Medical Research Research Articles

Advancing preservation: plastination and deplastination of human osteochondral units for enhanced histological analyses in Education and Forensic Sciences

In the realm of medical education and research, the preservation of anatomical specimens has traditionally relied on formaldehyde-based fixatives, posing challenges such as loss of 3D orientation, unpleasant odor, and tissue alterations during extended storage. A more contemporary approach introduced in the late 20th century is plastination, which replaces water and fat with durable polymers, providing odorless and stable specimens for ultra-long-term storage. Despite the success of plastination, its impact on subsequent histopathological studies, particularly regarding special stains and immunohistochemistry (IHC), remains largely unexplored. This study delves into assessing the feasibility of staining deplastinated osteochondral units (OCU). Employing a comprehensive multi-step methodology involving fixation, decalcification, plastination, deplastination, paraffin embedding, and various staining protocols, the study meticulously evaluates tissue integrity and staining outcomes using human OCU. Significantly, the plastinated and deplastinated OCUs exhibit well-preserved tissue morphology in Hematoxylin and Eosin staining, successful glycosaminoglycan staining with Safranin O, and effective visualization of collagen types II and X through IHC analysis. A noteworthy observation is the potential to stain plastinated bone-containing specimens after deplastination, addressing the drawbacks of long-term tissue preservation using formalin. This innovation allows subsequent staining as needed, and the direct handling of plastinated specimens enhances three-dimensional visualization, rendering them valuable tools in forensic examinations. These findings open promising avenues for refining methodologies in medical education and forensic settings. The establishment of reliable staining and deplastination protocols holds the potential to significantly improve result accuracy and reproducibility, ultimately expanding applications in these critical fields.

Assessment of genetic diversity by multivariate analysis in Turkish Hawthorn (Crataegus azarolus) genetic resources

Abstract Due to its diverse climatic conditions, Türkiye provides a suitable environment for the cultivation of many fruit species. This study focused on natural hawthorn (Crataegus azarolus), one of these fruit species, to select 94 different hawthorn genotypes collected from natural populations in Türkiye and determine their molecular and morphological characteristics. A significant variation was observed among the hawthorn genotypes in terms of the analyzed traits. According to the results of the molecular study using the inter simple sequence repeat (ISSR) marker system, 178 polymorphic bands were obtained from 12 different primers (Invitrogen Life Technologies, USA), and the polymorphism rate was determined to be 100%. The similarity index for the genotypes ranged from 0.40 to 0.93, and the genotypes were completely differentiated from one another. In terms of fruit characteristics, there was considerable variation among the genotypes: fruit width ranged from 8.96 mm (genotype 72) to 29.75 mm (genotype 101), fruit length ranged from 9.19 mm (genotype 72) to 24.86 mm (genotype 101), and fruit weight ranged from 0.45 to 12.42 g. This study provides a foundation for developing hawthorn genotypes that will offer high productivity while conserving water and soil resources in arid and semi-arid regions by revealing the degree of genetic variation and the morphological characteristics of hawthorn genetic resources adapted to different ecological conditions in Türkiye. Furthermore, the study demonstrates that genotypes with superior traits can be utilized as genetic material in hawthorn breeding programs, medical research, and the development of new cultivars.

A place in the shade? Shaded spaces as a domain of geographical research: a literature review (1990–2024)

The study of shade and shaded spaces has attracted growing interest in a number of disciplines. Although geographic studies specifically focused on this subject are relatively rare, there is a substantial body of interdisciplinary research that addresses the theme of shade in relation to ecological, urban, medical and social research interests. There have recently been calls to further analyze these spaces, especially if we consider their importance in relation to climate change. In response to this, this paper aims to examine shade as a field of geographical research through a literature review. Ninety-four articles published in international journals between 1990 and 2024 were identified. The articles were analyzed with particular reference to the distribution in time of the publications, the geographic location of the case studies, interdisciplinary connections, research interests, and the methodologies used. The study reveals the interdisciplinary nature of shade studies and their growth in recent years. The literature analysis enables us to identify dominant research trends and at the same time highlight certain gaps. The study also emphasizes the value of shade as a resource, its many benefits, and its environmental and social significance as a geographical factor at various levels. In conclusion, this paper seeks to bring the topic of shade to the forefront of research, encouraging further empirical studies with a particular focus on the right to shade and climate change mitigation.

