Biomedical Sciences Research Articles

A scoping review on health literacy in parental educational practices: What do we know about it?

PurposeThis study aims to synthesize evidence on health literacy assessment in parental educational practices of parents/caregivers of newborns from 0 to 13 months old.Design/methodology/approachA scoping review. We synthesized qualitative and quantitative research according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Database selection was based on specific content coverage of peer-reviewed articles in the biomedical and life sciences (PubMed) and health sciences and education (Scopus). We included articles complete original articles in English and/or Portuguese from peer-reviewed indexed journals whose reporting of evidence was in line with the objectives of this study: studies with parents and caregivers of newborns from 0 to 13 months old. Two independent reviewers extracted data and inconsistencies were resolved in a discussion between them and the third reviewer.FindingsA total of 345 articles were recruited, and 342 were excluded. The most studied age group was 2 months old. Regarding geographic location, most studies were carried out in the USA. All articles were published after the year 2010 and carried out only with fathers and mothers, excluding other caregivers (e.g. relatives and professionals).Research limitations/implications Only one instrument is focused on health literacy in parental educational practices.Originality/valueWe observe that this is a little-researched theme. All caregivers of young children face important barriers to understanding and implementing basic child health tasks (e.g. providing adequate nutrition, safety and medication).

A mixed method study investigating the key translational competencies acquired during a challenge-based course

BackgroundThe translational domain is a complex subfield of the biomedical life sciences focused on bridging the gap between scientific research and clinical application, with the ultimate goal of improving patient care through healthcare innovations. Professionals in this field, ranging from researchers to clinicians and industry experts, require specific core competencies. These include communication, collaboration, boundary crossing, innovation, and the ability to integrate diverse scientific domains.MethodsWe investigated the translational competencies acquired most by life science students who participated in a six-month challenge-based course at a Dutch graduate school. Seventeen students were part of the 2021 cohort, supervised by five biomedical experts serving as their clients. Quantitative and qualitative student survey data (n = 10), and semi-structured expert interview data (n = 4) were collected after completion of the course in 2021. Two existing translational competency frameworks were used to categorize and rank the acquired competencies, highlighting those most developed and relevant during the translational challenge-based course.ResultsCommunication was the most listed competency category by both students and experts, and a new competency category was identified named Self-Development Tools, which included competencies related to decision-making, reflection, feedback, and creative thinking. Student data also showed that the course influenced their choice in pursuing a translational career path.ConclusionsThis study provides insight into key translational competencies acquired by students during a six-month challenge-based course and insight into competencies that may be part of their continued education after graduation from both student and expert perspectives. These findings are relevant for both educators and prospective employers in the translational domain as they apply a novel ranking to the existing literature on translational competencies and elaborate on how to prepare life sciences graduates towards a translational career.

Frailty and Mortality Risk Among Dogs with Extreme Longevity: Development and Predictive Validity of a Clinical Frailty Index in the Exceptional Aging in Rottweilers Study

Frailty refers to a state of increased vulnerability to mortality and other adverse outcomes as a consequence of age-related decline in physiologic reserve and function. Comparative biomedical scientists are relied upon to innovate approaches to enhance understanding of the similarities and differences between humans and other animal species that can impact healthy aging. The research aim of this study was to develop a clinical frailty index (FI) in the Exceptional Aging in Rottweilers Study (EARS) and test its ability to predict all-cause mortality in elderly dogs. EARS is an ongoing lifetime cohort study of pet dogs with extreme longevity living in North America. Living 30% longer than the breed average, these dogs represent the canine counterpart to human centenarians. A 34-item FI (EARS-FI) was constructed to assess deficit accumulation using clinical data collected by telephone interviews with owners of 93 dogs with extreme longevity. Health deficits across multiple domains, including cognitive and sensory, cardiovascular and endocrine, and mobility, were included. The association between EARS-FI and subsequent mortality was tested in Kaplan-Meier survival analysis and in age-adjusted Cox proportional hazard models. Median (interquartile range) EARS-FI was 0.43 (0.38–0.50), and the estimated frailty limit was 0.68, consistent with data reported in humans with extreme longevity. Frailty index increased with increasing chronological age (p < 0.001). Deficit accumulation was significantly associated with increased mortality risk. Age-adjusted hazard ratio for mortality per 0.01 unit increase in FI was 1.05 (95%CI, 1.02–1.08; p = 0.001). This work provides the first demonstration of a strong association between frailty and mortality risk in pet dogs with extreme longevity. Notably, EARS-FI showed key features observed in the evaluation of frailty in aging human populations: heterogeneity, increase with chronological age, and estimated limit of <0.7. Validated here as a predictor of mortality in aged pet dogs, EARS-FI offers a useful tool for further comparative analyses of the linkages between deficit accumulation, mortality, and other adverse health outcomes.

