Technological Interest Research Articles

Towards defining the public interest in technology: lessons from history

Abstract The public interest suggests a singular approach to a social good, but lessons from history illustrate the nuances of sharing open space, transportation networks, and policy mandates. Serving the public exists across a spectrum of possibilities. In this essay, we consider how the emerging field of public interest technology could learn from previous assumptions about who counts as the public and how benefits or harms can be overly concentrated in certain populations. We situate public interest technology as a growing capability of government public service, an institutionalized professional practice like public interest law, as well as a site of critical inquiry. Our definition of the public interest is motivated by a theory of change that recognizes the strength of inclusion. Punctuated with historic and contemporary examples, this essay argues that by acknowledging conflicts of interest and embracing the marginal, public interest technology could build ethical infrastructures to serve all.

Speech recognition technology in prehospital documentation: A scoping review

ObjectivesThe nature of paramedic workflows, where paramedics are responsible to provide care and chart concurrently, can result in incomplete or non-existent patient care reports on patient handover to the emergency department (ED). Charting delays and retrospective recollection of care may lead to patient information gaps, which can increase ED workload, cause care delays, and increase the risk of adverse events. Speech recognition documentation technology has the potential to produce complete patient care reports quicker and improve paramedic-to-ED handover. We performed a scoping review to determine paramedic perceptions and user requirements for speech recognition documentation technology. MethodsMEDLINE, Google Scholar, IEEE Explore, ProQuest, and CINAHL were searched from 2014 to March 2024. Criteria included studies focused on paramedics’ use or perceptions of speech recognition documentation technology. This review included studies conducted in the prehospital environment and adjacent agencies (i.e., ED, fire, police, military). ResultsThe review identified eight articles that met inclusion criteria. All eight articles were small focus group-based studies in laboratory settings published on or after 2020. Five studies were conducted in the United States, two in Switzerland, and one in Japan. Of the eight studies, five recommended further live environment testing of the technology examined, and three underscored the importance of a user-centred design. The top user requirements for speech recognition adoption was hands-free use, noise reduction technology, battery life, and word accuracy. All eight studies recommended further research and development of speech recognition documentation technology in the prehospital workflow. ConclusionThis scoping review has highlighted that while there is a growing interest in speech recognition documentation technology in the paramedicine workflow, more research is needed, especially with larger samples in a live environment. The user requirements and perceptions of speech recognition documentation technology in paramedicine must be better understood to design systems with high adoption rates.

Estimating the tipping point for lithium iron phosphate batteries

Uncertainty surrounding NMC cathode chemistry prices have prompted increasing interest in less expensive alternative technologies. Chief among these is lithium iron phosphate (LFP), a chemistry that offers a cost advantage at the expense of energy density. We estimate which chemistry offers a lower cost at targeted vehicle ranges consistent with those consumers can expect from internal combustion engine vehicles. Our model – which considers tradeoffs between battery capacity and weight – enumerates a range ‘tipping point’ of 373.52 miles, beyond which NMC batteries consistently demonstrate a cost advantage over LFP batteries, despite the latter's reliance on less costly minerals. Using this tipping point as a benchmark, we leverage trip-level data from the National Household Travel Survey to explore which U.S. households may benefit from EVs equipped with LFP versus NMC batteries. Among multi-vehicle households, only 1 % of all trips taken exceed 160.53 miles, a figure analogous to our most conservative tipping point. To the extent that EVs may be utilized for relatively short commutes or as secondary or tertiary vehicles, our results suggest that LFP batteries can offer lower costs relative to NMC batteries while satisfying most households' travel demands. We subsequently discuss the policy implications of these findings.

Suppression of quantum dissipation: a cooperative effect of quantum squeezing and quantum measurement

The ability to isolate a quantum system from its environment is of fundamental interest and importance in optical quantum science and technology. Here we propose an experimentally feasible scheme for beating environment-induced dissipation in an open two-level system coupled to a parametrically driven cavity. The mechanism relies on a novel, to the best of our knowledge, cooperation between light–matter coupling enhancement and frequent measurements. We demonstrate that, in the presence of the cooperation, the system dynamics can be completely dominated by the effective system–cavity interaction, and the dissipative effects from the system–environment coupling can be surprisingly ignored. This work provides a generic method of dissipation suppression in a variety of quantum mechanical platforms, including natural atoms and superconducting circuits.

