Hasil untuk "Human anatomy"

Ruslan A. Nasyrov, Veronika A. Galichina, Anna O. Drobintseva et al.

Despite progress in understanding the molecular mechanisms of diseases, the dominant paradigm in explaining pathogenesis remains the concept of a pathogen’s direct damaging effect on parenchymal cells. Based on years of research, the authors of this article propose a revision of traditional views on disease pathogenesis. We emphasize the pivotal role of the microvasculature. Existing morphological studies provide insufficient insight into the role of these structures in the development of the pathological process. We conducted a search in international databases to find literary sources current as of December 2025. As an evidence base for the presented concept, we used the results of our own studies published from 1989 to the present. Data from the literature on non-infectious diseases are also separately presented. Our novel data from investigation of infectious and non-infectious diseases demonstrate that even in the initial stages of a pathological process, the microvessels of organs become the primary target of damage. The cascade of pronounced changes in parenchymal cells triggered by this initial event determines the development of the disease. The work examines the cellular and molecular aspects of the interaction between microvessels, pathogens, and the surrounding tissue. The proposed concept provides an objective and fundamentally new explanation for known facts. An important contribution of this concept is its potential to reveal promising directions for further research and for developing innovative approaches to disease therapy.

Lee H. Sweeney

Adeno-associated viruses (AAVs) containing versions of truncated dystrophin (micro-dystrophins) are being delivered to patients with Duchenne muscular dystrophy (DMD) in clinical trials. DMD is a progressive, childhood onset muscle wasting disease caused by mutations in the DMD gene that result in the loss of dystrophin protein in all muscle types (1). These clinical gene therapies aim to overexpress a truncated version of dystrophin in striated muscle capable of achieving partial correction of the disease. To avoid the immune response that is due to the inclusion of N-terminal segments of dystrophin being present in the micro-dystrophins, we have examined a strategy that uses the N-terminal region of utrophin combined with C-terminal components of dystrophin. We have evaluated a series of such constructs that include different C-terminal components using a severe mouse model of DMD, the D2.mdx mouse (2-4), and a rat model of DMD (Figure 1). We administered doses of AAV comparable to those used in clinical trials. We observed improvement in both the skeletal muscle and cardiac muscle disease progression. We report on our continued progress in designing an approach that should not provoke an immune response and benefit the heart as well as skeletal muscle.

Elise Arlt, Nadine Bley, Alexander Rausch et al.

Pancreatic ductal adenocarcinoma (PDAC) ranks among the most aggressive malignancies and exhibits a higher prevalence and poorer prognosis in male patients. While both the importance of natural killer (NK) cells in anti-tumor immunity and sex differences in NK cell function are well established, the interplay between biological sex and NK cell-mediated responses in PDAC has not been systematically addressed. Here, we provide novel insights revealing that both the intrinsic cytotoxic capacity of NK cells and the tumor microenvironment differ between sexes and jointly modulate anti-tumor immunity in PDAC. Using in vitro assays with primary NK cells from male and female mice, we found that female-derived NK cells exhibit consistently superior cytotoxic activity and immune activation. Importantly, these findings were reflected and even amplified in vivo. In a syngeneic allograft PDAC model, female mice displayed enhanced NK cell function, and female tumors exhibited distinct structural characteristics supporting stronger NK cell activity. Notably, this occurred despite the use of the same cell line in both sexes, indicating that host sex significantly shapes the composition and architecture of the tumor microenvironment. Our results provide new evidence that sex differences in NK cell-mediated immunity, within the broader immune and stromal landscape, may differentially impact tumor control in male and female PDAC hosts. This study therefore underscores the importance of considering sex as a biological variable in the preclinical evaluation of pancreatic cancer therapies.

Bhada Yun, Evgenia Taranova, Dana Feng et al.