Global mobility of the recent STEM postdoctoral workforce registered in ORCID

Abstract Postdoctoral researchers contribute to scientific, technological, and societal innovations under the supervision of academic faculty and domain experts. Their international movements facilitate the advancement and diffusion of knowledge and thus are important for research and development. To understand postdoctoral mobility at a global scale, this paper analyzes self-reported career trajectories of postdoctoral researchers by leveraging Open Researcher and Contributor ID (ORCID), focusing on five STEM fields: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Engineering, and Physical Sciences. The U.S. and European countries are major destinations for the first postdoctoral position across the selected fields, and three Asian countries – China, Japan, and the Republic of Korea – also attract postdoctoral researchers in Chemical Sciences and Engineering. Gender differences are observed for some specific cases mainly due to the tendency that female postdoctoral researchers are more likely to stay in a single country or less likely to move to the U.S. for the second postdoctoral position compared to male postdoctoral researchers. The results would be leveraged to design science and technology policies for postdoctoral researchers in consideration of additional factors, such as culture and language. Peer Review https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00341

Model of Our Trial: A Construct from the Systematic Review in the Glorious Qur’an, Sunnah and Published Articles in Biomedical Sciences

All over the world, values of people are increasingly deteriorating due to the modern life systems caused by ongoing advancement of science and technologies. This systematic study was conducted to analyze the nature of our trial by integrating the exposition of the Qur'an, Ahadith, and signs of Allah (S.W.T) in ourselves revealed to us through biomedical sciences. Data were collected from Qur’an and six canonical books of ahadith collection of Ahlu Sunna Waljama'a and published studies screened from MEDLINE, EMBASE & SCOPUS. Qur’anic data were analyzed by Thematic Approach [Uslub Tafsir Al-Maudhu’i] and Synoptic Approach [Uslub Tafsir Ijmali]. The findings show that our trial is governed by four things: ruh, heart, ears, and eyes. The ruh is an agent with heavenly origin installed with a desire to remember Allah (S.W.T); while the heart, ears, and eyes have an earthly origin, created from dust and water. However, despite its earthly origin, the heart is a controlling center of our trial; because it occupies the midst position; connecting in terms of communication, between the ruh and body. The ruh stress its desire to the body via the heart, and the information about the words and deeds of the body are communicated to the ruh via the heart; while the main gates of information to the heart are ears and eyes. The quality of the ruh will depend on quantity and quality of the information sent to the heart. These findings may add value to the existing efforts of dealing with moral deterioration.

N.A. Vigdorchik — is the founder of the Leningrad scientific school of occupational pathology, an outstanding scientist, teacher and public figure (on the 150th anniversary of his birth)

November 17, 2024 marked the 150th anniversary of the birth of Nikolai (Nathan) Abramovich Vigdorchik, one of the founders of occupational health, the creator of the country's first department of occupational diseases and a research institute for their study in Leningrad. N.A. Vigdorchik is an iconic figure in Russian occupational pathology. The formation of occupational health as an independent discipline is associated with his name. The biography, creative and scientific path of this man are closely intertwined with the dramatic events of the historical era of the late nineteenth and early twentieth centuries, in which the pioneer scientist lived and worked. Professor Vigdorchik can rightfully be attributed to those outstanding Russian medical scientists who actively contributed to the progressive formation and development of Russian medical science and practice in the first half of the twentieth century. His multifaceted scientific, pedagogical, therapeutic and social activities had a wide resonance, including at the state level. Thanks to his talent and vast practical experience, N.A. Vigdorchik had the ability to notice in time the shifts in medicine, economics, politics, and the social sphere taking place in our country and abroad, give them a qualified assessment and outline ways to solve topical issues, primarily in the field in which he was an outstanding specialist — occupational health and social insurance. Vigdorchik belongs to that rare breed of specialists who are commonly called encyclopedists. According to the recollections of colleagues, in addition to his brilliant abilities, he possessed excellent human qualities. In the articles devoted to the life and work of this extraordinary man (especially in connection with the 140th anniversary), N.A. Vigdorchik's contribution to Russian science and practice is analyzed in sufficient detail. At the same time, the scale of this personality is such that not all facets of his talent are reflected in literature. In this article, the author tried to focus on information that is little known to a wide range of readers, on issues where the role and importance of professor Vigdorchik are very significant, but, in our opinion, are not fully appreciated by contemporaries.