Living Lab Dementia: process evaluation of an academic-practice partnership in German long term care for people living with dementia - study protocol

BackgroundLiving Labs, as a type of academic-practice partnerships, possess the potential to transform care and research into a participatory partnership and narrow the research-practice gap to improve evidence-based and Person-centred care. Given the lack of systematic investigations of Living Labs in healthcare, we will establish a dementia-specific academic-practice partnership (Living Lab Dementia) in Germany and conduct a process evaluation. The aim of this study is to gain insights into the intervention itself (mechanisms of impact) and its implementation process (degree of implementation, barriers, and facilitators).MethodsThis process evaluation of the multi-center research project PraWiDem (German acronym for linking professional nursing practice and research in dementia) will be conducted applying a convergent mixed methods design and will be based on the Medical Research Council (MRC) framework for the development and evaluation of complex interventions. The intervention is presented in a logic model which describes relevant basic theoretical assumptions, intervention components, implementation aspects, mechanisms of impact, relevant outcomes, and the context in which the intervention is delivered. Data will be collected before the intervention (T0), during the intervention period, and at follow-up after 18 months (T1). Qualitative data will be collected through semi-structured interviews and focus groups. Quantitative data sources will be process documents and questionnaires.DiscussionOur study will provide important insights into the Living Lab Dementia intervention and its implementation processes. The results of this evaluation will contribute to the refinement of the intervention and its implementation processes, and will enable to measure the impact of these processes in future studies.

Antidepressants and risk of postural hypotension: a self-controlled case series study.

Background Antidepressants are associated with postural hypotension (PH), but it is not typically recognised as a common adverse effect. PH is linked with serious complications in older adults (e.g. falls, stroke, cognitive decline). Randomised Controlled Trials (RCTs) examining antidepressants often exclude older people and do not focus on adverse effects. Aim To examine risk of PH associated with antidepressants in adults aged ≥60 in UK primary care. Design & setting Self-controlled case series using routinely collected primary care data from the IQVIA Medical Research Database (IMRD). Method We obtained data from >41,000 adults aged ≥60 in IMRD between 1 Jan 2000 to 31 Dec 2018. Antidepressant prescriptions were determined using code lists based on British National Formulary classification. Risk of PH was examined during four risk-periods (90-days pre-prescription; day 1-28, 29-56, 57+) compared with periods outside these risk windows. Results Amongst 41,005 people with incident PH in the study period, 8,313 were prescribed a selective-serotonin reuptake inhibitor (SSRI); 8,899 were prescribed a tricyclic antidepressant (TCA); and 4,656 were prescribed an "Other antidepressant". We observed a consistent increased risk of PH in day 1-28 in all antidepressants, that reduced thereafter. Risk of PH was highest with SSRIs (IRR 4.22, 95% CI: 3.76-4.74), followed by "Other antidepressants" (IRR 2.17 (95% CI: 1.76- 2.68), TCAs (IRR 2.12, 95% CI: 1.79-2.50). Conclusion A striking increased risk of PH was observed with all antidepressants in the first month, particularly SSRIs. Prescribers should be aware of this risk and may consider PH monitoring when initiating antidepressants.

Building Public Health Quantitative Methods Capacity and Networks in sub-Saharan Africa: An Evaluation of a Faculty Training Program.