There is no 'ordinary' when it comes to AI. The human-AI experience is extraordinarily complex and specific to each person, yet dominant measures such as usability scales and engagement metrics flatten away nuance. We argue for AI phenomenology: a research stance that asks "How did it feel?" beyond the standard questions of "How well did it perform?" when interacting with AI systems. AI phenomenology acts as a paradigm for bidirectional human-AI alignment as it foregrounds users' first-person perceptions and interpretations of AI systems over time. We motivate AI phenomenology as a framework that captures how alignment is experienced, negotiated, and updated between users and AI systems. Tracing a lineage from Husserl through postphenomenology to Actor-Network Theory, and grounding our argument in three studies-two longitudinal studies with "Day", an AI companion, and a multi-method study of agentic AI in software engineering-we contribute a set of replicable methodological toolkits for conducting AI phenomenology research: instruments for capturing lived experience across personal and professional contexts, three design concepts (translucent design, agency-aware value alignment, temporal co-evolution tracking), and a concrete research agenda. We offer this toolkit not as a new paradigm but as a practical scaffold that researchers can adapt as AI systems-and the humans who live alongside them-continue to co-evolve.

Minja Axelsson, Henry Shevlin

In this preliminary work, we offer an initial disambiguation of the theoretical concepts anthropomorphism and anthropomimesis in Human-Robot Interaction (HRI) and social robotics. We define anthropomorphism as users perceiving human-like qualities in robots, and anthropomimesis as robot developers designing human-like features into robots. This contribution aims to provide a clarification and exploration of these concepts for future HRI scholarship, particularly regarding the party responsible for human-like qualities - robot perceiver for anthropomorphism, and robot designer for anthropomimesis. We provide this contribution so that researchers can build on these disambiguated theoretical concepts for future robot design and evaluation.

Adhari AlZaabi, Ken Masters

Abstract Background Artificial intelligence (AI) is becoming increasingly relevant in healthcare, necessitating healthcare professionals’ proficiency in its use. Medical students and practitioners require fundamental understanding and skills development to manage data, oversee AI tools and make informed decisions based on AI applications. Integrating AI into medical education is essential to meet this demand. Method This cross-sectional study aimed to evaluate the level of undergraduate medical students’ readiness for AI as they enter their clinical years at Sultan Qaboos University’s College of Medicine and Health Sciences. The students’ readiness was assessed after being exposed to various AI related topics in several courses in the preclinical phases of the medical curriculum. The Medical Artificial Intelligence Readiness Scale For Medical Students (MAIRS-MS) questionnaire was used as the study instrument. Results A total of 84 out of 115 students completed the questionnaire (73.04% response rate). Of these, 45 (53.57%) were female while 39 (46.43%) were male. The cognition section, which evaluated the participants’ cognitive preparedness in terms of knowledge of medical AI terminology, the logic behind AI applications, and data science, received the lowest score (Mean = 3.52). Conversely, the vision section of the questionnaire, which assessed the participants’ capacity to comprehend the limitations and potential of medical AI, and anticipate opportunities and risks displayed the highest level of preparedness, had the highest score (Mean = 3.90). Notably, there were no statistically significant differences in AI competency scores by gender or academic year. Conclusion This study’s findings suggest while medical students demonstrate a moderate level of AI-readiness as they enter their clinical years, significant gaps remain, particularly in cognitive areas such as understanding AI terminology, logic, and data science. The majority of students use ChatGPT as their AI tool, with a notable difference in attitudes between tech-savvy and non-tech-savvy individuals. Further efforts are needed to improve students’ competency in evaluating AI tools. Medical schools should consider integrating AI into their curricula to enhance students’ preparedness for future medical practice. Assessing students’ readiness for AI in healthcare is crucial for identifying knowledge and skills gaps and guiding future training efforts.

Gloria D. Lesta, Thomas M. Deserno, Samira Abani et al.