Advances in polysaccharide-based materials for biomedical and pharmaceutical applications: A comprehensive review.

Polysaccharides, the most abundant biopolymers in nature, have attracted the attention of researchers and clinicians due to its practicality in biomedical and pharmaceutical sciences. These biomaterials have high bioavailability and play structural and functional roles in living organisms. Polysaccharides are classified into several groups based on their origin, including plant polysaccharides and marine polysaccharides (like chitosan, hyaluronic acid, dextran, alginates, etc.) with specific applications. These biopolymers possess unique physicochemical (such as surface functional groups, solubility, and stability), mechanical (like mechanical strength and tensile), and biomedical (such as antioxidant activity, biocompatibility, biodegradability, renewability, and non-immunogenicity) characteristics which have made them excellent platforms for a wide variety of biomedical and pharmaceutical applications. Ease of extraction and different preparation approaches are mentioned as other potential properties of polysaccharides that further improved their practicality in biomedical sciences. They have high drug/bioactive encapsulation capacity and sustained/controlled release manner in in vivo microenvironments. The anti-inflammatory and immunomodulation, stimuli-responsive drug/bioactive release, and passive and active drug/bioactive delivery are considered the potential features of these biopolymers in pharmaceutical sciences. Polysaccharides have indicated practical applications in biomedical sciences, including biosensors, tissue engineering, implantation, wound healing, vascular grafting, and vaccines. This review highlights the advances of polysaccharide-based materials in biomedical and pharmaceutical sciences.

Prediction of cyanotic and acyanotic congenital heart disease using machine learning models.

Congenital heart disease is most commonly seen in neonates and it is a major cause of pediatric illness and childhood morbidity and mortality. To identify and build the best predictive model for predicting cyanotic and acyanotic congenital heart disease in children during pregnancy and identify their potential risk factors. The data were collected from the Pediatric Cardiology Department at Chaudhry Pervaiz Elahi Institute of Cardiology Multan, Pakistan from December 2017 to October 2019. A sample of 3900 mothers whose children were diagnosed with cyanotic or acyanotic congenital heart disease was taken. Multivariate outlier detection methods were used to identify the potential outliers. Different machine learning models were compared, and the best-fitted model was selected using the area under the curve, sensitivity, and specificity of the models. Out of 3900 patients included, about 69.5% had acyanotic and 30.5% had cyanotic congenital heart disease. Males had more cases of acyanotic (53.6%) and cyanotic (54.5%) congenital heart disease as compared to females. The odds of having cyanotic was 1.28 times higher for children whose mothers used more fast food frequently during pregnancy. The artificial neural network model was selected as the best predictive model with an area under the curve of 0.9012, sensitivity of 65.76%, and specificity of 97.23%. Children having a positive family history are at very high risk of having cyanotic and acyanotic congenital heart disease. Males are more at risk and their mothers need more care, good food, and physical activity during pregnancy. The best-fitted model for predicting cyanotic and acyanotic congenital heart disease is the artificial neural network. The results obtained and the best model identified will be useful for medical practitioners and public health scientists for an informed decision-making process about the earlier diagnosis and improve the health condition of children in Pakistan.

Effect of interstitial nitrogen on physical and mechanical properties of Al0.5CoCrNi high-entropy alloys: a first-principles study

Abstract The N-doped high entropy alloys (HEAs) have recently garnered significant interest for their outstanding mechanical properties, making them valuable structural materials within the industry, aerospace, and biomedical science. In this work, the impact of interstitial N atom on various properties of Al0.5CoCrNi HEA is investigated through first-principle calculations. Specifically, the changes in lattice constant, formation energy, elastic modulus, density of states, Vickers hardness, Debye temperature, energy factor, and charge density caused by the presence of interstitial N atom are analyzed. The results show that the interstitial N atoms lead to a decrease of the sample stability due to an increasing formation energy of the N-doped HEA. As the interstitial N content increases, the elastic module decreases, and an apparent anisotropy appears in N-doped HEA. Moreover, Vickers hardness decreases, suggesting the change of the stiffness and deformation characteristics. Compared to the N-doped tetrahedrons, the N-doped octahedrons exhibit high ductility due to an increasing Poisson’s ratio, a decreasing G/B ratio, and an increasing Cauchy pressure. The significant decreasing Debye temperature and average sound velocity reduces the thermal stability. The change of the electronic structure suggests the possibility for customizing electronic and optical properties. Additionally, the low energy factors for screw and edge dislocations promote dislocation nucleation in N-doped HEA. Charge density analysis reveals strong bonding characteristics, potentially affecting the chemical stability and reactivity. This work provides a unique perspective on the N-doped mechanical mechanism, and offers important insights for the advancement of advanced N-doped HEA.

