The interrelation of scientific, ethical, and translational challenges for precision medicine with multimodal biomarkers - A qualitative expert interview study in dermatology research.

This qualitative study examines the impact of scientific, ethical, and translational challenges of precision medicine for atopic dermatitis and psoriasis. The study explores how these challenges affect biomarker research for inflammatory skin diseases as identified by stakeholders, including patient board representatives, pharmaceutical industry partners, and postdoctoral and senior researchers from multiple disciplines in biomarker research. We recruited participating experts both within and associated with the international Biomarkers in Atopic Dermatitis and Psoriasis (BIOMAP) consortium to ensure representation of the different organizational units of the consortium. For the study, we followed the COREQ checklist. The interviews were conducted using GDPR-safe online platforms and the pseudonymized transcripts were analyzed using Atlas.ti. We analyzed the interviews from participants' personal experiences, topic-oriented, and group specific to identify the main themes presented in this article. The findings were presented to peers and to the wider BIOMAP audience, discussed, and a draft was circulated within the consortium for feedback. In this study, we identify and discuss the interrelation of challenges that are relevant to improving precision medicine with multimodal biomarkers. We show how scientific challenges can interrelate with ethical and translational issues, and explain these interdependencies and articulate epistemic and social factors of interdisciplinary collaboration. Based on our findings, we suggest that including patient representatives' perspectives is crucial for highly interrelated and widely diverse research. The proposed integrative perspective is beneficial for all involved stakeholders. Effective communication of science requires reflection on the tension between scientific uncertainty and the goals of precision medicine. Furthermore, we show how changing the perception of the diseases, atopic dermatitis, and psoriasis can benefit patients beyond medical practice.

Impact of Basic Course in Biomedical Research (BCBR) on Medical Teachers and Postgraduate Students Across India: A Cross-Sectional Survey-Based Study.

Introduction Despite world-class medical facilities and clinical expertise in India, various challenges have hampered biomedical research, including limited funding, overburdened healthcare professionals, and inadequate research infrastructure. The National Medical Commission (NMC) has recognized the need to enhance research capabilities in the medical community and mandated the Basic Course in Biomedical Research (BCBR). This study evaluates the impact of BCBR on medical teachers and postgraduate students across India. Methods A cross-sectional survey-based study was conducted among 245 participants who completed BCBR, out of 1,187 who were sent the questionnaire. A structured questionnaire collected data on demographics, motivations for taking the course, knowledge and skills improvement, and research output. Statistical analyses were performed using IBM SPSS Statistics for Windows, Version 29.0 (Released 2022; IBM Corp., Armonk, NY, USA). Results Participants included diverse age groups, with motivations ranging from regulatory compliance to a genuine desire for research knowledge. The majority scored over 70% in the course, indicating substantial knowledge improvement. BCBR positively influenced research output with increased research proposal submissions, publications, and improved thesis mentoring. The analysis showed that participants' designations and branches of study significantly affected course performance, while gender did not. The study revealed a strong correlation between pre-course and post-course performance across various research topics. Conclusion BCBR, mandated by the NMC, not only fulfills regulatory requirements but also promotes a research culture in India's medical community.

EXPRESS: Randomized clinical trials and related concepts in clinical research.

Clinical research is a key factor in healthcare progress, as it contributes towards improving our knowledge on the prevention, aetiology, and treatment of different conditions.Healthcare professionals and researchers should be familiar with this specific terminology and procedures of clinical research to understand and be able to evaluate clinical trial results and make decisions using up-to-date recommendations.To do so, they must be familiar with different methodological aspects: from establishing the type of design, the study population, and the groups to be studied, to understanding the randomization and blinding processes. Additionally, when it comes to communicating the results and publishing them, it is also necessary to know how to do it adequately to ensure transparency.This work includes a description of different concepts commonly used in clinical research, particularly in the clinical trials field, in an attempt to compile different topics by providing a brief and accessible overview.

Applications and advancements in animal models for antiviral research on mosquito-borne arboviruses.

