Development Of Tools Research Articles

GIS and Bhuvan Data as Tools for Agricultural Development and Economic Empowerment in Pune District

This paper examines the use of Geographic Information Systems (GIS) and Bhuvan data to enhance agricultural development and drive economic empowerment in Pune District, Maharashtra, India. GIS technology has been instrumental in optimizing water management, land utilization, and crop management. Likewise, Bhuvan data plays a critical role in monitoring crop growth, identifying diseases, and evaluating land use patterns. These advancements contribute to improved crop yields and increased profits for farmers. The paper highlights the significant impact of GIS and Bhuvan data in promoting agricultural progress in Pune district and suggests that these tools could be effectively implemented in other regions to achieve similar benefits.

A Virtual Reality Tool for Accuracy Assessment of 3D Models in an Immersive Virtual Environment

Abstract. Accurate validation and assessment techniques are essential for ensuring the reliability of spatial reconstructions derived from photogrammetry, enabling well-informed decision-making across diverse domains. This study presents a Virtual Reality (VR) based accuracy assessment tool tailored for evaluating the accuracy and quality of 3D models generated by Unmanned Aerial Vehicles (UAVs). Leveraging the Unity game engine platform, our workflow entails three key steps: aligning real-world coordinates with an arbitrary Unity coordinate system, transforming the positions of Ground Control Points (GCPs) from field survey to the arbitrary system using a reference GCP, and marking observed points on the 3D models. Absolute and Relative Root Mean Square Errors (RMSE), Mean Errors (ME), and Standard Deviation of errors (SD) are computed within the virtual environment via the game object transform properties. The error distributions around each GCP are visually depicted using Unity game engine components for enhanced interaction and comprehension. The efficacy of the tool is validated through experimentation on four 3D models generated from varying camera angles during UAV data capture. The tool provides the opportunity to directly interact with the 3D models and visualize the errors, which is quite distinct from traditional methods. Using the developed tool, results were obtained to indicate that configurations employing camera angles of 60° + 75º exhibit notable performance in terms of relative and absolute accuracy.

The 21st Century Management Skills for Educational Institution Administrators under the Jurisdiction of the Ubon Ratchathani Secondary Educational Service Area Office, Amnat Charoen

Background and Aims: Education is an important tool for human, social, and national development. It is the main mechanism for creating a quality workforce. Able to live happily with others in society. At a time when the world is changing rapidly in the 21st century, this research has the following objectives: 1) to study and analyze the management skills in the 21st century of Educational Institution Administrators under the Ubon Ratchathani and Amnat Charoen Secondary Educational Service Area Offices. 2) To compare the management skills in the 21st century among administrators of educational institutions under the same affiliation. Classified by position education level and the size of the educational institution. 3) To study and find ways to develop management skills in the 21st century of educational institution administrators in those areas. Methodology: The sample used in this research consisted of 351 school administrators and teachers. The sample size was determined according to Krejci and Morgan's table. and used the random sampling method. The research instrument was a questionnaire with a 5-level rating scale. Which has a consistency index between 0.80 and 1.00 and the total reliability of the questionnaire is 0.89. Statistics used in data analysis include frequency, percentage, mean, standard deviation, T-value and F-value tests. Results: The results of the research are as follows: (1) Management skills in the 21st century of administrators of educational institutions under the Secondary Educational Service Area Office, Ubon Ratchathani and Amnat Charoen, overall it is at a high level. (2) Results of comparing opinions about management skills in the 21st century among administrators of educational institutions under the same affiliation. Divided by position Education level and the size of the educational institution. It was found that overall and in each aspect there were no differences. (3) Guidelines for promoting management skills in the 21st century of school administrators in the Ubon Ratchathani Secondary Educational Service Area Office consist of 5 areas: 1) communication skills, 2) relationship-building skills, 3) technology and digital skills, 4) vision setting skills, and 5) analytical thinking and creative thinking skills. Conclusion: According to the research, educational institution administrators in the twenty-first century working for the Secondary Educational Service Area Office of Ubon Ratchathani and Amnat Charoen have generally high management skills. There were no significant differences in management skills across positions, educational levels, or institution size. To improve these abilities, the study suggests focusing on five key areas: communication, relationship building, technology and digital skills, vision setting, and analytical and creative thinking.