There is a shortage of individuals trained in using quantitative methods in biomedical research in sub-Saharan Africa (SSA). Improving public health in SSA requires new ways to promote quantitative knowledge and skills among faculty in biomedical research and better-integrated network systems of support. We describe the development, implementation, and evaluation of an innovative faculty training and support program in SSA from December 2017-June 2020, using courses in monitoring and evaluation, data management, and complex surveys as prototypical examples. Indicators were selected to follow the 4 levels outlined in the Kirkpatrick evaluation model: reaction, learning, behavior, and results. We used survey data from faculty fellows and students and reported median change and interquartile ranges (IQR). The training program created an international community of 26 faculty members working collaboratively to lead the training of 3 quantitative methods courses. The program increased faculty members' knowledge of the course content (median increase 17 percentage points [IQR: 0, 20]). Faculty members, in turn, trained 380 students at institutions of higher education in 8 SSA countries (Botswana, Ethiopia, Ghana, Nigeria, Rwanda, South Africa, Tanzania, and Uganda). The program relied on collaborative funding from participating institutions and focused on individual capacity-strengthening. In the future, the program will be scaled to include other emerging areas, such as data science, will integrate institutional support and feedback, and will move some of the training and mentoring activities to an online platform. Finally, to ensure that faculty have both improved confidence and improvement in competence, in future iterations, the program will include competency evaluation at the start and end and pair fellows who need additional training with those who excelled to co-teach.

“We don’t Get Drugs Targeted for Us:” Applying the Integrated Behavioral Model to Understand Why Black Women Chose to Participate in a Breast Cancer Clinical Trial

ABSTRACT Guided by the integrated behavioral model, the authors interviewed 14 Black breast cancer survivors (N = 14) who had participated in a breast cancer clinical trial. This study aimed to better understand what may motivate Black women to engage in medical research and decide to participate in medical research. Findings revealed that Black women’s altruistic desires to serve others and their communities are greatly influenced by the need to leave a “legacy” of better treatment for other Black women. The participants mostly learned about clinical trials through communicating with friends, family, or other breast cancer patients and survivors, rather than from their physicians. Many were influenced to participate by other Black breast cancer patients they knew, suggesting that social norms messaging may help alert other Black women about the continuing disparity in clinical trial participation. Finally, the participants in this study demonstrated high levels of involvement not only in seeking out clinical trials, but also in engaging in informed and shared decision-making with their providers about participating in the trials. The findings from this work illuminate important reasons Black women chose to participate in breast cancer clinical trials. Additionally, we offer robust and valuable theoretical and practical implications for researchers, so they can work toward successfully increasing Black women’s participation in clinical trials.

Speaking Out: Factors Influencing Black Americans' Engagement in COVID-19 Testing and Research.

Black communities in the United States (U.S.) have faced stark inequalities in COVID-19 outcomes. The underrepresentation of Black participants in COVID-19 testing research is detrimental to the understanding of the burden of the disease as well as the impact of risk factors for disease acquisition among Black Americans. Prior scholarship notes that the reluctance to engage in medical research among Black people is, in part, due to the exploitation and abuse this community has seen from the medical field and other social institutions. To better understand the barriers and motivations for COVID-19 testing among Black Americans, this study utilized intersectionality as methodological and theoretical frameworks to examine and investigate the barriers and motivations influencing participation in COVID-19 serosurveys (blood test and interview) among the metro-Atlanta Black communities. From May to October 2021, we took a community-based participatory research approach and conducted 52 semi-structured interviews to uncover different Black communities' feelings and opinions towards COVID-19 testing. Key reasons participants agreed to the blood test include (1) curiosity; (2) health upkeep; (3) family/community/social responsibility; and (4) importance of research. Participants' reasons for rejecting the blood test were (1) unnecessary/no benefit; (2) fear (of the known and unknown); (3) fear of needles and/or blood; and (4) discomfort with test setting/procedure. Our findings show that perspectives on willingness to engagement in testing or to not participate varied across gender and age for Black individuals.