Vector-borne diseases caused by arthropod-borne viruses (arboviruses) are a considerable challenge to public health globally. Mosquito-borne arboviruses, such as Chikungunya, Dengue, and Zika viruses, cause a range of human illnesses and may be fatal. Currently, efforts to control these diseases still face challenges due to growing vector resistance towards insecticides, urbanization, and limited effective antiviral treatments and vaccines. Animal models are crucial in antiviral research on mosquito-borne arboviruses, playing a role in understanding disease mechanisms, vaccine development, and toxicity testing, but the application of animal models still faces the challenges of ethical considerations and animal-to-human translational success. Genetically engineered mouse models, hamster models and non-human primate (NHP) are currently used in arbovirus research, but new models such as tree shrews and novel humanized mice are emerging. In the context of Malaysian research, the use of long-tailed macaques as potential NHP models for arbovirus research is possible; however, it faces the ethical dilemma of using an endangered species for scientific purposes. Overall, animal models play a crucial role in advancing infectious disease research, but a balance between medical research and species conservation must be upheld.

A Coaching-Based Leadership Program for Women Postdoctoral Fellows at the National Cancer Institute that Cultivates Self-confidence and Persistence in STEMM.

Despite making strides in gender equality, women in Science, Technology, Engineering, Mathematics, and Medicine (STEMM) continue to face a persistent underrepresentation in leadership roles. In an effort to reverse this trend, the National Cancer Institute created the Sallie Rosen Kaplan (SRK) Postdoctoral Fellowship, a year-long coaching-based leadership training program. The SRK program aims to empower women to explore careers across a broad range of fields, including academia, industry, and government, and to excel in leadership positions in those fields. Analyzing a decade of data from 111 participants, we describe the positive impact of the SRK program on participant's self-reported capabilities. Increased self-confidence, improved time management and work/life balance, enhanced goal-setting and attainment skills, and strengthened communication and relationship-building abilities are highlighted as statistically significant outcomes. Moreover, the program's emphasis on coaching, mentorship, peer cohort support, and building lasting professional relationships also contributed to high ratings for satisfaction and value of the program. Successful programs like SRK can serve as a model for institutions striving to close gender gaps in leadership.

Identifying and training deep learning neural networks on biomedical-related datasets.

This manuscript describes the development of a resources module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox at the beginning of this Supplement. This module delivers learning materials on implementing deep learning algorithms for biomedical image data in an interactive format that uses appropriate cloud resources for data access and analyses. Biomedical-related datasets are widely used in both research and clinical settings, but the ability for professionally trained clinicians and researchers to interpret datasets becomes difficult as the size and breadth of these datasets increases. Artificial intelligence, and specifically deep learning neural networks, have recently become an important tool in novel biomedical research. However, use is limited due to their computational requirements and confusion regarding different neural network architectures. The goal of this learning module is to introduce types of deep learning neural networks and cover practices that are commonly used in biomedical research. This module is subdivided into four submodules that cover classification, augmentation, segmentation and regression. Each complementary submodule was written on the Google Cloud Platform and contains detailed code and explanations, as well as quizzes and challenges to facilitate user training. Overall, the goal of this learning module is to enable users to identify and integrate the correct type of neural network with their data while highlighting the ease-of-use of cloud computing for implementing neural networks. This manuscript describes the development of a resource module that is part of a learning platform named ``NIGMS Sandbox for Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox [1] at the beginning of this Supplement. This module delivers learning materials on the analysis of bulk and single-cell ATAC-seq data in an interactive format that uses appropriate cloud resources for data access and analyses.

Summer undergraduate biomedical research program for underrepresented minority students in a rural, low-income state.

Introduction: Diversity can enhance the agenda and quality of biomedical research, but a dearth of underrepresented minorities and women serve as biomedical researchers. The study purpose was to examine the impact of the a summer undergraduate research program on self-efficacy in research, scientific communication, and leadership as well as scientific identity, valuing objectives of the scientific community, and intent to pursue a biomedical research career. Methods: Underrepresented minority and female undergraduate students participated in a mentored research experience in a rural, low-income state. Results: Students' self-efficacy in research, scientific communication, and leadership as well as scientific identity, valuing objectives of the scientific community, and intent to pursue a biomedical research career increased post-program compared to pre-program. Conclusion: This study supports implementation of a biomedical summer undergraduate research program for URM and women in a poor, rural, settings.

Using patient portals for large-scale recruitment of individuals underrepresented in biomedical research: an evaluation of engagement patterns throughout the patient portal recruitment process at a single site within the All of Us Research Program.

