Black bodies in phenomenological bioethics: cultural othering, 'Corporeal Uncanny' and ethical quandaries of black nurses in Take My Hand and Small Great Things.

The aims of the present article are twofold. First, it attempts to theorise the thematic and ontological intersection between phenomenological and black bioethics and proposes 'Ontic-Black Bioethics', a neologism to evince how the corporeal misconceptions (such as race construct, bodily othering and colourism) become the cultural impediment for black women healthcare professionals. The article draws specific insights from the philosophical anthropology of race, ranging from Richard Polt to Sarah Ahmed, to understand the epistemic structures of scientific racism. Second, it investigates how the racial attitudes of white healthcare professionals and supremacist patients towards black nurses can be potential triggers of cultural othering, corporeal burden and ethical quandaries by closely reading Take My Hand by Dolen Perkins-Valdez (2022) and Small Great Things by Jodi Picoult (2016). For this, the article relies on the theoretical frameworks of cultural phenomenology and somatic attention postulated by Thomas Csordas, Philipa Rothfield and other theoreticians of varying importance. While the corporeality of black nurses is replete with the images of biological misconception and racial-cultural constructs, the epistemic perspectives and literary representations underscoring their bodily and experiential agony have been scarcely examined through the lenses of bioethics. Thus, the article construes the corporeality of black nurses as the confluence of biological and cultural discourses under phenomenological bioethics.

Deep learning in sex estimation from photographed human mandible using the Human Osteological Research Collection.

Sex estimation is a necessary part of forensic and osteological analyses of skeletal human remains in the construction of a biological profile. Several skeletal traits are sexually dimorphic and used for skeletal sex estimation. The human mandible and morphological traits therein have been long used for sex estimation, but the validity of using the mandible in this purpose has become a concern. In this study, we examined the potential of artificial intelligence (AI) and especially deep learning (DL) to provide accurate sex estimations from the mandible. We used 193 modern South African mandibles from the Human Osteological Research Collection (HORC) in the Sefako Makgatho Health Sciences university with known sex to conduct our study. All mandibles were photographed from the same angle and the photographs were analyzed with an open-source DL software. The best-performing DL algorithm estimated the sex of males with 100% accuracy and females with 76.9% accuracy. However, further studies with a higher number of specimens could provide more reliable validity for using AI when building the biological profile from skeletal remains.

Sensing, knowing, and making water quality along Marikina River in the Philippines.

Water quality is a major concern around the world, but assessments of quality often privilege producers, regulators and experts over consumers. With water supplies and sources constantly in flux, how do ordinary people experience and "sense" quality? How do they define "good" or "good enough" water, and what practices do they engage in to "make" good water? In this article, we attend to these questions by presenting findings from an open-ended qualitative study carried out along the Marikina River, Manila, the Philippines - a waterway that courses from rural and mountainous villages to highly urbanized communities. First, we describe the sensorial and cognitive attributes that people associate with the different water sources in their environment, as well as their decision-making regarding what kind of water to use for which purposes. Second, we present the "making" of water quality: how, in a context of polluted environments and water scarcity, do people try to secure water they consider acceptable for themselves and their families. Our findings reveal water quality as a contested, relational domain-one that reinforces social and health disparities and calls for further scholarship.

Ang kalidad ng tubig ay kinababahala sa buong mundo, ngunit ang pagkilatis ng kalidad na ito ay kadalasang nasa kamay ng mga kompanya ng tubig, mga dalubhasa, at gobyerno, - wala sa mga tao. Sa kabila ng mga pagbabago at pangamba ukol sa tubig, paano nga ba nararanasan at nararamdaman ng mga ordinaryong tao ang kalidad ng tubig? Paano nila nasasabi na maganda, o puwede na, ang isang klase ng tubig, at anong mga pamamaraan o diskarte ang ginagawa nila para maging 'puwede na' ito? Sa artikulong ito, tinatalakay namin ang mga katanungang ito base sa isang qualitative research na isinagawa namin sa mga bayan sa kahabaan ng Ilog Marikina, na dumadaloy mula sa bulubunduking kanayunan ng Sierra Madre hanggang sa mga urbanisadong pamayanan ng Kamaynilaan. Una, inilalarawan namin ang mga katangian na inuugnay ng mga tao sa iba't ibang uri ng tubig sa kanilang kapaligiran, at kung paano sila nagdedesisyon kung alin sa mga ito ang gagamitin sa iba't ibang paggagamitan. Pangalawa, ipinapakita namin kung paano nila ginagawang 'puwede na' ang tubig para sa kanila at kanilang mga pamilya. Sa kabuuan, napag-alaman namin na ang kalidad ng tubig ay isang komplikadong larangan, nakaugat sa iba't ibang relasyon, nakapagpapalala sa mga hindi pagkakapantay-pantay ng lipunan, at nananawagan ng mas malalamin na pag-aaral.