System- and sample-agnostic isotropic three-dimensional microscopy by weakly physics-informed, domain-shift-resistant axial deblurring

Three-dimensional subcellular imaging is essential for biomedical research, but the diffraction limit of optical microscopy compromises axial resolution, hindering accurate three-dimensional structural analysis. This challenge is particularly pronounced in label-free imaging of thick, heterogeneous tissues, where assumptions about data distribution (e.g. sparsity, label-specific distribution, and lateral-axial similarity) and system priors (e.g. independent and identically distributed noise and linear shift-invariant point-spread functions are often invalid. Here, we introduce SSAI-3D, a weakly physics-informed, domain-shift-resistant framework for robust isotropic three-dimensional imaging. SSAI-3D enables robust axial deblurring by generating a diverse, noise-resilient, sample-informed training dataset and sparsely fine-tuning a large pre-trained blind deblurring network. SSAI-3D is applied to label-free nonlinear imaging of living organoids, freshly excised human endometrium tissue, and mouse whisker pads, and further validated in publicly available ground-truth-paired experimental datasets of three-dimensional heterogeneous biological tissues with unknown blurring and noise across different microscopy systems.

Molecular Mechanism for the Unprecedented Metal-Independent Hydroxyl Radical Production from Thioureas and H2O2.

The most well-known hydroxyl radical (•OH)-generating system is the classic iron-mediated Fenton reaction. Thiourea has been considered as an efficient •OH scavenger and is frequently used to study the role of •OH in various biochemical and medical research studies. Here we found that the highly reactive •OH can be produced from thiourea and H2O2 through a metal-independent pathway, as measured by electron spin resonance (ESR) secondary radical spin-trapping and fluorescent methods. The major reaction intermediates from thiourea/H2O2 were identified as formamidinesulfenic acid and formamidinesulfinic acid, with urea and sulfate as the major final products. Taken together, the underlying molecular mechanism for the unprecedented •OH production from thiourea/H2O2 was proposed: thiourea is initially attacked by H2O2 to produce the transient intermediates formamidinesulfenic acid and then formamidinesulfinic acid, which further react with H2O2 to produce their corresponding hydroperoxyl intermediates, which can decompose homolytically to generate •OH and the final products. Analogous •OH production and oxidative DNA damage were also observed with other thiourea derivatives and H2O2. This is the first report on metal-independent •OH production from the well-known •OH scavenging thioureas and H2O2, which may have important biochemical, environmental, and medical implications for future study of thiourea compounds.

Effect of trimetazidine on left ventricular functions and cardiac biomarkers in diabetic patients with left ventricular diastolic dysfunction: a randomized controlled trial

We investigated the impact of trimetazidine treatment on left ventricular (LV) functions and cardiac biomarkers in diabetic patients with diastolic dysfunction as an early stage of diabetic cardiomyopathy. Sixty-three patients were randomly assigned to receive either trimetazidine or a placebo for 3 months. At baseline and after 3-months of treatment, measurements of serum levels of glycemic control parameters, lipid profile, tumor necrosis factor alpha, transforming growth factor beta 1, n-terminal pro brain natriuretic peptide and assessment of modified Medical Research Council (mMRC) dyspnea score, echocardiographic indices of LV functions and LV global longitudinal strain (GLS) were performed. After 3-months, trimetazidine group exhibited a significant reduction in left atrial volume index by 6.99% versus an increase by 0.66% in placebo group, p = 0.034. Moreover, average e’ increased by a significantly higher percentage in trimetazidine versus placebo group (8.46 ± 18.64 vs. -2.49 ± 14.52, respectively. p = 0.015). Trimetazidine treatment resulted in a significant increase in LVGLS by 6.66% versus LVGLS reduction by 2.79% in placebo group (p = 0.004). Trimetazidine group had a significantly lower median mMRC dyspnea score compared to placebo (0 vs. 1, respectively, p = 0.015) and a significantly lower low-density lipoprotein (LDL-C) (103.43 ± 28.31 vs. 125.34 ± 45.27, respectively, p = 0.032). There was no significant difference between both groups in levels of other biomarkers. Three-months treatment with trimetazidine improved diastolic function parameters, LVGLS, dyspnea severity and LDL-C levels in diabetic patients with diastolic dysfunction.