Comparative transcriptomic analysis validates iPSC derived in-vitro progressive fibrosis model as a screening tool for drug discovery and development in systemic sclerosis.

Systemic sclerosis (SSc) is an autoimmune disease characterized by vasculopathy, immune dysregulation, and systemic fibrosis. Research on SSc has been hindered largely by lack of relevant models to study the progressive nature of the disease and to recapitulate the cell plasticity that is observed in this disease context. Generation of models for fibrotic disease using pluripotent stem cells is important for recapitulating the heterogeneity of the fibrotic tissue and are a potential platform for screening anti-fibrotic drugs. We previously reported a novel in-vitro model for fibrosis using induced pluripotent stem cell-derived mesenchymal cells (iSCAR). Here we report the generation of a "scar-like phenotype" when iPSC derived mesenchymal cells are cultured on hydrogel that mimicks a wound healing/scarring response (iSCAR). First, we performed RNA sequencing (RNA-seq) based transcriptome profiling of iSCAR culture at 48h and 13days to characterize early and latestage scarring phenotypes. The next generation RNA-seq of these iSCAR culture at different timepoints detected expression 92% of early "scar associated" genes and 85% late "scar associated" genes, respectively. Comparative transcriptomic analysis of a gene level SSc compendium matrix to the iSCAR wound associated model revealed genes common in both data sets. Early scar formation genes showed biological processes of hypoxia (27.5%), vascular development (13.7%) and glycolysis (27.5), while late scar formation showed genes associated with senescence (22.6%). Next we show the effects of two different antifibrotic compounds to validate the utility of the model as a screening tool to study early and late-stagelate-stage fibrosis. An autotaxin inhibitor was used to validate the iSCAR late stage fibrotic model (iSCAR-T) and an antifibrotic tool screening compound of unknown mechanism (EX00015097) was used to study and validate both early (iSCAR-P) and late-stage (iSCAR-T) fibrosis in the iSCAR model.

Efficacy of an erector spinae plane block for renal colic: a systematic review and meta-analysis

Background and aimThe passage of kidney stones through the ureter creates renal colic, a severe visceral abdominal pain. Renal colic is typically managed with non-steroidal anti-inflammatory drugs and opioids. Yet,...

Transcriptome-Optimized Hydrogel Design of a Stem Cell Niche for Enhanced Tendon Regeneration.

Bioactive hydrogels have emerged as promising artificial niches for enhancing stem cell-mediated tendon repair. However, a substantial knowledge gap remains regarding the optimal combination of niche features for targeted cellular responses, which often leads to lengthy development cycles and uncontrolled healing outcomes. To address this critical gap, an innovative, data-driven materiomics strategy is developed. This approach is based on in-house RNA-seq data that integrates bioinformatics and mathematical modeling, which is a significant departure from traditional trial-and-error methods. It aims to provide both mechanistic insights and quantitative assessments and predictions of the tenogenic effects of adipose-derived stem cells induced by systematically modulated features of a tendon-mimetic hydrogel (TenoGel). The knowledge generated has enabled a rational approach for TenoGel design, addressing key considerations, such as tendon extracellular matrix concentration, uniaxial tensile loading, and in vitro pre-conditioning duration. Remarkably, our optimized TenoGel demonstrated robust tenogenesis in vitro and facilitated tendon regeneration while preventing undesired ectopic ossification in a rat tendon injury model. These findings shed light on the importance of tailoring hydrogel features for efficient tendon repair. They also highlight the tremendous potential of the innovative materiomics strategy as a powerful predictive and assessment tool in biomaterial development for regenerative medicine.