OBJECTIVE: To evaluate the use of patient portal messaging to recruit individuals historically underrepresented in biomedical research (UBR) to the All of Us Research Program (AoURP) at a single recruitment site. MATERIALS AND METHODS: Patient portal-based recruitment was implemented at Columbia University Irving Medical Center. Patient engagement was assessed using patient's electronic health record (EHR) at four recruitment stages: Consenting to be contacted, opening messages, responding to messages, and showing interest in participating. Demographic and socioeconomic data were also collected from patient's EHR and univariate logistic regression analyses were conducted to assess patient engagement. RESULTS: Between October 2022 and November 2023, a total of 59 592 patients received patient portal messages inviting them to join the AoURP. Among them, 24 445 (41.0%) opened the message, 8983 (15.1%) responded, and 3765 (6.3%) showed interest in joining the program. Though we were unable to link enrollment data with EHR data, we estimate about 2% of patients contacted ultimately enrolled in the AoURP. Patients from underrepresented race and ethnicity communities had lower odds of consenting to be contacted and opening messages, but higher odds of showing interest after responding. DISCUSSION: Patient portal messaging provided both patients and recruitment staff with a more efficient approach to outreach, but patterns of engagement varied across UBR groups. CONCLUSION: Patient portal-based recruitment enables researchers to contact a substantial number of participants from diverse communities. However, more effort is needed to improve engagement from underrepresented racial and ethnic groups at the early stages of the recruitment process.

Understanding the use of CATI and web-based data collection methods during the pandemic among digitally challenged groups at FQHCs: data from the All of Us Research Program.

Introduction: The All of Us Research Program (Program) is an ongoing epidemiologic cohort study focused on collecting lifestyle, health, socioeconomic, environmental, and biological data from 1 million US-based participants. The Program has a focus on enrolling populations that are underrepresented in biomedical research (UBR). Federally Qualified Health Centers (FQHCs) are a key recruitment stream of UBR participants. The Program is digital by design where participants complete surveys via web-based platform. As many FQHC participants are not digitally ready, recruitment and retention is a challenge, requiring high-touch methods. However, high-touch methods ceased as an option in March 2020 when the Program paused in-person activities because of the pandemic. In January 2021, the Program introduced Computer Assisted Telephone Interviewing (CATI) to help participants complete surveys remotely. This paper aims to understand the association between digital readiness and mode of survey completion (CATI vs. web-based platform) by participants at FQHCs. Methods: This study included 2,089 participants who completed one or more surveys via CATI and/or web-based platform between January 28, 2021 (when CATI was introduced) and January 27, 2022 (1 year since CATI introduction). Results and discussion: Results show that among the 700 not-digitally ready participants, 51% used CATI; and of the 1,053 digitally ready participants, 30% used CATI for completing retention surveys. The remaining 336 participants had "Unknown/Missing" digital readiness of which, 34% used CATI. CATI allowed survey completion over the phone with a trained staff member who entered responses on the participant's behalf. Regardless of participants' digital readiness, median time to complete retention surveys was longer with CATI compared to web. CATI resulted in fewer skipped responses than the web-based platform highlighting better data completeness. These findings demonstrate the effectiveness of using CATI for improving response rates in online surveys, especially among populations that are digitally challenged. Analyses provide insights for NIH, healthcare providers, and researchers on the adoption of virtual tools for data collection, telehealth, telemedicine, or patient portals by digitally challenged groups even when in-person assistance continues to remain as an option. It also provides insights on the investment of staff time and support required for virtual administration of tools for health data collection.

Retrospective Case Study on the Evaluation of Inflammatory Markers, Macrophage Inhibitory Protein-1α and Interferon-γ in Sleep Deprivation Condition.