Development and evaluation of an intervention designed to increase the prioritisation of health by professionals working in the private sector of urban development: study protocol

ABSTRACT The built environment is known to have a significant influence on population and planetary health, including the incidence of non-communicable disease, but evidence suggests that professionals in the land and development industries struggle to prioritise health and health equity when making urban development decisions amidst challenging structures and competing priorities. The aim of this study is to use a mixed-methods approach to develop, deliver, optimise, and evaluate an intervention for professionals working in the private sector of urban development to increase their intention to act on health and health equity where possible. This protocol describes four planned research activities that constitute this intervention’s development, delivery, and evaluation: 1) Intervention development using an iterative co-production process with non-academic industry partners using the Person-Based Approach and following Medical Research Council guidelines on the development of complex interventions; 2) Development of survey questions to assess intervention effectiveness; 3) Delivery and mixed-methods longitudinal evaluation of the intervention; and 4) Evaluation of the impact of co-production and delivery of the intervention with the project’s industry partners.

Medical Problems of Chronic Hypoxia in Highlanders Living on the Tibetan Plateau.

Ri-Li Ge. Medical problems of chronic hypoxia in highlanders living on the tibetan plateau. High Alt Med Biol. 00:00-00, 2024.-Health issues at high altitudes arise due to the lower atmospheric pressure and subsequent reduction in the partial pressure of oxygen in ambient air. While much research has been published on health problems of lowlanders who move to high altitudes, less is known about the medical challenges faced by long-term and permanent high-altitude residents, especially in the Qinghai-Tibetan plateau. In this review, we briefly summarized the chronic hypoxia-related health issues in highlanders, focusing on the specific population of the Qinghai-Tibetan plateau. It deals with important health problems for highlanders, including the main disease categories, from chronic mountain sicknesses and pulmonary hypertension (PH) to kidney, neurocognitive impairments, perinatal problems, and congenital heart defect. However, the most hallmark of disorders is excessive erythrocytosis associated with specific symptoms and signs, and high-altitude heart disease is characterized by excessive PH, right ventricular hypertrophy, and right heart failure. We also provide information on potential treatment strategies, including some traditional Tibetan medical practices and also a combination of Western medicine and traditional Chinese medicine to prevent and treat these conditions effectively. This mini-review is heavily based on a couple of decades of research carried out by Chinese high-altitude medical research groups at the Qinghai-Tibetan Plateau. We believe that this review will provide valuable perspective to researchers whose study interest and base lie in high altitude.

Balancing innovation: the role of paradoxical leadership and ambidexterity in fostering team creativity

Purpose This study, grounded in ambidexterity theory, aims to investigate how paradoxical leadership (PXL) fosters team creativity in high-tech manufacturing companies, with team ambidexterity as a mediator and leader vision as a moderator. Given the fast-paced, innovation-driven demands of the high-tech sector, this research provides insights into how managers can effectively balance contradictory behaviors to drive team innovation. Design/methodology/approach Data was collected through a two-wave survey from team leaders and members across 169 teams in high-tech manufacturing companies. The time interval between data collection waves was two weeks. The data was aggregated at the team level using estimates for interrater reliability and interrater agreement. The structural equation modeling in R was used to test hypotheses. Findings The findings indicate that PXL positively impacts team creativity directly and through its influence on team ambidexterity. Team ambidexterity mediates the relationship between PXL and team creativity, while leader vision moderates the effects of PXL on team ambidexterity. Practical implications PXL benefits high-performance teams in technology sectors, such as software development, where rapid innovation and iterative processes are essential. In health care, PXL can optimize team dynamics, enabling medical research and patient care delivery breakthroughs. Regular training in ambidextrous thinking and feedback mechanisms makes this approach actionable for managers striving to cultivate creativity in high-stakes environments. Originality/value This study extends ambidexterity theory by linking PXL and team ambidexterity to team creativity. It provides high-tech manufacturing managers with concrete strategies to balance exploration and exploitation. These findings highlight actionable pathways for companies to sustain innovation in competitive, technology-driven industries.

