth cohort of fellows who completed the Proposal Development Retreat and a majority reported being “Very Satisfied” with the training. Discussion/Significance of Impact: The CHIRP model supports community–academic partnerships to drive translational research. The model has application for other sites wanting to train and support community-engaged research and strengthen the translational research pipeline.

Objectives/Goals: Although parental ethnic-racial socialization (ERS) supports positive mental health outcomes, existing literature often treats Black identity as monolithic and rarely considers variation across ethnic backgrounds. This study examines differences in ERS messages shared by African American and Somali families. Methods/Study Population: Three dyadic focus groups were conducted between June and August 2025, including a total of 15 (8 Somali and 7 African American) parents and 14 (7 Somali and 7 African American) youth (N=29). Parents and youth participated in separate, semi-structured discussions guided by a parallel script covering five domains: identity and family, racial socialization messaging, context and frequency of conversations, the perceived usefulness of messages, and responses to racialized experiences. Sessions, which lasted 60 to 90 minutes, were audio-recorded, transcribed verbatim, and analyzed in NVivo using a collaboratively developed codebook. Descriptive counts of message endorsement were also calculated to identify patterns in messaging across dyads. Results/Anticipated Results: Participants shared a complex understanding of race and racism, often acknowledging that race “shouldn’t matter, but does,” and describing discrimination as a normalized part of daily life. Parents emphasized that racist moments require a response, while youth described a range of reactions, including anticipation, humor, resistance, and disengagement, often adapting strategies to specific contexts. Across dyads, anticipation emerged as a dominant coping mechanism, with youth preparing mentally and emotionally for potential racial bias. Social media and humor were commonly used for processing experiences, while parents often encouraged measured resistance or dialog over avoidance or physical confrontation. Discussion/Significance of Impact: This study, by examining differences in racial socialization messages across Black ethnic subgroups, can easily identify novel intervention routes that may have been overlooked. Existing racial socialization mental health programs can be expanded and adapted to incorporate the unique messaging or values identified by these different groups.

Objectives/Goals: Describe key elements of CEARCH’s community-engaged research (CEnR) approach to program development. Provide three CEARCH case examples illustrating CEnR-based program development. Showcase a model for applying CEnR approaches in program design from ideation through evaluation. Methods/Study Population: CEARCH, the University of Minnesota Clinical and Translational Science Institute’s Community Engagement core, utilizes community-engaged research (CEnR) best practices aligned with its collaboratively established values to develop and implement programming. CEARCH builds programs through shared decision-making, power and resource sharing, conflict resolution, and authentic conversations that lead to a collaborative leadership approach. All programming is structured via a community–academic leadership model and engages community members through a governing council and workgroups. Results/Anticipated Results: Through a collaborative leadership approach, CEARCH’s process increases depth and relevance to the communities being served. As a result, programming is built on trusting relationships. Shared decision-making ensures that all relevant constituents are driving program needs, involved in its creation, and part of its leadership. CEARCH has co-designed community-engaged research training materials, hosted community and faculty co-led workshops, and facilitated community feedback sessions that feature community members as experts. In addition, community partners drove the development of a statewide CHW research training, the launching of a community research network, and co-facilitation of training workshops for community and academic partners focused on community-engaged research. Discussion/Significance of Impact: CEARCH uses CEnR practices to center community in program development and leadership. This approach deepens and broadens impact by valuing partners as knowledge holders, experts, and researchers and fosters authentic bi-directional collaboration.