Background and Aim: Sleep is an important physiological process that is necessary for the normal functioning of the body. Sleep greatly affects all aspects of our body, including the immune pathways or immune response system of our body, which plays a determinant role in the development and progression of chronic inflammatory diseases. In this study, we worked to find the relation between sleep deprivation and levels of pro-inflammatory markers macrophage inflammatory protein 1-alpha (MIP-1α) and interferon gamma (IFN-γ). To find the relation between sleep deprivation and levels of pro-inflammatory markers MIP-1α and IFN-γ. Objective: To find the relation between sleep deprivation and levels of pro-inflammatory markers MIP-1α and IFN-γ. Materials and Methods: The study was conducted with 40 individuals as participants, of which 20 were sleep-deprived (SD), and 20 had adequate amounts of sleep. The sleep duration details of the individuals were obtained by questionnaire. Blood was withdrawn from all the subjects after due consent from them. Plasma was separated and was used to evaluate their MIP-1α levels and IFN-γ levels. Results: The MIP-1α levels and levels of IFN-γ were found to be significantly elevated in the SD individuals than that of individuals who had adequate sleep. Conclusion: Sleep loss and sleep deprivation are associated with altered expressions of key regulatory factors and upregulation of pro-inflammatory cytokines production. Thus, sleep deprivation can be considered to be one of the major contributors to the development and progression of various chronic inflammatory diseases.

Exploratory screening for micro-RNA biomarkers in canine multicentric lymphoma.

Lymphoma is one of the most frequent hematopoietic tumors in dogs and shares similar features with human counterparts. MicroRNAs (miRNA, small non-coding RNAs) are pivotal in gene regulation fine tuning and cancer hallmarks are influenced by their aberrant expression. Consequently, miRNA biomarkers may assist predicting therapeutic response and clinical outcome by providing less-invasive novel diagnostics tools. The aim of this study was to detect dysregulated miRNAs in lymphomatous lymph node tissues in comparison to lymph node material or PBMCs from healthy control dogs. Potential significant differences in miRNA expression profiles between four lymphoma entities were evaluated. A customized PCR array was utilized to profile 89 canine target miRNAs. Quantification was performed using qPCR, relative expression was determined by the delta-delta Ct method, and p-values were calculated with student's t-test. In the 14 diffuse large B-cell lymphoma (DLBCL) patients, 28 and 24 different miRNAs were significantly dysregulated compared to lymph node material or PBMCs. Sixteen miRNAs occurred in both control groups, with 12 miRNAs being down- and four miRNAs being upregulated. The six peripheral T-cell lymphoma (PTCL) samples showed 24 and 25 dysregulated miRNAs when compared to the healthy controls. A combined analysis of DLBCL and PTCL samples revealed seven shared and 19 differently expressed miRNAs. Potential biomarkers in T- and B-cell lymphoma could be the miRNA-17/92 cluster and miRNA-181-family together with miRNA-34a and miRNA-150. Diagnostic utility of potential biomarkers must be validated in larger, prospective cohorts of canine lymphoma cases and in higher numbers of physiological patient material.

Organizational aspects of tissue engineering clinical translation: insights from a qualitative case study.

Background: Tissue engineering is a multidisciplinary field that combines principles from cell biology, bioengineering, material sciences, medicine and surgery to create functional and viable bioproducts that can be used to repair or replace damaged or diseased tissues in the human body. The complexity of tissue engineering can affect the prospects of efficiently translating scientific discoveries in the field into scalable clinical approaches that could benefit patients. Organizational challenges may play a key role in the clinical translation of tissue engineering for the benefit of patients. Methods: To gain insight into the organizational aspects of tissue engineering that may create impediments to efficient clinical translation, we conducted a retrospective qualitative case study of one tissue engineering multi-site translational project on knee cartilage engineered tissue grafts. We collected qualitative data using a set of different methods: semi-structured interviews, documentary research and audio-visual content analysis. Results: Our study identified various challenges associated to first-in-human trials in tissue engineering particularly related to: logistics and communication; research participant recruitment; clinician and medical student participation; study management; and regulation. Conclusions: While not directly generalizable to other types of advanced therapies or to regenerative medicine in general, our results offer valuable insights into organizational barriers that may prevent efficient clinical translation in the field of tissue engineering.

Clinical Outcome Assessments and Digital Health Technologies Supporting Clinical Trial Endpoints in Early Parkinson's Disease: Roundtable Proceedings and Roadmap for Research.

This article summarizes the Parkinson's Disease (PD) Endpoints Roundtable, which was held in Washington, D.C., on November 2-3, 2022, and hosted by The Michael J. Fox Foundation for Parkinson's Research, Parkinson's UK, and Parkinson Canada. This event brought representatives from academia and industry together with those from regulatory agencies, community partners, and research funders to discuss challenges in clinical outcome assessment development for treatments in early PD and to identify priorities for the field and opportunities for collaboration. This article provides a summary of the presentations given and topics discussed at the roundtable and synthesizes the discussions about the development of clinical outcome assessments and the use of digital health technologies for developing clinical trial endpoints.