Navigating ethics in HIV data and biomaterial management within Black, African, and Caribbean communities in Canada

BackgroundThis study explored the ethical issues associated with community-based HIV testing among African, Caribbean, and Black (ACB) populations in Canada, focusing on their perceptions of consent, privacy, and the management of HIV-related data and bio-samples.MethodsA qualitative community-based participatory research (CBPR) approach was employed to actively engage ACB community members in shaping the research process. The design included in-depth qualitative interviews with 33 ACB community members in Manitoba, Canada. The study was guided by a Community Guiding Circle, which contributed to study design, data analysis, and interpretation. A diverse sample was recruited through community agencies, social media, and flyers, with considerations for variations in age, gender, sexual orientation, and geographical location. The study employed iterative inductive thematic data analysis.FindingsParticipants expressed significant concerns about the collection, sharing, and use of HIV data from healthcare encounters, revealing mistrust towards institutions like police, child welfare, and immigration accessing their health information. Their worries centered on the handling of biological samples, data misuse, potential human rights violations, HIV criminalization, deportations, challenging consent, privacy, and bodily autonomy principles. While open to contributing to medical research, they unanimously demanded greater transparency, informed consent, and control over the secondary use of their health data.ConclusionsThe study underscores the need for culturally safe approaches in HIV testing and ethical governance in healthcare for ACB communities. It highlights the importance of prioritizing participant empowerment, ensuring transparency, practicing informed consent, and implementing robust data security measures to balance effective HIV information management with the protection of individual rights.

Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative Efficiency

Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance patient care, personalize treatment options, train healthcare professionals, and advance medical research. This paper examines various clinical and non-clinical applications of Gen AI. In clinical settings, Gen AI supports the creation of customized treatment plans, generation of synthetic data, analysis of medical images, nursing workflow management, risk prediction, pandemic preparedness, and population health management. By automating administrative tasks such as medical documentations, Gen AI has the potential to reduce clinician burnout, freeing more time for direct patient care. Furthermore, application of Gen AI may enhance surgical outcomes by providing real-time feedback and automation of certain tasks in operating rooms. The generation of synthetic data opens new avenues for model training for diseases and simulation, enhancing research capabilities and improving predictive accuracy. In non-clinical contexts, Gen AI improves medical education, public relations, revenue cycle management, healthcare marketing etc. Its capacity for continuous learning and adaptation enables it to drive ongoing improvements in clinical and operational efficiencies, making healthcare delivery more proactive, predictive, and precise.

Evolution of artificial intelligence in healthcare: a 30-year bibliometric study

IntroductionIn recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.MethodsFollowing a search on the Web of Science, researchers retrieved all reviews and original articles concerning artificial intelligence in healthcare published between January 1993 and December 2023. The analysis employed Bibliometrix, Biblioshiny, and Microsoft Excel, incorporating the bibliometrix R package for data mining and analysis, and visualized the observed trends in bibliometrics.ResultsA total of 22,950 documents were collected in this study. From 1993 to 2023, there was a discernible upward trajectory in scientific output within bibliometrics. The United States and China emerged as primary contributors to medical artificial intelligence research, with Harvard University leading in publication volume among institutions. Notably, the rapid expansion of emerging topics such as COVID-19 and new drug discovery in recent years is noteworthy. Furthermore, the top five most cited papers in 2023 were all pertinent to the theme of ChatGPT.ConclusionThis study reveals a sustained explosive growth trend in AI technologies within the healthcare sector in recent years, with increasingly profound applications in medicine. Additionally, medical artificial intelligence research is dynamically evolving with the advent of new technologies. Moving forward, concerted efforts to bolster international collaboration and enhance comprehension and utilization of AI technologies are imperative for fostering novel innovations in healthcare.

Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study.

Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used. We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU). AOU is an ongoing national, multiyear study aimed to build a research cohort of 1 million participants that reflects the diversity of the United States, including minority, health-disparate, and other populations underrepresented in biomedical research (UBR). We collaborated with community members, health care provider organizations (HPOs), and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate multisite, hybrid, and remote study participation and multimodal data collection in AOU. Participants were recruited by in-person, print, and online digital campaigns. Participants securely accessed the DHRP via web and mobile apps, either independently or with research staff support. The participant-facing tool facilitated electronic informed consent (eConsent), multisource data collection (eg, surveys, genomic results, wearables, and electronic health records [EHRs]), and ongoing participant engagement. We also built tools for research staff to conduct remote participant support, study workflow management, participant tracking, data analytics, data harmonization, and data management. We built a secure, participant-centric DHRP with engaging functionality used to recruit, engage, and collect data from 705,719 diverse participants throughout the United States. As of April 2024, 87% (n=613,976) of the participants enrolled via the platform were from UBR groups, including racial and ethnic minorities (n=282,429, 46%), rural dwelling individuals (n=49,118, 8%), those over the age of 65 years (n=190,333, 31%), and individuals with low socioeconomic status (n=122,795, 20%). We built a participant-centric digital platform with tools to enable engagement with individuals from different racial, ethnic, and socioeconomic backgrounds and other UBR groups. This DHRP demonstrated successful use among diverse participants. These findings could be used as best practices for the effective use of digital platforms to build and sustain cohorts of various study designs and increase engagement with diverse populations in health research.

Machine learning-based risk assessment of gene editing: degeneration during gene editing possibility of target effect

CRISPI-Cas 9 technology is currently the most popular gene editing tool, which has been used in biomedical research and clinical treatment, but it also has the problem of off-target effects that cause unexpected gene mutations, which limits its safety and efficacy. Now, various machine learning models have been trained to predict off-target events in order to: Gene editing is more precise. In terms of both accuracy and interpretability there are still issues in the existing models. This paper has focused on reviewing Machine learning archery Off Target Prediction models and their performance. The results of this study show that the deep learning model has high accuracy and interpretability in the prediction of off-target events, which provides a reference for the optimization of gene editing strategies. The results reveal that there is a lot of room for development of deep learning technology in improving the safety of gene editing, which provides an in-depth reference for the sustainable development of gene editing technology. The application of this study to this paper also has its limitations, including the inadequacy of the applicability of the model in multiple gene editing contexts. In the future research of gene editing, more attention can be paid to the study of new biological indicators, the establishment of more accurate prediction models, and the improvement of models with more explanatory interpretation, so as to more safely apply gene editing technology in clinical and agricultural treatment and improvement.

IP-to-MS: An Unbiased Workflow for Antigen Profiling.

Immunoprecipitation is among the most widely utilized methods in biomedical research, with applications that include the identification of antibody targets and associated proteins. The path to identifying these targets is not straightforward, however, and often requires the use of chemical cross-linking and/or gel electrophoresis to separate targets from an overabundance of immunoglobulin protein. Such experiments are labor intensive and often yield long lists of candidate antibody targets. Here, we describe an unbiased immunoprecipitation-to-mass spectrometry (IP-to-MS) method that relies on a novel protein tag to separate low abundance immunoprecipitated proteins from overwhelmingly abundant immunoglobulins. We demonstrate that the IP-to-MS serotyping workflow is highly reproducible and can be used for the identification of novel, patient-specific antigen targets in multiple disease states. Furthermore, we show that IP-to-MS may outperform conventional methods of antibody detection, including enzyme-linked immunosorbent assay, while also enabling patient stratification beyond what is possible with traditional approaches.