People living along Marikina River rely on everyday experiences to define "good enough" water and decide what kind of water to take. If the water is not clean, they either choose another source or engage in various household practices to make it good enough, from boiling and filtering to simply waiting. Upstream, the water is perceived as cleaner and has more uses; as the river flows to Manila, people rely increasingly on mineral water and water from refilling stations for drinking. But what kind of what people use, for what purpose, is influenced by social and economic factors. We suggest that governments monitor the quality of water in different sources, and evaluate how people try to make water cleaner and safer. Governments need to take into account how people sense, know, and make water quality in crafting better and fairer policies and programs.

What is "good" or "good enough" water for people? The authors explore the knowing, sensing, and making of water quality along Markina River in the Philippines, and how people's embodied experiences of water are shaped by their geographic, economic, and "hydrosocial" contexts.

Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cranial Sutures in Northern Chinese Han Adults.

OBJECTIVES: To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation (MPR), and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population. METHODS: The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected. Volume reconstruction (VR) and MPR were performed on the skull, and 160 cranial suture tomography images were generated for each sample. Then the MPR images of cranial sutures were scored according to the closure grading criteria, and the mean closure grades of sagittal suture, coronal sutures (both left and right) and lambdoid sutures (both left and right) were calculated respectively. Finally taking the above grades as independent variables, the linear regression model and four machine learning models for age estimation (gradient boosting regression, support vector regression, decision tree regression and Bayesian ridge regression) were established for northern Chinese Han adults age estimation. The accuracy of each model was evaluated. RESULTS: Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest. All four machine learning models had higher age estimation accuracy than linear regression model. The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years. CONCLUSIONS: The combination of skull CT-MPR and machine learning model can be used for age estimation in northern Chinese Han adults, but it is still necessary to combine with other adult age estimation indicators in forensic practice.

Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian's Method Combined with Machine Learning Algorithms.

OBJECTIVES: To investigate the application value of combining the Demirjian's method with machine learning algorithms for dental age estimation in northern Chinese Han children and adolescents. METHODS: Oral panoramic images of 10 256 Han individuals aged 5 to 24 years in northern China were collected. The development of eight permanent teeth in the left mandibular was classified into different stages using the Demirjian's method. Various machine learning algorithms, including support vector regression (SVR), gradient boosting regression (GBR), linear regression (LR), random forest regression (RFR), and decision tree regression (DTR) were employed. Age estimation models were constructed based on total, female, and male samples respectively using these algorithms. The fitting performance of different machine learning algorithms in these three groups was evaluated. RESULTS: SVR demonstrated superior estimation efficiency among all machine learning models in both total and female samples, while GBR showed the best performance in male samples. The mean absolute error (MAE) of the optimal age estimation model was 1.246 3, 1.281 8 and 1.153 8 years in the total, female and male samples, respectively. The optimal age estimation model exhibited varying levels of accuracy across different age ranges, which provided relatively accurate age estimations in individuals under 18 years old. CONCLUSIONS: The machine learning model developed in this study exhibits good age estimation efficiency in northern Chinese Han children and adolescents. However, its performance is not ideal when applied to adult population. To improve the accuracy in age estimation, the other variables can be considered.

Adults Ischium Age Estimation Based on Deep Learning and 3D CT Reconstruction.