Is it the people or the place? The remarkable 30-year period of integrative physiology research in the Carlson Gymnasium at the University of Colorado Boulder.

Historically, programs of physical education and sport were housed in gymnasium buildings on academic campuses. As physical education evolved to the more scientifically focused successor departments of exercise science and kinesiology, faculty specialization developed in the physiology of exercise. With time, some faculty broadened their research to study the integrative physiology of other biological states and stressors. Through this series of events, a small group of integrative physiologists was formed in the Carlson Gymnasium at the University of Colorado Boulder during the 1990s with the goal of conducting novel biomedical research. The challenges were daunting: no contemporary core laboratory facilities, lack of temperature control, piercing external noise, pests, regular flooding, electrical power outages, and lack of funds for renovation. Despite these obstacles, the group established an innovative program of translational physiological research ranging from high-throughput molecular analyses to cell models to rodent studies to clinical trials in humans. These investigators supported their work with grant awards from the National Institutes of Health (NIH), Department of Defense, National Aeronautics and Space Administration (NASA), American Heart Association, and private research foundations totaling ∼$80 M in direct costs from the late 1980s to 2020. Collectively, the faculty and their laboratory personnel published ∼950 articles in peer-reviewed scientific journals. Over that period, 379 undergraduate students, 340 graduate students, 84 postdoctoral fellows, and dozens of junior research faculty received scientific training in Carlson, supported by >$21 M in extramural funding. What was accomplished by this handful of integrative physiologists speaks to the importance of the qualities of the investigators rather than their research facilities in determining scientific success.

A primer for quantum computing and its applications to healthcare and biomedical research.

OBJECTIVES: To introduce quantum computing technologies as a tool for biomedical research and highlight future applications within healthcare, focusing on its capabilities, benefits, and limitations. TARGET AUDIENCE: Investigators seeking to explore quantum computing and create quantum-based applications for healthcare and biomedical research. SCOPE: Quantum computing requires specialized hardware, known as quantum processing units, that use quantum bits (qubits) instead of classical bits to perform computations. This article will cover (1) proposed applications where quantum computing offers advantages to classical computing in biomedicine; (2) an introduction to how quantum computers operate, tailored for biomedical researchers; (3) recent progress that has expanded access to quantum computing; and (4) challenges, opportunities, and proposed solutions to integrate quantum computing in biomedical applications.

Do biobanks need pharmacists? Support of pharmacy students to biobanking of human biological material for pharmaceutical research and development.

Objectives: This study aimed to assess the biobank awareness among Polish pharmacy students and how it affects their support for biobank research. Methods: A survey among 366 pharmacy students enrolled at two Polish medical universities: the Poznan University of Medical Sciences and Medical University of Lublin was conducted. Results: Although most pharmacy students felt positivity about biobanking and expressed the willingness to donate their biospecimens for biomedical research, their awareness on research biobanks was low. Their willingness to participate was driven by the desire to benefit society, help advance science and develop new therapies. While students supported donation for most types of research, biobanks run by medical universities were the highest trusted research institutions. The primary factors associated with student's willingness to participate were religiosity and place of study. Notably, nonreligious students and those studying in Poznan exhibited more favourable attitudes toward donating for research and expressed greater support for the establishment of research biobanks in Poland. Conclusion: Since biobank awareness among future pharmacists is inadequate incorporating biobank competency domains into education and training of pharmacists is required.

Five aspects of research waste in biomedicine: A scoping review.