Exploring Public Acceptance of Climate Technologies: A Study on Key Influences in South Korea

The accelerating climate crisis is driving a rapid increase in interest in climate technologies aimed at overcoming it. However, even if effective technologies emerge, their impact may be hindered without public acceptance. Therefore, it is necessary to analyze the factors that influence the acceptance of new climate technologies. This exploratory study investigates the key factors influencing public acceptance and the recommendation of climate technologies in South Korea. Utilizing an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, survey data from 200 participants were analyzed. The study identified that facilitating conditions, innovativeness, social influence, and trust in government are the most significant predictors of public intent to accept or recommend climate technologies. The results highlight the critical role of strategic communication, infrastructure, and public trust in promoting the adoption of climate solutions. Furthermore, qualitative interviews suggest that a shift towards Personally Determined Contributions (PDCs) could empower individuals to become proactive agents in climate action. The study offers valuable insights for policymakers, providing a strategic direction to enhance the public’s engagement with climate technologies and foster a more sustainable future.

Exploring medical students’ perceptions of telehealth in Pakistan: a cross-sectional study

IntroductionThis study aimed to investigate medical students’ perceptions of telehealth in Pakistan and assess the relationship between students’ proficiency in computers and technology, gender, and age.MethodsA cross-sectional study was conducted on 330 medical students from various universities in Karachi, Pakistan. Data on demographic characteristics, computer proficiency, and perceptions of telehealth were collected using a self-administered questionnaire. Descriptive statistics, chi-square tests, and Spearman’s rank correlation coefficient were utilized for data analysis.ResultsThe study included 330 participants, predominantly from public universities (83.3%), with a mean age of 21.40 ± 4.24 years. Most participants were pursuing MBBS (67%). In terms of computer proficiency, 41.8% fell into the middle category. Gender correlated significantly with proficiency (p < 0.05), with females more often in the middle category and males in the not-that-amateur category. Age demonstrated a small positive correlation with proficiency (p < 0.05). A majority (77.6%) expressed a general interest in technology. Regarding healthcare apps, 51.8% had 1–3 apps, and 33.6% had none. Most participants believed telehealth would enhance healthcare (72.1%) and make it cheaper (63.3%). Additionally, 56.7% agreed that Pakistan should invest in telehealth, while only 2.7% disagreed.ConclusionThe study revealed that medical students in Pakistan exhibit an interest in technology and perceive telehealth as beneficial. These findings suggest that telehealth holds the potential to enhance healthcare opportunities in Pakistan. Therefore, investing in and expanding telehealth services may represent a viable solution for improving access to healthcare in the country.

Exploring fermentative metabolic response to varying exogenous supplies of redox cofactor precursors in selected wine yeast species.

The use of non-Saccharomyces yeasts in winemaking is gaining traction due to their specific phenotypes of technological interest, including their unique profile of central carbon metabolites and volatile compounds. However, the lack of knowledge about their physiology hinders their industrial exploitation. The intracellular redox status, involving NAD/NADH and NADP/NADPH cofactors, is a key driver of yeast activity during fermentation, notably directing the formation of metabolites that contribute to the wine bouquet. The biosynthesis of these cofactors can be modulated by the availability of their precursors, nicotinic acid and tryptophan, and their ratio by that of thiamine. In this study, a multifactorial experiment was designed to assess the effects of these three nutrients and their interactions on the metabolic response of various wine yeast species. The data indicated that limiting concentrations of nicotinic acid led to a species-dependent decrease in intracellular NAD(H) concentrations, resulting in variations of fermentation performance and production of metabolic sinks. Thiamine limitation did not directly affect redox cofactor concentrations or balance, but influenced redox management and subsequently the production of metabolites. Overall, this study identified nicotinic acid and thiamine as key factors to consider for species-specific modulation of the metabolic footprint of wine yeasts.

Study on the influence of geometric characteristics of micro-periodic structures with slits on sound absorption properties

In recent years, there has been considerable interest in acoustic metamaterial technology that leverages sub-wavelength scale microperiodic structures to control the behavior of sound waves for sound absorption material development. This technology offers high design flexibility in unit shapes and holds promise for the development of sound absorption materials with diverse characteristics. However, the field remains in its foundational exploration phase, with the detailed relationship between geometric shapes and sound absorption properties yet to be fully elucidated. To address this gap, we conducted a thorough investigation focusing on their relationship by examining the transport parameters of the Johnson-Champoux-Allard-Lafarge-Pride (JCALP) model, which are closely associated with sound absorption properties. We designed a cubic lattice with slits on the incident surface of the unit shape as a microperiodic structure and examined the normal incident sound absorption characteristics using the finite element method. Our results indicate that manipulation of slit partition numbers and slit widths allows for control of transport parameters, suggesting the potential to achieve various sound absorption properties.