OBJECTIVES: To develop a deep learning model for automated age estimation based on 3D CT reconstructed images of Han population in western China, and evaluate its feasibility and reliability. METHODS: The retrospective pelvic CT imaging data of 1 200 samples (600 males and 600 females) aged 20.0 to 80.0 years in western China were collected and reconstructed into 3D virtual bone models. The images of the ischial tuberosity feature region were extracted to create sex-specific and left/right site-specific sample libraries. Using the ResNet34 model, 500 samples of different sexes were randomly selected as training and verification set, the remaining samples were used as testing set. Initialization and transfer learning were used to train images that distinguish sex and left/right site. Mean absolute error (MAE) and root mean square error (RMSE) were used as primary indicators to evaluate the model. RESULTS: Prediction results varied between sexes, with bilateral models outperformed left/right unilateral ones, and transfer learning models showed superior performance over initial models. In the prediction results of bilateral transfer learning models, the male MAE was 7.74 years and RMSE was 9.73 years, the female MAE was 6.27 years and RMSE was 7.82 years, and the mixed sexes MAE was 6.64 years and RMSE was 8.43 years. CONCLUSIONS: The skeletal age estimation model, utilizing ischial tuberosity images of Han population in western China and employing the ResNet34 combined with transfer learning, can effectively estimate adult ischium age.

Adolescents and Children Age Estimation Using Machine Learning Based on Pulp and Tooth Volumes on CBCT Images.

OBJECTIVES: To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography (CBCT) images, and to compare and analyze the estimation results. METHODS: A total of 498 Shanghai Han adolescents and children CBCT images of the oral and maxillofacial regions were collected. The pulp and tooth volumes of the left maxillary central incisor and cuspid were measured and calculated. Three machine learning algorithms (K-nearest neighbor, ridge regression, and decision tree) and stepwise regression were used to establish four age estimation models. The coefficient of determination, mean error, root mean square error, mean square error and mean absolute error were computed and compared. A correlation heatmap was drawn to visualize and the monotonic relationship between parameters was visually analyzed. RESULTS: The K-nearest neighbor model (R2=0.779) and the ridge regression model (R2=0.729) outperformed stepwise regression (R2=0.617), while the decision tree model (R2=0.494) showed poor fitting. The correlation heatmap demonstrated a monotonically negative correlation between age and the parameters including pulp volume, the ratio of pulp volume to hard tissue volume, and the ratio of pulp volume to tooth volume. CONCLUSIONS: Pulp volume and pulp volume proportion are closely related to age. The application of CBCT-based machine learning methods can provide more accurate age estimation results, which lays a foundation for further CBCT-based deep learning dental age estimation research.

Determining Whether an Individual is 18 Years or Older Based on the Third Molar Root Pulp Visibility in East China.

OBJECTIVES: To investigate the age-related changes of the mandibular third molar root pulp visibility in individuals in East China, and to explore the feasibility of applying this method to determine whether an individual is 18 years or older. METHODS: A total of 1 280 oral panoramic images were collected from the 15-30 years old East China population, and the mandibular third molar root pulp visibility in all oral panoramic images was evaluated using OLZE 0-3 four-stage method, and the age distribution of the samples at each stage was analyzed using descriptive statistics. RESULTS: Stages 0, 1, 2 and 3 first appeared in 16.88, 19.18, 21.91 and 25.44 years for males and in 17.47, 20.91, 22.01 and 26.01 years for females. In all samples, individuals at stages 1 to 3 were over 18 years old. CONCLUSIONS: It is feasible to determine whether an individual in East China is 18 years or older based on the mandibular third molar root pulp visibility on oral panoramic images.

A review of the contributions of forensic archaeology and anthropology to the process of disaster victim identification.

Forensic archaeology and anthropology have developed significantly over past decades and now provide considerable assistance to the investigation process of disaster victim recovery and identification. In what are often chaotic death and crime scenes, the formal process of utilizing archaeological methods can bring control, order, and ensure systematic search. Procedures assist in defining scene extent, locating victims and evidence, rule out areas for consideration, and provide standardized recording and quality assurance through dedicated use of standardized forms (pro formas). Combined archaeological and anthropological search methods maximize opportunities to recovery the missing through identifying remains, mapping distributions, and providing accounting of victims at the scene. Anthropological assistance in examinations contributes to individual assessment, resolving commingling and fragmentation issues, and utilizing DNA sampling methods and matching data to reassociate and account for the missing. Utilization of archaeology, anthropology, and DNA matching data provides scope to review crime scene recovery and determine requirements and potential for further survey and retrieval. Adopting the most suitable methods for a particular context can maximize recovery, efficiency, and resource use. Case studies demonstrate the utility of archaeological methods in a range of scenarios. They exemplify the success of multidisciplinary analysis in providing evidence of the sequence of events, the timing of events, the impact of taphonomic processes, the location and accounting of victims, and the demonstration of systematic scene search. The considerations provided in this article, utilizing archaeology and anthropology processes, may assist investigators in planning and implementing responses to mass fatalities.