Neuroimaging-Based Brain Morphometry in Alzheimer’s Disease

Background/Objectives: Alzheimer’s disease (AD) is a leading cause of death worldwide, affecting millions of older Americans and resulting in a substantial economic burden. The Alzheimer’s Disease Neuroimaging Initiative (ADNI) aims to investigate and develop treatments for AD. Methods: This study included 60 participants, divided equally into AD and control cohorts, and utilized magnetic resonance imaging (MRI) scans to detect gray matter volumetric alterations, a key biomarker of AD. The participants’ cortical volume and surface area were quantified using an automated pipeline in MIMICS (Materialise Interactive Medical Imaging Control System). Results: A multivariate regression analysis was conducted to explore the relationship between cortical measurements and potential factors influencing AD susceptibility. The study found that both cortical volume and surface area were statistically significant predictors of AD (p = 0.0004 and p = 0.011, respectively). Age was also a significant factor, with the 65–70 age group showing the strongest association (p < 0.001). The model achieved an accuracy of 0.68 in predicting AD. Conclusions: While voxel-based morphometry (VBM) using MIMICS showed promise, further development of the automated pipeline could enhance accuracy and correlation indices. These findings contribute to our understanding of brain atrophy in AD pathophysiology and highlight the potential of MRI morphometry as a tool for AD biomarker development.

Psychometric evaluation of the Swedish version of ages and stages questionnaire social-emotional: second edition for parents of children 18 months of age

BackgroundSocial and emotional development are important aspects of young children’s well-being but can be difficult to assess during the first years of life. The Ages and Stages Questionnaire: Social-Emotional Second Edition (ASQ:SE-2) is a parent-rated assessment tool for child socioemotional development between 1 and 72 months of age. In this study, we examined the psychometric properties of this instrument in 18-month-old Swedish children.MethodsData from 586 Swedish-speaking parents of 18-month-old children were included. In addition to the ASQ:SE-2, parents also completed the Social-Emotional Assessment/Evaluation Measure (SEAM), and the child’s socioemotional development was assessed by a nurse at the Child Health Services. We used exploratory factor analysis and Rasch methodology to explore dimensionality and item properties of the ASQ:SE-2. Furthermore, we used Pearson and Spearman rank correlations to study associations with the SEAM and the nurse assessment.ResultsAn exploratory factor analysis suggested a one-factor model for the ASQ:SE-2 items. However, several items showed weak factor loadings, and a final scale including 18 of the original 29 items was further explored. The Rasch analysis revealed problems with targeting, and the final scale showed acceptable reliability only in the 22% with the highest levels of socioemotional difficulties. The total score of the final version showed a strong association with the parent-rated SEAM but a weak association with the nurse observations. We labeled the reduced 18-item scale Social Interaction.ConclusionsThe results of this study highlight that the original Swedish version of the ASQ:SE-2 for 18-month-old children may not be an adequate tool for assessing social and emotional competencies in a normal population since acceptable reliability was reached only in children with the greatest difficulties (above the 78th percentile). In conclusion, the suggested 18-item version works best either as a screening instrument for problems with social interaction or as a continuous measure of such problems in children with high levels of social interaction difficulties.

Effectiveness of Acupuncture in Improving Quality of Life for Patients with Advanced Cancer: A Systematic Review and Meta-Analysis.