Tailoring iron MOF/carbon nanotube composites as flow electrodes for high-performance capacitive deionization

Capacitive deionization techniques are of interest in water treatment technology due to their low cost, excellent efficiency, and environmental friendliness. Currently, metal–organic frameworks are highly impactful candidates for use as electrode materials in electrochemistry. It provides a large pore volume, good chemical stability, and a high specific surface area. Tuning metal–organic frameworks with carbon materials will have a good impact on electrode materials with increasing performance. This study shows a facile and effective strategy for arranging flow capacitive desalination technology for salt removal. The conducting network of Fe-MOF/CNTs provides rapid electron transport and offers a high diffusion length of ions. This material exhibited excellent desalination performance, with a high salt adsorption of 80.575 mg/g at 1.6 V at an initial NaCl concentration of 1000 mg/L. Overall, the facile method and fabrication strategy greatly advances water treatment applications.

Complex nonlinear dynamics of a multidirectional energy harvester with hybrid transduction

Abstract Mechanical energy harvesting has increasing scientific and technological interests due to novel energetic challenges. A critical issue in classical cantilever-based mechanical energy harvesting systems is the lack of multidirectional energy conversion capabilities and, due to that, deviations from the excitation source can drastically reduce their performance. This limitation has led to the development of energy harvesters with attached pendula, serving as a direction coupling mechanism. Nevertheless, the pendulum structure itself can act as an energy absorber, drastically reducing the harvester performance in certain scenarios. In order to overcome this issue, a hybrid transduction multidirectional pendulum-based energy harvester is proposed integrating a piezoelectric element, to capture energy from the principal direction, and an electromagnetic transducer, to harness rotational energy from the pendulum. This paper presents an in-depth analysis of the hybrid multidirectional pendulum-based energy harvester using a nonlinear dynamics perspective to evaluate the energy harvesting performance. A reduced-order model is proposed to represent the essential characteristics of such systems. A parametric analysis using a nonlinear dynamics perspective is carried out to map the system dynamics and performance. The emergence of complex and rich dynamics is observed, including chaos and hyperchaos. Results reveal the most and least effective combinations of structural parameters in terms of energy conversion. Additionally, the dynamical responses and patterns associated with high performance are identified. These responses are often characterized by a blend of irregular complex behaviors, coupled with a mix of oscillatory and rotational patterns of motion, resulting in wider bandwidth systems.

On the hydrothermal features of MHD nanofluid flow over a differently shaped thin needle influenced by Hall current with nonlinear thermal radiation

PurposeThe investigation has appraised the problem of an incompressible laminar steady magnetohydrodynamic (MHD) nanofluid stream over three distinct slendering thin isothermal needles of paraboloid, cylindrical and cone shapes. Water as a base liquid is assumed in this flow model. The influences of the Hall current and variable sorts of magnetic forces have enriched our investigation. Energy and concentration expressions consist of thermophoresis and Brownian migration phenomena. The analysis of thermal and mass slips of the presumed model has also been performed.Design/methodology/approachA relevant transformation is implemented for the alteration of the leading partial differential equations (PDEs) to the equations with nonlinear ordinary form. Due to the strong nonlinearity of the foremost equations, the problem is solved numerically by embedding the well-known RK-4 shooting practice. The software MAPLE 2017 has been exploited in reckoning the entire computation. To enunciate the investigated upshots, some graphical diagrams have been regarded here. According to technological interest, we measured the engineering quantities like the Sherwood number, the coefficient of drag friction and the Nusselt number in tabular customs.FindingsThe obtained consequences support that Hall current intensifies fluid movement when the needle is in a cone shape, while the superior velocity is noticed for cylindrical-shaped needles. The transference of heat responds inversely along with the growths of thermal and mass slip factors.Originality/valueNo work has been performed on the flow model of radiated nanofluid over a variable-shaped thin needle under Hall current, the variable magnetic field and different slip factors.