BACKGROUND: The number of published journal articles has grown exponentially during the last 30 years, which may have led to some wasteful research. However, the terminology associated with research waste remains unclear. To address this, we aimed to identify, define, and categorize the aspects of research waste in published biomedical reports. METHODS: In this scoping review, we systematically searched for biomedical literature reports from 1993 to 2023 in two databases, focusing on those addressing and defining research waste. Through data charting, we analyzed and categorized the aspects of research waste. RESULTS: Based on 4285 initial records in the searches, a total of 832 reports were included in the analysis. The included reports were primarily narrative reviews (26%) and original reports (21%). We categorized research waste into five aspects: methodological, invisible, negligible, underreported, and structural (MINUS) research waste. More than half of the reports (56%) covered methodological research waste concerning flaws in study design, study conduct, or analysis. Invisible research waste covered nonpublication, discontinuation, and lack of data-sharing. Negligible research waste primarily concerned unnecessary repetition, for example, stemming from the absence of preceding a trial with a systematic review of the literature. Underreported research waste mainly included poor reporting, resulting in a lack of transparency. Structural research waste comprised inadequate management, collaboration, prioritization, implementation, and dissemination. CONCLUSION: MINUS encapsulates the five main aspects of research waste. Recognizing these aspects of research waste is important for addressing and preventing further research waste and thereby ensuring efficient resource allocation and scientific integrity.

Strengthening healthcare delivery in Rwanda: Implementation science training for reproductive health researchers.

BACKGROUND: Addressing the gap between research and practice is crucial for enhancing reproductive healthcare outcomes. In Rwanda and other low- and middle-income countries, bolstering health researchers' implementation science (IS) capacity is essential. We present a pre-post-intervention study assessing the influence of an intensive IS training program on Rwandan reproductive health researchers' perceived IS knowledge and self-efficacy in applying IS in their own research. METHODS: To introduce IS principles, we held a one-day training for a diverse cohort of 25 sexual and reproductive health researchers in Rwanda. The training encompassed modules on IS concepts, methodologies, and practical applications. Pre- and post-training assessments gauged changes in participants' perceived IS knowledge and self-efficacy in applying IS in their own work. RESULTS: The study revealed a significant improvement in self-efficacy related to performing IS related tasks. Researchers reported heightened confidence in designing and implementing evidence-based interventions. In terms of perceived knowledge, participants retained what they learned at 4 months. The training fostered a collaborative learning environment, encouraging participants to exchange ideas and experiences. CONCLUSION: Targeted training in IS appears to enhance reproductive health researchers' capacity to translate research into practice, potentially leading to improved healthcare outcomes in Rwanda. Moving forward, we advocate for the Ministry of Health to establish structures for IS research agenda-setting, particularly for sexual and reproductive health and rights. Ideally, universities, health systems, and research institutions will incorporate IS capacity strengthening into their routine activities. Ongoing training is crucial to reinforce and expand IS knowledge. Our findings are expected to inform future interventions and guide policy development.

Impact of COVID-19 pandemic on physician-scientist trainees to faculty one year into the pandemic.

PURPOSE: Physician-scientists play a crucial role in advancing biomedical sciences. Proportionally fewer physicians are actively engaged in scientific pursuits, attributed to attrition in the training and retention pipeline. This national study evaluated the ongoing and longer-term impact of the COVID-19 pandemic on stress levels, research productivity, and optimism for physician-scientists at all levels of training. METHODS: A multi-institutional cross-sectional survey of medical students, graduate students, and residents/fellows/junior faculty (RFJF) was conducted from April to August 2021 to assess the impact of COVID-19 on individual stress, productivity, and optimism. Multivariate regression analyses were performed to identify associated variables and unsupervised variable clustering techniques were employed to identify highly correlated responses. RESULTS: A total 677 respondents completed the survey, representing different stages of physician-scientist training. Respondents report high levels of stress (medical students: 85%, graduate students: 63%, RFJF: 85%) attributed to impaired productivity concerns, concern about health of family and friends, impact on personal health and impairment in training or career development. Many cited impaired productivity (medical students: 65% graduate students: 79%, RFJF: 78%) associated with pandemic impacts on training, labs closures and loss of facility/resource access, and social isolation. Optimism levels were low (medical students: 37%, graduate students: 38% and RFJF: 39%) with females less likely to be optimistic and more likely to report concerns of long-term effects of COVID-19. Optimism about the future was correlated with not worrying about the long-term effects of COVID-19. Since the COVID-19 pandemic, all respondents reported increased prioritization of time with family/friends (67%) and personal health (62%) over career (25%) and research (24%). CONCLUSIONS: This national survey highlights the significant and protracted impact of the COVID-19 pandemic on stress levels, productivity, and optimism among physician-scientists and trainees. These findings underscore the urgent need for tailored support, including mental health, academic, and career development assistance for this biomedical workforce.