Abstract Background Brain extraction is a common preprocessing step when working with intracranial medical imaging data. While several tools exist to automate the preprocessing of magnetic resonance imaging (MRI) of the human brain, none are available for canine MRIs. We present a pipeline mapping separate 2D scans to a 3D image, and a neural network for canine brain extraction. Methodology The training dataset consisted of T1-weighted and contrast-enhanced images from 68 dogs of different breeds, all cranial conformations (mesaticephalic, dolichocephalic, brachycephalic), with several pathological conditions, taken at three institutions. Testing was performed on a similarly diverse group of 10 dogs with images from a 4th institution. Results The model achieved excellent results in terms of Dice ( $$0.95\pm 0.01$$ ) and Jaccard ( $$0.90\pm 0.01$$ ) metrics and generalised well across different MRI scanners, the three aforementioned skull types, and variations in head size and breed. The pipeline was effective for a combination of one to three acquisition planes (i.e., transversal, dorsal, and sagittal). Aside from the T1 weighted imaging training datasets, the model also performed well on other MRI sequences with Jaccardian indices and median Dice scores ranging from 0.86 to 0.89 and 0.92 to 0.94, respectively. Conclusions Our approach was robust for automated brain extraction. Variations in canine anatomy and performance degradation in multi-scanner data can largely be mitigated through normalisation and augmentation techniques. Brain extraction, as a preprocessing step, can improve the accuracy of an algorithm for abnormality classification in MRI image slices.

Lise Maren Kloosterman, Renske Eilers, Aldo Scafoglieri et al.

Purpose The aim of this study was to explore the functioning of people with lipoedema from their perspective. Methods This was a qualitative study following a phenomenological perspective using individual in-depth interviews with a convenience sample of 13 Dutch people with lipoedema. The data were analysed by using an interpretative phenomenological approach. Results Two overarching group experiential themes (GETs) were identified: (1) “physical complaints are only a part of their problems”, and (2) “longing for improved appearance and functioning”. The GETs were composed of the following subordinate GETs: “disproportionate functioning of the lower body”, “navigating daily life with lipoedema”, “coping with uncertainty”, “the toll of shame and stigmatization”, “consequences of a very negative self-image”, “desire for change and improved appearance and functioning”, and “an ongoing journey of acceptance”. Conclusions Participants experience that physical complaints affect daily activities, but with adequate adaptability, participation issues are relatively limited. Instead, shame about their appearance and (fear of) stigmatization mainly leads to social avoidance. Additionally, participants long for freedom to do what they want, wear what they want, and desire a different appearance. Therefore, the experienced level of acceptance of the condition is context- and situation-dependent and not straightforward, which is complicated by the burden of knowing that the condition is chronic.

Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng et al.

Training manipulation policies for humanoid robots with diverse data enhances their robustness and generalization across tasks and platforms. However, learning solely from robot demonstrations is labor-intensive, requiring expensive tele-operated data collection which is difficult to scale. This paper investigates a more scalable data source, egocentric human demonstrations, to serve as cross-embodiment training data for robot learning. We mitigate the embodiment gap between humanoids and humans from both the data and modeling perspectives. We collect an egocentric task-oriented dataset (PH2D) that is directly aligned with humanoid manipulation demonstrations. We then train a human-humanoid behavior policy, which we term Human Action Transformer (HAT). The state-action space of HAT is unified for both humans and humanoid robots and can be differentiably retargeted to robot actions. Co-trained with smaller-scale robot data, HAT directly models humanoid robots and humans as different embodiments without additional supervision. We show that human data improves both generalization and robustness of HAT with significantly better data collection efficiency. Code and data: https://human-as-robot.github.io/

Matti Krüger, Daniel Tanneberg, Chao Wang et al.

The gaze of a person tends to reflect their interest. This work explores what happens when this statement is taken literally and applied to robots. Here we present a robot system that employs a moving robot head with a screen-based eye model that can direct the robot's gaze to points in physical space and present a reflection-like mirror image of the attended region on top of each eye. We conducted a user study with 33 participants, who were asked to instruct the robot to perform pick-and-place tasks, monitor the robot's task execution, and interrupt it in case of erroneous actions. Despite a deliberate lack of instructions about the role of the eyes and a very brief system exposure, participants felt more aware about the robot's information processing, detected erroneous actions earlier, and rated the user experience higher when eye-based mirroring was enabled compared to non-reflective eyes. These results suggest a beneficial and intuitive utilization of the introduced method in cooperative human-robot interaction.

Eva Miletínová, Eva Miletínová, Monika Kliková et al.