Cognitive aspects of interaction in the “Human — Artificial Intelligence” system

Abstract The article, based on empirical and theoretical research, reveals the phenomenology of transformations of the human cognitive sphere when interacting with artificial intelligence. The analysis of the indicated changes in the cognitive sphere is carried out on the basis of the “Concept of cognitive multi-channel Human-Computer interaction” developed by us. The essence of this concept is that the interaction of the cognitive sphere of human and artificial intelligence is implemented on the basis of the actualization and formation of typical cognitive phenomena. These phenomena are considered systemically and multifunctionally, namely as relatively independent cognitive: types of interactions, stages, strategies, channels, ontologies. Within the conceptual and substantive framework of this concept, we distinguish the following types of cognition (channels, strategies, etc.): I – orientational-cognitive; II – subject-cognitive; III – communicative and cognitive; IV – cognitive and analytical; V – cognitive and hermeneutic; VI-cognitive-ontological; VII – cognitive and creative. The identification of the indicated types of cognitive interactions is aimed at its representation as a complex, dynamic, multidimensional, multichannel intellectual system, the features of which are significant for educational and sociocultural practices, as well as for further development of artificial intelligence technologies, including its functional orientation and specificity, ergonomics, architecture, design and features of the interface. A study was conducted among students of higher education institutions aimed at determining the cognitive specificity (structure) of interaction in the “Human – Artificial Intelligence” system. Based on the analysis of the results of the distribution of answers for each of the test questions and the interpretation of the results of the cluster analysis (the Canopy algorithm was used), the dominance of the “I – orientational-cognitive” type of interactions was determined, which indicates a rather significant but initial interest in artificial intelligence technologies. There is also a relatively even distribution of all other types of cognitive interactions. The above reveals the novelty and innovation of artificial intelligence technology. This correlates with the respondents having developed different types of cognition, namely: orientational, analytical-synthetic, conceptual, interpretive, ontological, creative thinking, and corresponding intellectual intentions and motivation to use artificial intelligence tools in various spheres of activity.

Patient interest in clinical trials and remote technology among a diverse oncology patient population.

389 Background: Existing research describes a number of barriers limiting cancer clinical trial enrollment, including time constraints and financial burden, particularly among under-represented populations. In this study, we sought to assess the relationship between the use of remote technology in clinical trials and patient interest in trial participation amongst oncology patients at an urban academic medical center. Methods: We administered a 60-question, cross-sectional, in-person survey to adult patients with a solid tumor or hematological malignancy diagnosis on active treatment at Columbia University Irving Medical Center between 1/2023 and 2/2024. The survey assessed patient demographics, telehealth access, and interest in using telehealth as part of routine care and clinical trials. Demographics including age, gender, race/ethnicity, marital status, income, insurance type, education level, and cancer type were self-reported. Results: The survey was administered to 100 oncology patients. The mean age was 61 years; 51% were female; 45% non-White and 23% identified as Hispanic. The majority (87%) reported having access to a computer or electronic device; 99% of those having internet access and 81% being somewhat or very comfortable using the internet. Forty seven percent of patients had been offered a cancer clinical trial by their oncology provider, and 19% had participated or were currently participating in a clinical trial. Of the 53% of patients who had not been offered a clinical trial or did not know, 64% reported they would consider participating in a trial recommended by their oncologist. Among all respondents, 52% of patients reported it would make no difference in their decision to participate in a trial if they learned about the risks and benefits remotely (phone or video), 28% were somewhat more or much more likely to participate learning about the risks and benefits remotely, and 20% were somewhat less or much less likely to participate under these conditions. Seventy five percent of respondents would be willing to sign consent for a trial remotely. Sixty four percent of respondents were not willing to spend over an hour traveling to a trial site, citing time, cost, family, and work obligations as reasons for limiting travel. The majority of respondents (&gt;50%) indicated that they would be more likely to participate if the trial used remote technology to decrease the need to travel to a trial site. Conclusions: In this cross-sectional study amongst a diverse patient population, we found that the majority of oncology patients on active treatment have access to telehealth, express interest in clinical trials despite barriers to participation, and would be more likely to enroll in trials if remote communication reduced the amount of travel time for trial participation. Decreasing the logistical burden of cancer clinical trials may increase patient access and diversity in trial participation.