Objectives/Goals: Community Advisory Boards (CABs) offer researchers community perspectives and empower CAB members to learn about research. The Mayo Clinic Center for Clinical and Translational Science (CCaTS) engages communities through six CABs. We describe our efforts over the past 17 years to develop, implement, align, and evaluate the six Mayo Clinic CCaTS CABs. Methods/Study Population: CABs were established in Jacksonville, FL (2008), Rochester, MN (2011), Phoenix, AZ (2014), Pediatrics, MN (2019), Native Tribal Health, MN (2021), Rural, Midwest (2022), and each operated independently. To harmonize CAB structure and function, a framework was developed in 2024 through an assessment of current CAB practices, guidelines, and feedback from CAB members. Through this process, a shared vision, mission, and strategy were created. The goal of harmonization was to align the six CABs with community health needs identified through local Community Health Needs Assessments (CHNAs). This information was consolidated into a new Guiding Document that outlines our unified approach to engaging the community in research through CABs. This harmonization framework provides both structure and flexibility. Results/Anticipated Results: As part of CAB harmonization framework, annual evaluations assess CAB impact, satisfaction, and growth opportunities. One CAB was evaluated in 2023, two in 2024, four in 2025, and all in 2026. CABs have four roles: Members, Board Chairs, Coordinators, and Scientific Leads. Each CAB has 15–20 members serving 3-year terms. CABs meet quarterly, with one in-person meeting annually. Meeting topics fall into four categories: site-based programs, planning, or evaluation; community-engaged research partnerships; research addressing an identified community health need; or a member selected topic that enhances information, education, or capacity building. Members receive orientation, annual training, and compensation. This framework supports community voices in research and aligns with local needs. Discussion/Significance of Impact: By aligning the purpose, structure, and function through a harmonization framework, we unified and amplified community voices in research. Few institutions support such a broad CAB network. With no existing model to meet our unique needs, we developed this flexible framework that fosters alignment while addressing each community’s unique needs.

Objectives/Goals: We previously developed and evaluated a system called MyTrials, which captures biomarker data remotely. We sought to improve that platform to support additional methods of remote biomarker capture, which is especially important in research such as substance use and co-use studies where participants provide several biological verifications. Methods/Study Population: To determine how best to adapt MyTrials, we conducted qualitative interviews with key stakeholders. Our sample of end users (i.e., participants, N=10) included 6 women (3 men and 1 nonbinary participant), 6 White participants (2 Black participants, 1 Asian participant, and 1 multiracial participant), 6 participants with education beyond high school (4 participants with high school/GED), with a mean age of 36.33 years (age range: 21–75), and with a range of substance use behavior (combustible cigarettes [N=6], e-cigarettes [N=3], cannabis use [N=5], and no substance use [N=2]). Our sample of potential customers (N=22) included 12 research investigators, 2 biospecimen lab representatives, 3 research coordinators, 3 representatives from large NIH grant initiatives (ABCT, CTN, and CTSA), and 2 REDCap engineers/managers. Results/Anticipated Results: Emerging themes included 1) suggestions for technical requirements including reliability of core functions, app usability, support access, and data security/compliance and 2) suggestions for commercialization including clarity of instructions, operational logistics, trust in the data collection process, IRB/funder acceptance, and participant retention enablers. Discussion/Significance of Impact: Key feedback themes will inform product improvement to meet the needs for decentralized clinical trials to collect biological or health data without in-person participation.

Objectives/Goals: This project evaluates the acceptability to patients of offering free tax preparation and joint charity-care enrollment in a clinical setting, leveraging an Internal Revenue Service-supported free income tax preparation program. The goal is to reduce administrative barriers and promote continuous access to care. Methods/Study Population: In September 2025, three members of our study team conducted in-person surveys with patients and visitors in outpatient waiting areas at Parkland Health, the county safety-net health system serving Dallas County in North Texas. The 16-item bilingual (English/Spanish) survey was developed in partnership with a large, Internal Revenue Service-supported, local VITA program, Dallas Community Tax Centers (DCTC). The survey collected sociodemographic information, household income, tax-filing practices, current charity care program enrollment status, and interest in combined VITA–charity care enrollment/renewal services. Data were entered into REDCap and analyzed descriptively in Excel. Results/Anticipated Results: Of 300 approached patients, 232 completed the survey, yielding a response rate of 77% (28% Spanish-preferring). Most respondents (86%) estimated that their household income was below $67,000, which would qualify them for VITA tax preparation, yet 82% of those eligible reported that they paid a tax preparer last year. More than half (54%) of respondents were enrolled in the charity care program for the county health system, and 87%of these adults indicated that integrated tax-and-charity care enrollment/renewal services would be helpful. Awareness and reported uptake of the Earned Income Tax Credit (EITC) was low: only 11% of respondents reported applying for EITC during the recent tax season. Interest in shifting to free on-site tax prep services was high, with 72% of respondents indicating a favorable response. Discussion/Significance of Impact: Embedding tax preparation and streamlining charity-care assistance applications in clinical environments was well received and highly acceptable. Future steps include piloting joint VITA–charity-care applications services to assess impact on operational workflows, uptake of both programs, continuity of care, and health outcomes.