IntroductionRecurrent isolated sleep paralysis (RISP) is a rapid eye movement sleep (REM) parasomnia, characterized by the loss of voluntary movements upon sleep onset and/or awakening with preserved consciousness. Evidence suggests microstructural changes of sleep in RISP, although the mechanism of this difference has not been clarified yet. Our research aims to identify potential morphological changes in the brain that can reflect these regulations.Materials and methodsWe recruited 10 participants with RISP (8 women; mean age 24.7 years; SD 2.4) and 10 healthy control subjects (w/o RISP; 3 women; mean age 26.3 years; SD 3.7). They underwent video-polysomnography (vPSG) and sleep macrostructure was analyzed. After that participants underwent magnetic resonance imaging (MRI) of the brain. We focused on 2-dimensional measurements of cerebellum, pons and thalamus. Statistical analysis was done in SPSS program. After analysis for normality we performed Mann–Whitney U test to compare our data.ResultsWe did not find any statistically significant difference in sleep macrostructure between patients with and w/o RISP. No evidence of other sleep disturbances was found. 2-dimensional MRI measurements revealed statistically significant increase in cerebellar vermis height (p = 0.044) and antero-posterior diameter of midbrain-pons junction (p = 0.018) in RISP compared to w/o RISP.DiscussionOur results suggest increase in size of cerebellum and midbrain-pons junction in RISP. This enlargement could be a sign of an over-compensatory mechanism to otherwise dysfunctional regulatory pathways. Further research should be done to measure these differences in time and with closer respect to the frequency of RISP episodes.

Laura Stegner, David Porfirio, Laura M. Hiatt et al.

End-user development (EUD) represents a key step towards making robotics accessible for experts and nonexperts alike. Within academia, researchers investigate novel ways that EUD tools can capture, represent, visualize, analyze, and test developer intent. At the same time, industry researchers increasingly build and ship programming tools that enable customers to interact with their robots. However, despite this growing interest, the role of EUD within HRI is not well defined. EUD struggles to situate itself within a growing array of alternative approaches to application development, such as robot learning and teleoperation. EUD further struggles due to the wide range of individuals who can be considered end users, such as independent third-party application developers, consumers, hobbyists, or even employees of the robot manufacturer. Key questions remain such as how EUD is justified over alternate approaches to application development, which contexts EUD is most suited for, who the target users of an EUD system are, and where interaction between a human and a robot takes place, amongst many other questions. We seek to address these challenges and questions by organizing the first End-User Development for Human-Robot Interaction (EUD4HRI) workshop at the 2024 International Conference of Human-Robot Interaction. The workshop will bring together researchers with a wide range of expertise across academia and industry, spanning perspectives from multiple subfields of robotics, with the primary goal being a consensus of perspectives about the role that EUD must play within human-robot interaction.

Taoran Sheng, Manfred Huber

While the widely available embedded sensors in smartphones and other wearable devices make it easier to obtain data of human activities, recognizing different types of human activities from sensor-based data remains a difficult research topic in ubiquitous computing. One reason for this is that most of the collected data is unlabeled. However, many current human activity recognition (HAR) systems are based on supervised methods, which heavily rely on the labels of the data. We describe a weakly self-supervised approach in this paper that consists of two stages: (1) In stage one, the model learns from the nature of human activities by projecting the data into an embedding space where similar activities are grouped together; (2) In stage two, the model is fine-tuned using similarity information in a few-shot learning fashion using the similarity information of the data. This allows downstream classification or clustering tasks to benefit from the embeddings. Experiments on three benchmark datasets demonstrate the framework's effectiveness and show that our approach can help the clustering algorithm achieve comparable performance in identifying and categorizing the underlying human activities as pure supervised techniques applied directly to a corresponding fully labeled data set.

Callum Bennie, Bridget Casey, Cecile Paris et al.

This article presents an implementation of a natural-language speech interface and a haptic feedback interface that enables a human supervisor to provide guidance to, request information, and receive status updates from a Spot robot. We provide insights gained during preliminary user testing of the interface in a realistic robot exploration scenario.