To investigate the effect of acupuncture on advanced cancer patients by meta-analysis. Nine databases (the Cochrane Central Register of Controlled Trials, MEDLINE, Web of Science, Embase, China National Knowledge Infrastructure, the Cumulative Index to Nursing and Allied Health Literature, Chinese Biomedical Literature Database, China Science and Technology Journal Database, and WanFang Data) were searched for randomized controlled trials (RCTs) on acupuncture in advanced cancer patients published from inception to February 13, 2023 and updated to June 1, 2023. Primary outcomes were quality of life (QOL), while secondary outcomes were pain, fatigue, and adverse events (side effects). Data synthesis was performed using RevMan V.5.3 to calculate pooled effect sizes. RoB-2 was used for the risk of bias, and the quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. Totally 17 RCTs involving 1,178 participants were included, 15 of which were pooled for meta-analysis. Most studies demonstrated some concern for the overall risk of bias. The pooled data indicated that acupuncture was associated with improved QOL [mean difference (MD)=6.67, 95% confidence interval (CI): 5.09 to 8.26], pain (MD=-1.18, 95% CI -2.28 to -0.08), and adverse events (risk ratio=0.30, 95% CI: 0.26 to 0.57) compared with control groups. Fatigue outcome was not included. Heterogeneity was substantial, and GRADE evidence was very low for both QOL and pain. Acupuncture could benefit patients with advanced cancer and is considered safe compared with usual care. However, the evidence regarding QOL and pain outcomes requires further validation. It is crucial to encourage the development of high-quality studies to strengthen this evidence. (Registry No. CRD42023423539).

Assessment of the use of remittances as a community development tool in Abia State, Nigeria

Assessment of the use of remittances as a community development tool in Abia State, Nigeria

Effectiveness of lower limb robotic rehabilitation on peak of oxygen uptake among patients with stroke: a systematic review and meta-analysis

ObjectivesTo evaluate the effectiveness of lower limb robotic rehabilitation (LLRR) on cardiovascular health among individuals with stroke undergoing rehabilitation.DesignSystematic reviews and meta-analysis.Data sourcesPubMed, Web of Science, Science Direct, Embase, China...

Regenerative Development Approaches Involving Tourism: Insights Derived from Place

ABSTRACT With the rise of questioning whether it is acceptable for capitalism and economic growth to drive tourism development, alternative development approaches are emerging. This paper draws insights from two research projects investigating tourism’s contributions to developing healthy urban social-ecological systems. In recent years, a surge of interest by tourism scholars has driven increased publications about the approach commonly referred to as “regenerative tourism”. Two research designs that used qualitative case studies were applied and analysed using a post-development lens. Critical findings from both studies centre urban places in the analysis and consider the applicability of a regenerative (tourism) development approach for transforming the health of urban places. This paper challenges the notion that “tourism is primarily an economic phenomenon” and argues that in alignment with the regenerative development lineage, tourism as a tool for development must be designed from place rather than economies.

Overview of Publications on Payment for Environmental Services: Focus on Brazilian Contributions

Objective: This study aims to analyze publications on Payment for Environmental Services (PES), with a focus on Brazil's leadership and the evaluation of case studies, empirical and theoretical research in the Web of Science and SciELO databases up to April 2024. Theoretical Framework: PES is discussed as a tool for environmental conservation and sustainable development, emphasizing challenges such as social inclusion and participatory governance. Method: A systematic literature review was conducted, focusing on publications indexed in the Web of Science and SciELO databases up to April 2024. The exploratory research employed both quantitative and qualitative methodologies in data analysis. Results and Discussion: The analysis revealed that Brazil plays a prominent role in PES publications, both nationally and internationally. Within the Brazilian context, the states of São Paulo and Minas Gerais stand out, with the Conservador das Águas project in Extrema frequently cited in the literature. Research Implications: The results provide a foundation for the development of public policies aimed at expanding PES initiatives in Brazil. Mapping existing projects can encourage the replication of best practices and foster research in underexplored areas, promoting climate mitigation strategies. Originality/Value: This study contributes to the literature by identifying and mapping PES projects, providing valuable insights for the formulation of strategies aimed at improving climate conditions.