The quality of qualitative research.

In this contribution, we discuss criteria for the quality of qualitative research. We consider reliability and validity as specifications of the comprehensive requirement for 'intersubjective replicability', with which qualitative research should comply. In the data collection phase, 'argumentative' reliability generally must suffice; in the data analysis phase, attention must also be given to 'technical' reliability. Validation of qualitative research has to take place via three approaches: 'communicative', 'critical' or 'empirical' validation. This clarifies the relative validity or 'authenticity' of qualitative research.

Emotional self-regulation and personality in the light of Thomas Aquinas's philosophical anthropology.

This article aims to thoroughly understand the concept of emotional self-regulation (ESR) and its relationship with personality. Through an interdisciplinary dialogue between psychology and philosophy-specifically, the anthropology of Thomas Aquinas-three realities are proposed that could be considered as ESR. The conceptual relationship between ESR-understood as operation, faculty and habit-and personality is examined, specifically using the Five-Factor Model and the virtues model. Key findings include the need for consensus on a precise definition of ESR, the central role of reason as a faculty capable of ruling over emotions, the relevance of the distinction between ESR and self-control, and the understanding of ESR as a set of habits that include aspects of prudence, temperance and fortitude. Interdisciplinary dialogue seems to be a valuable intellectual approach to the advancement of the field of psychology.

Genomic imputation of ancient Asian populations contrasts local adaptation in pre- and post-agricultural Japan.

Early modern humans lived as hunter-gatherers for millennia before agriculture, yet the genetic adaptations of these populations remain a mystery. Here, we investigate selection in the ancient hunter-gatherer-fisher Jomon and contrast pre- and post-agricultural adaptation in the Japanese archipelago. Building on the successful validation of imputation with ancient Asian genomes, we identify selection signatures in the Jomon, particularly robust signals from KITLG variants, which may have influenced dark pigmentation evolution. The Jomon lacks well-known adaptive variants (EDAR, ADH1B, and ALDH2), marking their emergence after the advent of farming in the archipelago. Notably, the EDAR and ADH1B variants were prevalent in the archipelago 1,300 years ago, whereas the ALDH2 variant could have emerged later due to its absence in other ancient genomes. Overall, our study underpins local adaptation unique to the Jomon population, which in turn sheds light on post-farming selection that continues to shape contemporary Asian populations.

Gender inequality in workloads explained by operational sex ratio.

Ecological differences between human populations can affect the relative strength of sexual selection, and hence drive gender inequality. Here, we exploit the cultural diversity of southwestern China, where some village sex ratios are female-biased, in part due to a proportion of males entering monastic celibacy, to evaluate the role of sex ratio on the sexual division of labor. We used a detachable activity tracker to measure workload by step counts in both sexes among 561 individuals in 55 villages in six different areas. We show that a lower sex ratio and a higher prevalence of monasticism are associated with higher women's workloads and reduced men's workloads in the non-celibate population. As the operational sex ratio increases, gender inequality diminishes. This study offers valuable insights into the origins of gender disparities by examining the role of sex ratio on the sexual division of labor.

Anthropology and ethnobotany in health mediation: an illustration of a clinical, personalized approach for Haitian migrants in a French Guianese hospital.