Mingyue Yuan, Jieshan Chen, Yongquan Hu et al.

In automated UI design generation, a key challenge is the lack of support for iterative processes, as most systems focus solely on end-to-end output. This stems from limited capabilities in interpreting design intent and a lack of transparency for refining intermediate results. To better understand these challenges, we conducted a formative study that identified concrete and actionable requirements for supporting iterative design with Generative Tools. Guided by these findings, we propose PrototypeFlow, a human-centered system for automated UI generation that leverages multi-modal inputs and models. PrototypeFlow takes natural language descriptions and layout preferences as input to generate the high-fidelity UI design. At its core is a theme design module that clarifies implicit design intent through prompt enhancement and orchestrates sub-modules for component-level generation. Designers retain full control over inputs, intermediate results, and final prototypes, enabling flexible and targeted refinement by steering generation and directly editing outputs. Our experiments and user studies confirmed the effectiveness and usefulness of our proposed PrototypeFlow.

Edgar S. Kafarov, Ilia Miltykh, Andrey V. Dmitriev et al.

Introduction: To date, there is no unified approach to the lobar, zonal, and segmental structure of the kidney vasculature. There is no recognizable approach to define basic characteristics in regard to the lobes and segments identifying of the kidney. The branching of the renal artery has often been the subject of scientific research. This study aimed to analyze the arterial anatomy on the basis of zonal and segmental topography. Materials and methods: This study is a prospective cadaver study on autopsy material using corrosion casting and CT imaging techniques. The arterial vasculature was visualized using corrosive casting. In this study, 116 vascular casts were included. We identified the number of arteries in the kidney hilum, their topography, branching variations of the renal artery, and local blood supply zones of renal masses considering second- and third-order renal artery branches. We used a micro-CT BRUKER SkyScan 1178, digital camera, Mimics-8.1, and R. Results: This study has shown that RA divides into two or three zonal arteries, forming a two- or three-zonal vascular supply system. In the case of the two-zonal system, 54.3% of cases accounted for RA branching into ventral and dorsal arteries, whereas 15.5% of cases referred to superior polar and inferior polar zonal arteries. The three-zonal system implies 4 types of RA branching: 1) superior polar, ventral, and dorsal zonal branches (12.9%); 2) ventral, dorsal, and inferior polar zonal branches (9.5%); 3) two ventral and one dorsal zonal branches (5.2%), and 4) superior polar, central, and inferior polar zonal branches (2.5%). Conclusions: The results of this research make us reconsider Grave's classification theory.

Yong Jae Kwon, Young Cheol Yoon, Hyun Su Kim et al.

Abstract Background We investigated the prognostic significance of body mass index in small‐cell lung cancer and explored whether skeletal muscle status affects the body mass index–survival relationship. Methods This retrospective study evaluated data from patients who underwent platinum‐etoposide chemotherapy for small‐cell lung cancer between March 2010 and December 2021. Skeletal muscle status was assessed using non‐contrast computed tomography images of baseline positron‐emission tomography‐computed tomography, with the skeletal muscle index defined as the cross‐sectional area of skeletal muscle divided by height squared, and the average attenuation values of skeletal muscle. Cox proportional hazards regression analysis was used to determine the correlations of body mass index, skeletal muscle metrics, and overall survival. Results We analysed the data of 1146 Asian patients (1006 men and 140 women, with a median age of 67 years [interquartile range: 61–72 years]), including 507 and 639 patients with limited and extensive disease, respectively. Being underweight, defined as a body mass index <18.5 kg/m2, was associated with shorter overall survival, independent of clinical covariates in both the limited‐disease (hazard ratio, 1.77; 95% confidence interval, 1.01–3.09) and extensive‐disease (hazard ratio, 1.71; 95% confidence interval, 1.18–2.48) groups. The prognostic value of being underweight remained significant after additional adjustment for skeletal muscle index and attenuation in both limited‐disease (hazard ratio, 1.96; 95% confidence interval, 1.09–3.51) and extensive‐disease (hazard ratio, 1.75; 95% confidence interval, 1.17–2.61) groups. Conclusions Being underweight is an independent poor prognostic factor for shorter overall survival in Asian patients with small‐cell lung cancer, regardless of skeletal muscle status.