Development and Application of an Employee Moral Quotient (MQ) Evaluation Index System for Chinese Petroleum Enterprises

Recognizing the critical role of oil and gas resources as strategic assets and acknowledging the increasing emphasis on green development and social responsibility driven by international energy agreements and the “dual carbon” strategy, this study addresses the urgent need for a robust employee evaluation framework within China’s petroleum sector. While existing systems often prioritize competence-based indicators, they frequently overlook the crucial aspect of employee Moral Quotient (MQ). This research focuses on developing and validating a holistic, scientifically grounded, multi-dimensional, and dynamic MQ evaluation index system tailored specifically for Chinese petroleum enterprises. The study employed a mixed-methods approach, integrating a comprehensive literature review, semi-structured interviews with industry experts, and robust quantitative techniques, including the Analytic Hierarchy Process (AHP) and the entropy weight method. A two-round Delphi study, involving 18 experts from six provinces across China, ensured broad representation and facilitated the construction of the evaluation index system and the determination of indicator weights. The Delphi process achieved a high degree of expert consensus, evidenced by a 100% questionnaire response rate in both rounds, expert authority coefficients of 0.851 and 0.879, respectively, and Kendall’s coefficient of concordance of 0.243 and 0.247 (p < 0.01), respectively, demonstrating strong reliability and scientific validity. The resulting MQ evaluation index system comprises eight first-level indicators and thirty-three s-level indicators, encompassing key dimensions of employee morality relevant to the petroleum industry. This comprehensive system provides a robust and objective tool for employee selection, training, performance evaluation, and career development within Chinese petroleum enterprises, supporting informed decision-making in human resource management and fostering a culture of ethical conduct and sustainable development. Furthermore, the developed framework offers valuable insights and serves as a potential model for petroleum enterprises and other resource-intensive industries globally seeking to integrate MQ assessment into their human capital management strategies.

Sequence Flow: interactive web application for visualizing partial order alignments

BackgroundMultiple sequence alignment (MSA) has proven extremely useful in computational biology, especially in inferring evolutionary relationships via phylogenetic analysis and providing insight into protein structure and function. An alternative to the standard MSA model is partial order alignment (POA), in which aligned sequences are represented as paths in a graph rather than rows in a matrix. While the POA model has proven useful in several applications (e.g. sequencing reads assembly and pangenome structure exploration), we lack efficient visualization tools that could highlight its advantages.ResultsWe propose Sequence Flow – a web application designed to address the above problem. Sequence Flow presents the POA as a Sankey diagram, a kind of graph visualisation typically used for graphs representing flowcharts. Sequence Flow enables interactive alignment exploration, including fragment selection, highlighting a selected group of sequences, modification of the position of graph nodes, structure simplification etc. After adjustment, the visualization can be saved as a high-quality graphic file. Thanks to the use of SanKEY.js – a JavaScript library for creating Sankey diagrams, designed specifically to visualize POAs, Sequence Flow provides satisfactory performance even with large alignments.ConclusionsWe provide Sankey diagram-based POA visualization tools for both end users (Sequence Flow) and bioinformatic software developers (SanKEY.js). Sequence Flow webservice is available at https://sequenceflow.mimuw.edu.pl/. The source code for SanKEY.js is available at https://github.com/Krzysiekzd/SanKEY.js and for Sequence Flow at https://github.com/Krzysiekzd/SequenceFlow.