Introduction: In French Guiana, a European territory in Guiana shield in the Amazon area, close to 40% of the current population was born abroad. In this context, it is important to listen to the experiences of migrants to better understand the difficulties encountered within the healthcare pathways. This is the aim of ANRS Parcours d'Haïti project, an epidemiological, biographical and socio-anthropological study conducted on a representative sample of the Haitian community in French Guiana and focusing on the social determinants of health. Methodology: Within the framework of this study, the Infectious and Tropical Diseases clinical team of Cayenne Hospital has established close collaboration with health mediators and the ethnobotanist anthropologist of the study. To illustrate the contribution of a personalized approach to health mediation, we report the case of a migrant woman of Haitian origin admitted to the Infectious and Tropical Diseases Unit. We highlight the different socio-cultural aspects addressed and their place in the care process through a thematic discussion and socio-anthropological analysis of the care relationship, based on participatory ethnography and inductive analysis of an in-depth interview with the patient. Result: This example illustrates the need for a multidisciplinary approach to ensure culturally adapted care for patients. Personal interviews are important because they allow to better take into account the cultural specificities of patients' experiences and the socio-cultural environment in which they live (and especially, in the case of Haitian patients, their religious affiliation). By allowing them to speak and express themselves freely, they integrate not only their own cultural baggage, but also their own expectations and representations of the disease they suffer from and how it should be treated. Ultimately, this tripartite collaboration between patient, caregiver, and anthropologist or health mediator leads to a better therapeutic alliance. Conclusion: The analysis of this health care relationship is emblematic of the issue of cultural competence and pre-conceptualizes what intercultural mediation in health care could be, as close as possible to the caregiver and the individual.

Epistemological Flexibility in Person-Centered Care: The Cynefin Framework for (Re)Integrating Indigenous Body Representations in Manual Therapy.

BACKGROUND: Chiropractic, osteopathy, and physiotherapy (COP) professionals regulated outside the United States traditionally incorporate hands-on procedures aligned with their historical principles to guide patient care. However, some authors in COP research advocate a pan-professional, evidence-informed, patient-centered approach to musculoskeletal care, emphasizing hands-off management of patients through education and exercise therapy. The extent to which non-Western sociocultural beliefs about body representations in health and disease, including Indigenous beliefs, could influence the patient-practitioner dyad and affect the interpretation of pillars of evidence-informed practice, such as patient-centered care and patient expectations, remains unknown. METHODS: our perspective paper combines the best available evidence with expert insights and unique viewpoints to address gaps in the scientific literature and inform an interdisciplinary readership. RESULTS: A COP pan-professional approach tends to marginalize approaches, such as prevention-oriented clinical scenarios traditionally advocated by osteopathic practitioners for patients with non-Western sociocultural health assumptions. The Cynefin framework was introduced as a decision-making tool to aid clinicians in managing complex clinical scenarios and promoting evidence-informed, patient-centered, and culturally sensitive care. CONCLUSION: Epistemological flexibility is historically rooted in osteopathic care, due to his Indigenous roots. It is imperative to reintroduce conceptual and operative clinical frameworks that better address contemporary health needs, promote inclusion and equality in healthcare, and enhance the quality of manual therapy services beyond COP's Western-centered perspective.

Research Progress on Dental Age Estimation Based on MRI Technology.

Dental age estimation is a crucial aspect and one of the ways to accomplish forensic age estimation, and imaging technology is an important technique for dental age estimation. In recent years, some studies have preliminarily confirmed the feasibility of magnetic resonance imaging (MRI) in evaluating dental development, providing a new perspective and possibility for the evaluation of dental development, suggesting that MRI is expected to be a safer and more accurate tool for dental age estimation. However, further research is essential to verify its accuracy and feasibility. This article reviews the current state, challenges and limitations of MRI in dental development and age estimation, offering reference for the research of dental age assessment based on MRI technology.

Application of Medical Statistical and Machine Learning Methods in the Age Estimation of Living Individuals.

In the study of age estimation in living individuals, a lot of data needs to be analyzed by mathematical statistics, and reasonable medical statistical methods play an important role in data design and analysis. The selection of accurate and appropriate statistical methods is one of the key factors affecting the quality of research results. This paper reviews the principles and applicable principles of the commonly used medical statistical methods such as descriptive statistics, difference analysis, consistency test and multivariate statistical analysis, as well as machine learning methods such as shallow learning and deep learning in the age estimation research of living individuals, and summarizes the relevance and application prospects between medical statistical methods and machine learning methods. This paper aims to provide technical guidance for the age estimation research of living individuals to obtain more scientific and accurate results.

An exclusionary screening method based on 3D morphometric features to sort commingled atlases and axes.