Objectives/Goals: This project shares pilot data on types of community engagement activities that are valued and used in faculty promotion and tenure (P&T) in academic public health. The pilot will expand beyond public health to other types of academic institutions to examine P&T guidelines and gather additional data through multiple case study design. Methods/Study Population: We collected preliminary data through a survey disseminated to public health schools and programs about perceived value and actual use of community-engaged research (CEnR) in faculty promotion and tenure. Thirteen activities, grouped into four categories (dissemination, education and training, leadership, and other), were ranked within these four groups and overall. In the project expansion, we will review P&T guidelines in academic institutions more broadly (beyond public health) and conduct interviews with relevant stakeholders, such as faculty affairs representatives and faculty in practice track positions. Results/Anticipated Results: Preliminary data show that while schools include CEnR in their P&T guidelines, they are often vague. In addition, the findings suggest that publishing in peer-reviewed journals and obtaining grants or contracts are, by far, the most valued and used activities for faculty promotion and tenure decisions. Least valued and used included disseminating findings through other means (media, policy, or community), developing reports or guidelines with population health implications, and demonstrating leadership or reputation in CEnR. We anticipate that expansion of this project beyond public health will yield similar results. However, we aim to incorporate institutions that value CEnR and provide examples of and recommendations for faculty successfully navigating P&T while engaging in this work. Discussion/Significance of Impact: Data suggest that traditional research is most valued in academia. The future project will aim to answer what constitutes quality CEnR, who judges it, the value of dissemination beyond peers, and how to utilize traditional academic structures to reward faculty who build relationships to translate research into evidence-based policies and practices.

Objectives/Goals: RF-DASH trains first responders with agricultural health and safety knowledge to prevent farm accidents and improve emergency preparedness in rural communities. We used a collaborative instructional design approach to develop an online version of this in-person, in-demand, highly effective training to increase its reach and enhance its impact. Methods/Study Population: The RF-DASH project team engaged e-learning specialists to develop learning objectives and outcomes, establish course structure, curate elements of the RF-DASH in-person curriculum into e-learning materials, and design interactive course content. We then conducted user testing including an initial content review by expert RF-DASH trainers, two rounds of user testing with agricultural safety professionals and first responders. Feedback from user testing was integrated into the final version of the online training and helped inform the evaluation plan that was developed prior to the online training launch in October 2025. Results/Anticipated Results: The RF-DASH Online Course uses interactive learning techniques, including 360° virtual tours of actual farms, animated videos, and knowledge checks. The virtual tours were deemed critical by reviewers for translating the in-person training to an online format while maintaining the real-life applicability that makes the intervention effective and appealing. The co-design approach required flexibility and humility among all actors, which resulted in a stronger product and deep learning for all. The opportunity to “learn what you don’t know you don’t know” was crucial and is not always supported by funders, timelines, or team capacity. For translational science to achieve the breadth and depth of its potential for impact, these challenges should be met with support rather than reluctance whenever possible. Discussion/Significance of Impact: The collaborative co-design process used to create the online version of the training was critical to the quality and relevance of the final product, and the learning that resulted on behalf of the RF-DASH team speaks to the utility of conducting a needs assessment at the outset of adapting any intervention for new audiences and aims.