Evolution of Theatrical Culture of Ukraine in the context of National Identity

The purpose of the article is to analyse the main aspects in the evolution of theatrical culture in Ukraine in the context of the formation and preservation of national identity. The research methodology is based on a combination of different approaches, including historical, sociocultural and artistic analysis of theatrical events and their interaction with political, sociocultural and economic factors. The historical approach enabled the author to trace the main stages of the development of theatrical culture in Ukraine, in particular the influence of political and social conditions on the formation of the national theatre. The artistic analysis enabled focusing on the aesthetic aspects of theatrical creativity, and the socio-cultural approach – to investigate the relationship between the theatre and society. Scientific novelty. The study is groundbreaking in its analysis of the impact of contemporary events, such as Euromaidan 2014 and the full-scale invasion of 2022, on Ukrainian theatre culture, as well as exploring the process of de-Russification in theatre. In addition, the article emphasises the role of individual artists and the development of modern drama, which underlines the theme of war and national identity. Conclusions. The process of formation of national identity in Ukraine in the context of historical events and cultural transformations was highlighted. Despite the various prohibitions of the desire to destroy national identity, the activities of outstanding national figures, in particular theatre figures, have always popularised Ukrainian culture. A promising direction in the development of theatre culture is to take into account all mental and ideological differences within the framework of Ukrainian values, since every Ukrainian is currently rethinking the question of their identity. The evolution of Ukrainian theatrical culture is an integral part of the process of formation and preservation of national identity. The theatre itself is an important tool of socio-cultural development, which helps Ukrainian society to realise its uniqueness and preserve its cultural heritage.

Referral pathway and competency profiles of primary care physiotherapists and kinesiologists for physical activity interventions for diabetes: a modified Delphi study

BackgroundHigh quality diabetes care is an essential service in primary care settings since the prevalence and associated complications of diabetes is increasing. Physical activity is effective for the prevention and management of diabetes yet is underutilized in diabetes care. Exercise professionals have specialized skills to deliver physical activity interventions, but effective interprofessional collaboration for diabetes care requires role clarity. This study established the competencies of entry-level physiotherapists and kinesiologists for physical activity interventions for diabetes care in primary care settings and used these competencies to develop clinical tools to promote role clarity in interprofessional care teams.MethodsWe used a modified Delphi process. Eleven physiotherapy and three kinesiology subject matter experts participated in two rounds of Delphi surveys to develop discipline and context specific competencies. These competencies were used to draft competency profiles and a referral pathway tool. Eleven of the participants then participated in a focus group for member-checking of the tools. Descriptive statistics and content analysis were used to analyze quantitative and qualitative data respectively.ResultsThe modified Delphi process resulted in 38 physiotherapy and 27 kinesiology competencies that identify the distinct roles of physiotherapists and kinesiologists in delivering physical activity interventions for diabetes care. The physiotherapy competencies describes their unique role in supporting people with all types of diabetes to engage in physical activity despite complex medical or physical barriers. The kinesiology competencies indicate where these professionals may require additional training, especially when working with people living with type 1 diabetes or who are pregnant. All developed tools had good face validity and were seen to be potentially useful tools by the subject matter experts.ConclusionsThe findings highlight that both physiotherapists and kinesiologists have fundamental skills and abilities to deliver physical activity interventions to people living with diabetes, but that different exercise professionals may be needed depending on the complexity of the clinical profile. The developed clinical tools support improved interprofessional collaboration by clarifying physiotherapy and kinesiology roles in delivering physical activity interventions for diabetes care and highlighting how the two distinct professions can contribute to addressing the growing diabetes epidemic in primary care.

Cloud-Enabled Mobile-Based Approach for Enhancing Psychosis Cognitive Assessment.

The study aims to assess the feasibility of developing cognitive tools and integrating the cloud-enabled mobile-based technology into routine clinical practice for psychotic patients. Furthermore, it aims to investigate the correlation between the results obtained using developed tools and established clinical measures, offering valuable insights into tools for enhancing the accuracy, efficiency and ease of administration of cognitive evaluation. A total of 160 participants were recruited (83 outpatients with early course of schizophrenia (SZs) and 77 healthy controls [HCs]). The participants were subjected to cognitive assessments, and the data were collected by cognitive assessment digital smart tool (CADST) and PGI memory scale (PGIMS) to assess attention (ATT) and working memory (WM). Outcome measures of these parameters were digit span (score,time) for ATT and delayed recall (score,time) for WM. The total average score in HCs was significantly higher than in SZs for ATT and WM, and CADST was significantly correlated with PGIMS for evaluating ATT and WM. Furthermore, test completion times for ATT and WM were observed more in SZs although most of SZs had achieved scores as high as that of HCs. The potential of CADST as a valuable addition to the conventional cognitive assessment method is highlighted, showing promising feasibility and strong correlations with the established tool. The importance of integrating time parameters suggests broader implications for understanding cognitive function beyond conventional scoring metrics. It demonstrates the effective and accurate approach for large-scale screening of cognitive parameters in public service settings.