Comprehensive Exploration of Biomedical Science in Transforming Global Health

Biomedical science has supervised tremendous changes in what the world considers health and how diseases are prevented, diagnosed, and treated. From the discovery of vaccines and diagnostic aids to innovations in genetics and genomic personalized medicine, spot the discipline as a key determinant of advancing the delivery and models of health Systems globally. This paper aims to review the effect of biomedical science on global health with a focus on retrospect and prospects of diseases, health, and crises. Thus, relying on up-to-date research, cases, and world health studies, the work reveals successes and failures. As for recommendations, they are to encourage innovation, extend the usage of biomedical technologies and involve individuals and disciplines expecting to make a positive change in the coming years that is stable and effective.Biomedical Science

Cell membrane fusion composite lipid nanocarrier: preparation and evaluation of anti-tumor effects.

With the advancements in nanotechnology and biomaterials science, the development of nanodrug delivery systems (Nano-DDSs) has provided opportunities for the realization of precise targeted treatment of malignant tumors. Liposomes have become a type of DDS with early clinical application and mature development due to their excellent tissue-targeting capacity and outstanding biocompatibility. However, several obstacles remain, such as recognition and clearance by the immune system, a short half-life, and poor tumor targeting. To address these problems, we propose a new method to transform liposomes, using fusion to reassemble the extracted natural cell membranes and artificial phospholipids to form a composite nanolipid carrier (recombined lipid nanocarriers (RLNs)). We evaluated the different types of cell membrane composite lipid nanocarriers based on parameters such as particle size, stability, drug loading and release capabilities, in vitro and in vivo tumor-targeting efficacy, and safety. The results indicated that these novel tumor cell-derived membrane fusion lipid nanocarriers exhibited promising antitumor effects and safety profiles, offering insights for precision cancer treatment.

CNS-CLIP: Transforming a Neurosurgical Journal Into a Multimodal Medical Model.

Classical biomedical data science models are trained on a single modality and aimed at one specific task. However, the exponential increase in the size and capabilities of the foundation models inside and outside medicine shows a shift toward task-agnostic models using large-scale, often internet-based, data. Recent research into smaller foundation models trained on specific literature, such as programming textbooks, demonstrated that they can display capabilities similar to or superior to large generalist models, suggesting a potential middle ground between small task-specific and large foundation models. This study attempts to introduce a domain-specific multimodal model, Congress of Neurological Surgeons (CNS)-Contrastive Language-Image Pretraining (CLIP), developed for neurosurgical applications, leveraging data exclusively from Neurosurgery Publications. We constructed a multimodal data set of articles from Neurosurgery Publications through PDF data collection and figure-caption extraction using an artificial intelligence pipeline for quality control. Our final data set included 24 021 figure-caption pairs. We then developed a fine-tuning protocol for the OpenAI CLIP model. The model was evaluated on tasks including neurosurgical information retrieval, computed tomography imaging classification, and zero-shot ImageNet classification. CNS-CLIP demonstrated superior performance in neurosurgical information retrieval with a Top-1 accuracy of 24.56%, compared with 8.61% for the baseline. The average area under receiver operating characteristic across 6 neuroradiology tasks achieved by CNS-CLIP was 0.95, slightly superior to OpenAI's Contrastive Language-Image Pretraining at 0.94 and significantly outperforming a vanilla vision transformer at 0.62. In generalist classification, CNS-CLIP reached a Top-1 accuracy of 47.55%, a decrease from the baseline of 52.37%, demonstrating a catastrophic forgetting phenomenon. This study presents a pioneering effort in building a domain-specific multimodal model using data from a medical society publication. The results indicate that domain-specific models, while less globally versatile, can offer advantages in specialized contexts. This emphasizes the importance of using tailored data and domain-focused development in training foundation models in neurosurgery and general medicine.

Understanding Cardiovascular Health and Lifestyle Choices Among Healthcare Professionals in Medically Underserved Regions in Illinois.