Topological modes, vibration attenuation, and energy harvesting in electromechanical metastructures

The dynamics of topological boundary modes in both periodic and quasi-periodic electromechanical metastructures is investigated, with a focus on their applications to energy harvesting and vibration reduction. The metastructure analyzed in this study is based on a shunted array of piezoelectric patches, with electrical parameters modulated according to the 1D Aubry–André–Harper model. As a result of this modulation, a fractal spectrum is generated near the central frequency of the resonators, a hallmark of nontrivial topology that enables the emergence of digitally controllable edge states and ensuing localization phenomena at subwavelength frequencies. In this framework, a detailed analysis of the metastructure spectral characteristics is conducted to investigate the influence of the modulation parameters on mode localization, both at the boundaries and within the interior of the beam. Such localization effects are then studied in relation to the energy harvesting, attenuation, and wave transport capabilities of the system. These functionalities point toward the realization of self-powered structures with low frequency and digitally controllable vibration attenuation capabilities, and are considered of significant technological interest in applications involving elastic waves and vibrations, where the ability to precisely control and harness these phenomena could lead to innovative solutions in energy-efficient and adaptive systems.

Bridging the gap between high-entropy alloys and metallic glasses: Control over disorder and mechanical properties of coatings

High-entropy alloys (HEAs) and high-entropy metallic glasses (HEMGs) represent two intensively researched classes of materials with high technological interest for applications as functional coatings with high strength, hardness, toughness, and corrosion resistance. The distinctive structural difference between single-phase crystalline solid solutions for HEAs and liquid-like disorder for HEMGs generates a seemingly insuperable contrast. In this work, we demonstrate that we can deliberately choose between crystalline or glassy properties by introducing structural disorder in HfMoNbTiZr thin films of identical composition. Using pulsed laser deposition (PLD) at different growth conditions, we reproducibly tune the structure of HfMoNbTiZr coatings from crystalline to fully amorphous. We show that the level of disorder has a profound impact on the mechanical properties of the coatings using the hardness derived from nanoindentation measurements as an example. While the hardness of polycrystalline HfMoNbTiZr layers already exceeds the single-phase bulk value, the amorphous HfMoNbTiZr is even clearly harder, demonstrating a distinctive improvement with introducing disorder. Our findings bridge the two seemingly different concepts of HEAs and HEMGs and demonstrate that structural disorder is not a given material property. Instead, disorder can serve as a useful design parameter for customizing the properties of functional coatings.

Provolone del Monaco PDO cheese: Lactic microflora, biogenic amines and volatilome characterization

One commercial production run of Provolone del Monaco − a long-ripened pasta filata cheese − was followed up to the end of ripening for a total of 20 samples. 371 LAB isolates were subject to genetic characterization followed by 16S rRNA gene sequencing. The dominant species were Lacticaseibacillus casei/paracasei (19.4 %), Streptococcus macedonicus (19.1 %) and Enterococcus faecalis (13.2 %). Strains were screened for features of technological interest or safety relevance. Tyramine-producing cultures were quite common, above all within enterococci. By MALDI TOF Mass Spectrometry, one Lactococcus lactis and one Enterococcus faecium strain proved to be bacteriocin producers.Four further cheese wheels from the same production run at 623 days of ripening were evaluated for volatile organic compounds, biogenic amines, and bacterial community by metagenomic sequencing. Three individual wheel samples shared a rather similar microbiome with Lactobacillus delbrueckii and Streptococcus thermophilus as the most represented species, while the fourth wheel appeared wholly different being dominated by Lentilactobacillus buchneri and St. infantarius. Additionally, this sample had the greatest content of biogenic amines and a different VOCs composition.Given the variance seen among cheese wheels processed and ripened under the same conditions, the search for adjunct cultures in the production of this cheese seems to be of utmost importance.