Credit Risk Assessment and Financial Decision Support Using Explainable Artificial Intelligence

The greatest technological transformation the world has ever seen was brought about by artificial intelligence (AI). It presents significant opportunities for the financial sector to enhance risk management, democratize financial services, ensure consumer protection, and improve customer experience. Modern machine learning models are more accessible than ever, but it has been challenging to create and implement systems that support real-world financial applications, primarily due to their lack of transparency and explainability—both of which are essential for building trustworthy technology. The novelty of this study lies in the development of an explainable AI (XAI) model that not only addresses these transparency concerns but also serves as a tool for policy development in credit risk management. By offering a clear understanding of the underlying factors influencing AI predictions, the proposed model can assist regulators and financial institutions in shaping data-driven policies, ensuring fairness, and enhancing trust. This study proposes an explainable AI model for credit risk management, specifically aimed at quantifying the risks associated with credit borrowing through peer-to-peer lending platforms. The model leverages Shapley values to generate AI predictions based on key explanatory variables. The decision tree and random forest models achieved the highest accuracy levels of 0.89 and 0.93, respectively. The model’s performance was further tested using a larger dataset, where it maintained stable accuracy levels, with the decision tree and random forest models reaching accuracies of 0.90 and 0.93, respectively. To ensure reliable explainable AI (XAI) modeling, these models were chosen due to the binary classification nature of the problem. LIME and SHAP were employed to present the XAI models as both local and global surrogates.

Promising tools for future drug discovery and development in antiarrhythmic therapy.

Arrhythmia refers to irregularities in the rate and rhythm of the heart, with symptoms spanning from mild palpitations to life-threatening arrhythmias and sudden cardiac death (SCD). The complex molecular nature of arrhythmias complicates the selection of appropriate treatment. Current therapies involve the use of antiarrhythmic drugs (class I-IV) with limited efficacy and dangerous side effects and implantable pacemakers and cardioverter-defibrillators with hardware-related complications and inappropriate shocks. The number of novel antiarrhythmic drug in the development pipeline has decreased substantially during the last decade and underscores uncertainties regarding future developments in this field. Consequently, arrhythmia treatment poses significant challenges, prompting the need for alternative approaches. Remarkably, innovative drug discovery and development technologies show promise in helping advance antiarrhythmic therapies. Here, we review unique characteristics and the transformative potential of emerging technologies that offer unprecedented opportunities for transitioning from traditional antiarrhythmics to next-generation therapies. We assess stem cell technology, emphasizing the utility of innovative cell profiling using multi-omics, high-throughput screening, and advanced computational modeling in developing treatments tailored precisely to individual genetic and physiological profiles. We offer insights into gene therapy, peptide and peptibody approaches for drug delivery. We finally discuss potential strengths and weaknesses of such techniques in reducing adverse effects and enhancing overall treatment outcomes, leading to more effective, specific, and safer therapies. Altogether, this comprehensive overview introduces innovative avenues for personalized rhythm therapy, with particular emphasis on drug discovery, aiming to advance the arrhythmia treatment landscape and the prevention of SCD. Significance Statement Arrhythmias and sudden cardiac death account for 15-20% of deaths worldwide. However, current antiarrhythmic therapies are ineffective and with dangerous side effects. Here, we review the field of arrhythmia treatment underscoring the slow progress in advancing the cardiac rhythm therapy pipeline and the uncertainties regarding evolution of this field. We provide information on how emerging technological and experimental tools can help accelerate progress and address the limitations of antiarrhythmic drug discovery.