This study assesses the prevalence of cardiovascular risk factors, such as diabetes, obesity, high blood pressure, and stress, as related to healthy lifestyle behaviors among healthcare professionals (HCPs), including medical doctors, nurses, pharmacists, laboratory scientists, and radiologists, in medically underserved regions (MURs). Using a cross-sectional study design, an online survey was administered to HCPs in MURs of West Central Illinois. A total of 316 HCPs completed the survey. The study population was predominantly White, female, and aged 55 or older. The findings of this research imply that HCPs in medically underserved regions (MURs) with high cholesterol generally do not engage in physical activity. The study showed a correlation between HCP age, high blood pressure, Type 2 diabetes, and high cholesterol, implying that as HCPs age like every other individual, the likelihood of developing these conditions increases. This study emphasizes the role of time constraints and a lack of motivation in limiting HCPs' participation in physical activity in rural areas. Additionally, the study suggests that inadequate access to nutritious food and exercise facilities in rural regions contributes to lower rates of healthy eating and physical activity. Findings demonstrate how essential it is for healthcare professionals to remain vigilant about cardiovascular disease risk factors.

Statistical variable selection and causality in the social and behavioral sciences

AbstractThe problem of “variable selection” is a fundamental one across the sciences. In its broadest terms, this problem would be at least part of the general issue of theory selection and comparison. However, there is a more circumscribed problem that concerns primarily the choice of variables for the best fitting model, given some set of data, usually observational in nature, and specific statistical techniques, typically multiple regression. There is a deep strand in econometrics and other applied social, behavioral, and biomedical science statistics to want formal decision rules or algorithms to pick out variables. The paper examines seven such formal procedures using a simulated data set with known causal relations. The conclusion is that seven often-used procedures make systematic causal errors. Some suggestions about better alternatives conclude.

3D printing in surgery: relevance of technology maturity assessment in bioprinting research studies

Biological 3D printing (bioprinting) is an extension of what is defined as additive manufacturing in the American Society for Testing and Materials (ASTM) and International Organization for Standardization (ISO) standards and is based on the automated printing of living cells and biomaterials. Researchers and experts in the field of biomaterial science, tissue engineering and regenerative medicine (TE&RM) are constantly pointing to the potential of biological 3D printing and scientific articles regularly announce the imminent clinical application. We argue in this article that these announcements are often premature and counterproductive as they focus heavily on technological progress but regularly ignore the critical stages that need to be completed in order to successfully translate atechnology into the healthcare market. The technology readiness level (TRL) scale is apotentially useful tool for measuring the relative maturity of atechnology in terms of overcoming aseries of critical milestones. We propose an adaptation of the TRL scale and use it to discuss the current state of research on biological 3D printing. Finally, we provide specific recommendations for optimizing future research projects to pave the way for clinical applications of biological 3D printing and thus achieve adirect positive impact on surgical patient care.

Enhancing Student Comprehension of Glucose Metabolism Visualization Through Virtual Simulation Platform: An Educational Approach.

With the rapid progression of biotechnology, the significance translational research on glycolysis in molecular pharmacology has become increasingly evident. To deepen students' understanding of glycolytic processes and facilitate their comprehension of drug action mechanisms, we have developed a visual virtual simulation platform dedicated glycolysis. The educational approach commenced with theoretical lectures on glycolysis, followed by practical laboratory sessions where students measured glycolysis-related parameters such as hexokinase, pyruvate kinase, and lactate. Students then engaged with the virtual simulation training platform to explore glycolytic stress tests and positron emission tomography/computed tomography (PET/CT) imaging, with their progress tracked through an assessment mode. The study involved 67 s-year undergraduate students majoring in biomedical sciences, all of whom had received instruction in glucose metabolism theories and completed the associated questionnaires. The results showed that the students gained a deeper understanding of glycolysis and the clinical application of PET/CT imaging in the context of glycolysis. The majority also agreed that the integration of scientific and clinical cases in teaching is beneficial and that the project sparked their interest in scientific research. These findings align with existing literature that emphasizes the importance of innovative educational tools in enhancing student engagement and understanding of the underlying theories of the curriculum. This project designed an innovative glycolytic metabolism teaching system encompassing the monitoring of traditional glycolytic indicators, glycolytic stress tests, and PET/CT imaging based on glycolysis. The visual virtual simulation platform for glycolysis can serve as an innovative educational tool in the molecular pharmacology curriculum or other courses involving glycolysis, assisting students in deeply understanding the molecular mechanisms of glycolysis and its significance in disease and drug action.