Circular Economy and Sustainable Technology in Technical and Vocational Education and Training: A Bibliometric Analysis

The integration of circular economy and sustainable technology in technical and vocational education and training (TVET) is essential to foster environmentally conscious practitioners who are able to prepare the workforce for sustainable development. Despite the growing interest in circular economy and sustainable technology, a comprehensive understanding of the research landscape in the context of the growth of TVET education is still lacking. This research maps the scholarly output, identifies key themes and assesses global research collaborations in the integration of circular economy and sustainable technology in TVET. A bibliometric analysis using the Scopus database was conducted, focusing on publication trends, authorship patterns, keyword co-occurrence, and geographic distribution. Bibliometric analysis revealed a growing interest in circular economy and sustainable technology in TVET education, with a significant increase in publications over the past decade. Prolific authors and collaborative networks were identified and thematic clusters clarified core research areas, contributing to the knowledge base needed for sustainable workforce development. These findings emphasize the importance of circular economy and sustainable technology integration in TVET education and highlight the need for continued interdisciplinary collaboration. This bibliometric analysis serves as a valuable resource for educators, researchers and policy makers, guiding future efforts to increase the global impact of circular economy and sustainable technology in TVET education.

Predictive analytics, operational efficiency, and revenue growth in SMEs in Africa

Predictive analytics (PA) is used for a variety of objectives, including optimisation, planning, strategy development, and resource management, all to improve performance. PA also helps organisations and customers communicate more effectively. Managers may increase customer satisfaction by integrating data on consumer preferences and experiences. Despite increased interest in PA technologies, there is still a considerable study gap in understanding its influence on small and medium-sized enterprises (SMEs) operational efficiency and revenue growth in Sub-Saharan Africa. Hence, the survival of SMEs as key drivers of economic growth and development in Sub-Saharan necessitated this study. The study investigates the influence of predictive analytics on operational efficiency and revenue growth of SMEs in Accra, Ghana, and Lagos, Nigeria. Acknowledging both cities as main commercial centres in their respective nations Using a cross-sectional and survey research approaches, the study sent 150 copies of questionnaire to SMEs in each of the cities using purposive sampling techniques, therefore guaranteeing a focus on key economic centres. Under the guidance of four research assistants in each city monitoring distribution and collection, data were gathered online over two months. The results showed that predictive analytics has positive and significant effect on both operational efficiency and revenues growth of SMEs. The study recommended that SMEs should give training to their staff top priority as well as build the required infrastructure to make the best use of predictive analytics. This entails not just purchasing cutting-edge analytics tools and technology but also making sure staff members have the ability to understand and act upon data-driven insights. Building a solid basis in predictive analytics can help SMEs better use data to maximise operations, foresee trends, and make wise strategic choices, thereby promoting higher efficiency and income development

Innovations in teaching: analysis of scientific publications in the Scopus database

The article analyzes scientific works related to innovative technologies in education. The increase in the number of publications in the Scopus database from 2000 to 2023 confirmed the relevance of the proposed topic. The purpose of the study is to identify the main trends and directions in this field based on a systematic review of 6653 scientific articles identified by the keywords “innovation” and “learning” from the Scopus database. The research methodology includes data collection and analysis using SPSS to determine the growth dynamics of scientific publications, as well as geographic and industry distribution. The theoretical significance lies in expanding knowledge about innovative technologies in education and forming the multidisciplinary nature of this field. The increase in the number of publications identified as a result of the study from 136 works in 2000 to 3255 in 2023 indicates an increased scientific interest in innovative technologies in the field of education in the global space.

Current developments and advancements of 3-dimensional printing in personalized medication and drug screening.

3-Dimensional printing (3DP) is an additive manufacturing (AM) technique that is expanding quickly because of its low cost and excellent efficiency. The 3D printing industry grew by 19.5 % in 2021 in spite of the COVID-19 epidemic, and by 2026, the worldwide market is expected to be valued up to 37.2 billion US dollars. Science Direct, Scopus, MEDLINE, EMBASE, PubMed, DOAJ, and other academic databases provide evidence of the increased interest in 3DP technology and innovative drug delivery approaches in recent times. In this review four main 3DP technologies that are appropriate for pharmaceutical applications: extrusion-based, powder-based, liquid-based, and sheet lamination-based systems are discussed. This study is focused on certain 3DP technologies that may be used to create dosage forms, pharmaceutical goods, and other items with broad regulatory acceptance and technological viability for use in commercial manufacturing. It also discusses pharmaceutical applications of 3DP in drug delivery and drug screening. The pharmaceutical sector has seen the prospect of 3D printing in risk assessment, medical personalisation, and the manufacture of complicated dose formulas at a reasonable cost. AM has great promise to revolutionise the manufacturing and use of medicines, especially in the field of personalized medicine. The need to understand more about the potential applications of 3DP in medical and pharmacological contexts has grown over time.