Consuelo Pitolli, Alberto Marini, Marika Guerra et al.

Abstract Background Medulloblastoma (MB) is the most common cerebellar malignancy during childhood. Among MB, MYC-amplified Group 3 tumors display the worst prognosis. MYC is an oncogenic transcription factor currently thought to be undruggable. Nevertheless, targeting MYC-dependent processes (i.e. transcription and RNA processing regulation) represents a promising approach. Methods We have tested the sensitivity of MYC-driven Group 3 MB cells to a pool of transcription and splicing inhibitors that display a wide spectrum of targets. Among them, we focus on THZ531, an inhibitor of the transcriptional cyclin-dependent kinases (CDK) 12 and 13. High-throughput RNA-sequencing analyses followed by bioinformatics and functional analyses were carried out to elucidate the molecular mechanism(s) underlying the susceptibility of Group 3 MB to CDK12/13 chemical inhibition. Data from International Cancer Genome Consortium (ICGC) and other public databases were mined to evaluate the functional relevance of the cellular pathway/s affected by the treatment with THZ531 in Group 3 MB patients. Results We found that pharmacological inhibition of CDK12/13 is highly selective for MYC-high Group 3 MB cells with respect to MYC-low MB cells. We identified a subset of genes enriched in functional terms related to the DNA damage response (DDR) that are up-regulated in Group 3 MB and repressed by CDK12/13 inhibition. Accordingly, MYC- and CDK12/13-dependent higher expression of DDR genes in Group 3 MB cells limits the toxic effects of endogenous DNA lesions in these cells. More importantly, chemical inhibition of CDK12/13 impaired the DDR and induced irreparable DNA damage exclusively in MYC-high Group 3 MB cells. The augmented sensitivity of MYC-high MB cells to CDK12/13 inhibition relies on the higher elongation rate of the RNA polymerase II in DDR genes. Lastly, combined treatments with THZ531 and DNA damage-inducing agents synergically suppressed viability of MYC-high Group 3 MB cells. Conclusions Our study demonstrates that CDK12/13 activity represents an exploitable vulnerability in MYC-high Group 3 MB and may pave the ground for new therapeutic approaches for this high-risk brain tumor.

K. P. Dąbrowski, P. Palczewski, H. Stankiewicz-Jóźwicka et al.

A 28-year-old male musical student has been presented with visible inability of active abduction and extension of the thumbs in both hands beyond the neutral position. The student has not been previously diagnosed and claimed no history of trauma or surgical procedures in the area of hands and no family history of such disabilities. The student remained capable of playing on keyboard instruments on high level due to compensation by hyperextension of the interphalangeal joint of both thumbs and showed no increased frequency of the injuries or playing-related disorders. The ultrasound and magnetic resonance imaging showed complete bilateral agenesis of extensor pollicis brevis muscles and was classified as isolated congenital clasped thumb syndrome. Due to the age of the student and the agenesis of the muscles the conservative treatment was deemed inadequate and due to high functionality of the student as a musician and unforeseeable results it might have on a musician’s career, surgical treatment has been disadvised.

Étienne Fournier, Dorilys Kilgus, Aurélie Landry et al.

Since cobots (collaborative robots) are increasingly being introduced in industrial environments, being aware of their potential positive and negative impacts on human collaborators is essential. This study guides occupational health workers by identifying the potential gains (reduced perceived time demand, number of gestures and number of errors) and concerns (the cobot takes a long time to perceive its environment, which eads to an increased completion time) associated with working with cobots. In our study, the collaboration between human and cobot during an assembly task did not negatively impact perceived cognitive load, increased completion time (but decreased perceived time demand), and decreased the number of gestures performed by participants and the number of errors made. Thus, performing the task in collaboration with a cobot improved the user's experience and performance, except for completion time, which increased. This study opens up avenues to investigate how to improve cobots to ensure the usability of the human-machine system at work.