Cell scientist to watch – Barbara Tanos

ABSTRACT Barbara Tanos is a Senior Lecturer in Biomedical Sciences in the Department of Life Sciences at Brunel University London (UK). Barbara received her undergraduate degree from the University of Buenos Aires, Argentina, followed by a PhD in Molecular Cancer Biology from Duke University in North Carolina, under the supervision of Ann Marie Pendergast, where she studied ABL tyrosine kinases and EGF receptor trafficking. For her postdoctoral studies, Barbara first joined Weill Cornell Medical School (USA), where she worked with Enrique Rodriguez-Boulan to investigate epithelial polarity. She then moved to Memorial Sloan Kettering (USA) to join the team of Bryan Tsou where she investigated centriole distal appendage proteins and cilia formation. Barbara started her own research group at Brunel University London, to explore the mechanisms of regulation of centrioles and cilia. We spoke with Barbara over Zoom to learn more about her career, being a global nomad and her love for writing poetry.

Application of biogenic silver nanoparticle incorporated nanofibers in biomedical science

The applications of nanotechnology are expanding into medical science for designing new medical devices related products. These products can deliver targeted therapies to diseases such as cancer and peripheral artery treatment. Therefore, with the goal to treat peripheral artery disease, we integrated biogenic silver nanoparticles (AgNPs) into polyethylene glycol-polycaprolactone (PEG-PCL) nanofibrous (NFs). The AgNPs-NFs mats were successfully fabricated using a blended electrospinning process. AgNPs with average sizes of 35–55 nm were produced and characterized using multiple techniques such as UV–Vis spectroscopy, TEM, SEM and FTIR. Nanofibrous membranes containing 1 %, 2 %, and 3 % AgNPs by weight were developed, showing a reduction in fiber diameter from 473 nm to 179 nm due to the introduction of charged particles. The scaffold’s suitability and drug release profile were critically analyzed, revealing results consistent with optimal biomedical applications. Preliminary studies indicated that AgNPs dose-dependent inhibition of human umbilical vein endothelial cells (HUVECs) may potentially help prevent atherosclerosis. These findings underscore the potential of AgNPs integrated PEG-PCL NFs mats for advanced biomedical applications.

Evaluating the Importance of Mentoring in Undergraduate Research Education Programs.

The National Institute of Health R25 Research Education Program was evaluated in the second year of implementation. Twelve mentors and 20 underrepresented minority students (URMs) scholars from partnerships and collaborations among five colleges and universities were added to the program to provide a more diverse research experience. Findings reveal that 100% of research mentors agree that the approachableness and accessibility of the program coordinator were beneficial in achieving mentorship goals and objectives. In addition, 85% of the students strongly agreed that the presentation of their research findings and the weekly reflection on goals, identification of accomplishments, and obstacles through the individual development plan were very effective. Of the 23 successfully tracked students for 2 years, six URMs (26.09%) obtained a bachelor's degree and were admitted into a graduate program; two were directly admitted to a PhD program in biomedical sciences.

Bio-Mechatronics Development of Robotic Exoskeleton System With Mobile-Prismatic Joint Mechanism for Passive Hand Wearable-Rehabilitation

The World Health Organization (WHO) estimates that 15 million people are affected by stroke each year, causing deterioration of the upper limb, which is reflected in 70-80% of them, decreasing the performance of daily activities and quality of life, mainly affecting hand functions. Thus, the purpose of this study is to present a high-quality alternative to recover muscle tone and mobility, consisting of a hand-exoskeleton for passive rehabilitation. It covers a motion protocol for each finger and pressure sensors to give a safety pressure range during the gripping function. The bio-design method covers standards (ISO 13485 and VDI 2206) based on biomechanic and anthropometric fundamentals, where Fusion 360 was used for mechanical development and electrical-electronic circuit schematics. The prototyping process was based on 3D printing using polylactic acid (PLA); also, the actuators were servomotors DS3218, the pressure sensors were RP-C7.6-LT, and the microcontroller was Arduino Nano. The system has been validated by the Institute of Research in Biomedical Sciences (INICIB) at the Ricardo Palma University, where the novelty of this work lies in the introduction of a new mobile-prismatic joint mechanism. In conclusion, favorable results were achieved regarding the complete flexion and extension of the fingers (91.6% acceptance rate, tested in 100 subjects), so the next step proposes that the wearable device will be used in the Physical Medicine and Rehabilitation Departments of Medical Centers. Doi: 10.28991/ESJ-2024-08-06-02 Full Text: PDF