Objectives/Goals: We aim to enhance risk prediction in kidney transplantation outcomes by improving models of peptide antigen presentation of mismatched HLA molecules. HLA-derived peptides presented by recipient HLA Class II to T-cells can activate an immune response ultimately leading to graft failure. Methods/Study Population: T-cell epitope models for HLA mismatching struggle to predict which peptides are presented because antigen processing by proteases is not well modeled. We model antigen processing of HLA Class II proteins using 3D HLA structures (crystallography data) to create an HLA-specific Antigen Processing Likelihood (APL) model. APL uses conformational stability measurements to predict cleavage sites from proteolysis. We integrated APL into a T-cell epitope prediction tool for HLA-derived peptides called PIRCHE-II that is currently used to risk-stratify risk of kidney allograft failure based on donor and recipient HLA genotypes. To measure risk stratification of APL-informed peptide predictions, we will use a historical kidney transplant cohort from 2000 to 2023. Results/Anticipated Results: We expect the application of APL could reduce false- positive peptide binders that influence risk prediction scores. We anticipate improved peptide prediction accuracy compared to existing tools such as NetMHCIIPan which assumes all possible peptides are equally likely to emerge from antigen processing. NetMHCIIPan is currently used by PIRCHE-II HLA mismatch risk algorithm. Out of 12 donor–recipient transplant pairs, NetMHCIIPan has found an average of 41 peptides per pairing and APL found an average of 62 peptides per pairing. These peptides are unique to each prediction, so a combined prediction could reduce the peptide list. We expect that merging antigen processing (APL) and peptide binding (NetMHCIIPan) models into a unified model would enhance risk stratification for graft failure compared to PIRCHE-II. Discussion/Significance of Impact: More holistic modeling of immune pathways can lead to more realistic numbers of peptides found from mismatched HLA proteins. Understanding how HLA matching contributes to kidney transplant outcomes can better stratify risks for recipients, enabling personalized treatment to induce immune tolerance and ultimately improving outcomes.

Objectives/Goals: To develop an information-theoretic alternative to ALE that integrates uneven datasets using log-likelihood ratios (LLRs) under noise versus signal world models. This approach aims to improve reproducibility, signal-to-noise ratio, and computational scalability in neuroimaging meta-analysis. Methods/Study Population: We used both real and simulated coordinate-based datasets to build an information-theoretic meta-analysis framework. The method models each study’s activations under noise versus signal expectations and computes voxelwise LLRs to combine information asymmetrically across uneven datasets. Implemented in Python with NumPy and custom modules, it integrates watershed segmentation for cluster detection and simulation-based calibration. Validation compares results to ALE, testing robustness to injected noise and recovery from highly imbalanced datasets. Results/Anticipated Results: Studies are ongoing. We anticipate improved SNR and recovery robustness compared to ALE, as our approach avoids pre-thresholding before combining information across datasets. Simulation evidence suggests far greater computational efficiency (e.g., reducing 45-min–20-hour ALE runs to under two minutes locally). Conceptually, the framework parallels modern AI training strategies – modeling signal and noise distributions to calibrate evidence rather than relying on fixed significance thresholds. These innovations leverage information theory, watershed algorithms, and simulation calibration to yield interpretable, high-resolution evidence maps. Discussion/Significance of Impact: This framework advances coordinate-based meta-analysis by modeling evidence directly rather than inferring it through p-values. It improves reproducibility, interpretability, and cross-disorder comparability, supporting more robust and scalable neurocircuit mapping for researchers and clinicians.

Objectives/Goals: To evaluate whether signup recency in the Indiana CTSI All IN For Health Volunteer Registry influences responsiveness to outreach for clinical trial recruitment, testing the hypothesis that newer records are more likely to yield referrals. Methods/Study Population: Outreach data from the TrialX Connect registry were analyzed. Each outreach was coded as referral versus no response. Volunteers were grouped by time since signup: <6 months (n=386), 6–12 months (n=282), 1–2 years (n=659), 2–3 years (n=760), and >3 years (n=13,592). Conversion rate was defined as referrals per unique volunteers outreached. Statistical comparisons were made across categories. Results/Anticipated Results: Conversion rates were stable across categories (2.14–3.36%). The 6–12 month cohort had the highest rate (3.36%), while 2–3 years had the lowest (2.14%). Newer (<6 months) volunteers converted at 2.28%. Most referrals (n=345) came from >3 year signups, reflecting their numerical dominance (13,592 signups, ~90% of registry). Discussion/Significance of Impact: Signup recency showed little impact on responsiveness (steady at ~2–3%). Older records produced most referrals due to larger volume, emphasizing the lasting value of long-term participants. Results suggest focusing on sustained engagement and retention over simply expanding the registry.