In forensic commingled contexts, when the disarticulation occurs uniquely at the atlantoaxial joint, the correct match of atlas and axis may lead to the desirable assembly of the entire body. Notwithstanding the importance of this joint in such scenarios, no study has so far explored three-dimensional (3D) methodologies to match these two adjoining bones. In the present study, we investigated the potential of re-associating atlas and axis through 3D-3D superimposition by testing their articular surfaces congruency in terms of point-to-point distance (Root Mean Square, RMS). We analysed vertebrae either from the same individual (match) and from different individuals (mismatch). The RMS distance values were assessed for both groups (matches and mismatches) and a threshold value was determined to discriminate matches with a sensitivity of 100%. The atlas and the corresponding axis from 41 documented skeletons (18 males and 23 females), in addition to unpaired elements (the atlas or the axis) from 5 individuals, were superimposed, resulting in 41 matches and 1851 mismatches (joining and non-joining elements). No sex-related significant differences were found in matches and mismatches (p = 0.270 and p = 0.210, respectively), allowing to pool together the two sexes in each group. RMS values ranged between 0.41 to 0.77 mm for matches and between 0.37 and 2.18 mm for mismatches. Significant differences were found comparing the two groups (p < 0.001) and the highest RMS of matches (0.77 mm) was used as the discriminative value that provided a sensitivity of 100% and a specificity of 41%. In conclusion, the 3D-3D superimposition of the atlanto-axial articular facets cannot be considered as a re-association method per se, but rather as a screening one. However, further research on the validation of the 3D approach and on its application to other joints might provide clues to the complex topic of the reassociation of crucial adjoining bones.

Role of Mandibular Parameters in Gender Determination: A Systematic Review and Meta-Analysis.

Forensic anthropology and forensic medicine both have been fascinating fields that deal with mandibular characteristics and sex determination. Researchers may determine an individual's biological sex with amazing precision by examining the size, shape, and proportions of the mandible. This information is useful for anthropological studies and criminal investigations. This systematic review aims to evaluate the consistency and validity of using mandibles as a method for gender determination across different populations. A systematic search was conducted in PubMed, Web of Science, and Scopus databases. Further, a manual search was carried out to find additional studies. Mandibular parameters and other relevant data about research were extracted from the included studies. Random effects meta-analysis was carried out for four parameters. A total of nine studies were included in the systematic review out of 76 initial search results. All studies were in vitro. Nine studies were included in the qualitative analysis, whereas only seven studies were included in the meta-analysis. A total of 2385 individuals (1193 male and 1192 female) were evaluated in the included studies. The parameters assessed were as follows: minimum ramus breadth (MiRB), maximum ramus breadth (MaRB), projective ramus height (PRH), bigonial width (BGW), gonial angle (GA), and antegonial angle (AGA). Meta-analysis was conducted for four parameters out of six. For the two parameters, meta-analysis was not conducted as only one study was evaluated. Meta-analyses of PRH obtained a high degree of heterogeneity (99%), mean difference (MD) of 4.06 mm, and p-value of p=0.09. Meta-analysis of BGW obtained 93% heterogeneity, MD of 9.03 mm, and p=0.0007. Meta-analysis of GA showed 99% heterogeneity, MD of 3.44 mm, and p=0.66. Meta-analysis of AGA obtained a low heterogeneity of 30%, MD of -0.77 mm, and p=0.23. The parameter, BGW, can be considered a useful tool in identifying sex. The parameters, PRH, GA, and AGA, cannot be preferred as a reliable tool in identifying the sex of an individual in forensic contexts.

Christian anthropology-based contributions to the ethics of socially assistive robots in care for older adults.

Our society, in general, and health care, in particular, faces notable challenges due to the emergence of innovative digital technologies. The use of socially assistive robots in aged care is a particular digital application that provokes ethical reflection. The answers we give to the ethical questions associated with socially assistive robots are framed by ontological and anthropological considerations of what constitutes human beings and how the meaning of being human relates to how these robots are conceived. Religious beliefs and secular worldviews, each of which may participate fully in pluralist societies, have an important responsibility in this foundational debate, as anthropological theories can be inspired by religious and secular viewpoints. This article identifies seven anthropological considerations grounded in the synthesis of biblical scriptures, Roman Catholic documents, and recent research literature. We highlight the inspirational quality of these anthropological considerations when dealing with ethical issues regarding the development and use of socially assistive robots in aged care. With this contribution, we aim to foster a global and inclusive dialogue on digitalization in aged care that deeply challenges our basic understanding of what constitutes a human being and how this notion relates to machine artefacts.