Research Paradigm Research Articles

Assessing the Impact of Non-Interest Banking on Financial Inclusion: A Study of Selected States in Nigeria

This paper investigated the transformative potential of non-interest banking on financial inclusion within selected Nigerian states. Non-interest banking, grounded in Islamic principles, has garnered substantial scholarly attention across Muslim-majority nations. However, its nuanced effects on financial inclusion in Nigeria necessitated comprehensive examination. This study sought to address this gap by scrutinizing the intricate dynamics and discerning whether non-interest banking engenders heightened financial inclusion and socio-economic advancement. Interrogating the linkages between accessibility of non-interest banking services, individuals' attitudes toward non-interest banking, customer satisfaction, government support, trustworthiness of non-interest banks, and their collective impact on financial inclusion constitutes the focal point of inquiry. The study adopted a quantitative research paradigm, employing purposive random sampling to solicit responses from 380 participants encompassing Nigeria's diverse geopolitical zones. A tailored questionnaire, informed by extant scholarship, was meticulously administered, with data analysis done using Structural Equation Modeling (SEM) facilitated by SmartPLS v3.2.7. The findings underscored that customer satisfaction, perceived government support, and trustworthiness of non-interest banks significantly and positively influence financial inclusion. Nevertheless, the nexus between accessibility of non-interest banking services and attitudes toward non-interest banking with financial inclusion did not attain statistical significance within this model. The research attains an R2 value of 0.704 for financial inclusion, signifying an explanatory capacity of 70.4%. This research extended valuable insights for policy formulation and decision-making, by accentuating the pivotal role of customer-centric strategies, governmental endorsement, and credibility in amplifying financial inclusion through non-interest banking channels. Keywords: Non-interest banking, financial inclusion, Nigeria, Structural Equation Modeling

THE CIRCULAR ECONOMY AND SUSTAINABLE DEVELOPMENT: IMPLICATIONS FOR THE SOCIAL SCIENCES

Recent years have seen an increase in interest in the circular economy (CE) in science and practice. In both cases, the benchmark for an activity is the degree of environmental degradation. CE is a concept based on sustainable development, taking into account the balance of three areas: environmental, economic, and social. While the first two are relatively well described and measurable by quantitative indicators, the third is still not satisfactorily represented in science and practice. To embed CE in scientific discourse, it seems appropriate to use the umbrella concept, which implies the integration of different fields and disciplines into new research areas. This article focuses on the social aspect, emphasizing the role of management sciences, which, with the selection of appropriate methods, can be the key to studying and describing this area. The purpose of this article is to try to select a research paradigm for the social aspect of CE, so that the concept fits more fully into the assumptions of sustainable development.

The effect of school interpersonal relationship quality on adolescent depression: the role of perceived stress and OXTR gene

ABSTRACT Based on ecological systems theory and the genetic and environmental research paradigm, the current study explored the effect of school interpersonal relationship quality (peer and teacher-student) on adolescent depression and the role of perceived stress and the OXTR gene. Based on the statistical power of previous G*E interaction studies, A follow-up survey was conducted with 603 Chinese adolescents (average age = 14.76 ± 0.72 years at the time of the initial measurement; range: 13 to 15) using a questionnaire method (Short Form of the Center for Epidemiological Studies Depression Scale, The Chinese version of Perceived Stress Scale, short form of Friendship Quality Questionnaire and Teacher-student Relationship) and DNA typing technique. The study found that (1) school interpersonal relationship quality influenced adolescent depression; (2) perceived stress fully mediated the relationship between school interpersonal relationship quality and adolescent depression; (3) the OXTR gene rs2254298 and rs53576 polymorphisms moderated both the direct pathway and the second half of the indirect pathway. Specifically, individuals carrying the rs2254298 polymorphism A/G genotype and the rs53576 polymorphism A genotype exhibited a significantly enhanced effect of interpersonal relationship quality and perceived stress on adolescent depression, supporting the differential susceptibility model.

Artificial Intelligence and Machine Learning in Legal Research: A Comprehensive Analysis

This paper conducts a thorough investigation into the profound ramifications of Artificial Intelligence (AI) and Machine Learning (ML) on legal proceedings and the justice system. It assesses how these technologies are reshaping existing legal structures and principles by fundamentally altering judicial practices. Looking ahead, the paper anticipates a promising trajectory for AI and ML in legal research, elucidating their developmental pathways and introducing novel areas of inquiry. It emphasizes the necessity of an interdisciplinary approach, advocating for collaboration between legal professionals, data scientists, and ethicists to effectively address the ethical and practical challenges inherent in the integration of AI with the law. This synergy is deemed essential for navigating the complexities of ethics and practice that arise from the intersection of AI and the legal domain. Moreover, the research underscores the pivotal roles played by AI, ML, and related technologies, asserting that they transcend mere instrumental functions to become catalysts for comprehensive transformations in legal research methodologies. By embracing these technologies, the legal field stands on the brink of a substantial transformation, heralding the end of traditional practices and the dawn of a new era characterized by digital-age legal research paradigms.

Qualitative Writing: Exploring Cul-de-Sacs and Alleys

Writing qualitatively is an immersive experience divergent to other forms of research writing. It is an active construction of reality characterized by integration of the socio-cultural context and in-depth analysis of data viewed through the lens of the writer’s own experience of the phenomenon. However, these characteristics prove challenging and qualitative researchers are often at a loss on how to document their findings. Most studies provide a broad sweep of qualitative writing with few explicit examples in practice which further confounds researchers. Consequently, researchers find qualitative writing exacting and intimidating and tend to present their findings objectively with either scarce or excessive reference to the research paradigm, thwarting the full transformative potential of qualitative research. Drawing on my experience as an interpretive phenomenologist, I present the writing cul-de-sacs and alleys I navigated to illustrate my becoming as a qualitative writer. Specifically, I highlight three distinct strategies to write it right, qualitatively. To maximize findings, the writing style should conceptually align with the research philosophy. Textual cohesion and a multi-dimensional view of social reality can be generated through a mixed-genre writing approach. Finally, making the “I” meaningful by incorporating the researcher’s experiences into the text affords a deepened understanding of the phenomenon. Tenaciously navigating cul-de-sacs in writing and finding solutions to exit no through roads, and walking those shadowy alleys of theoretical constraints, stylistic impositions, and tight word space endow a concrete visibility to the otherwise blurry aspects of life.

Paradigms in Qualitative IB Research: Trends, Analysis and Recommendations

This paper examines trends, challenges and opportunities in terms of research methodologies in qualitative IB research. In particular, it examines trends for the dominant (positivism/(post)positivism) paradigm versus alternative paradigms (i.e., social constructivism, critical realism and interpretivism) and provides a comparative analysis of data collection and methods. Using mixed methods to collect and analyze data on qualitative articles published in International Business Review, Journal of International Business Studies, Journal of World Business, and Management International Review, we examine trends and differences between the dominant and alternative paradigms and use qualitative content analysis to investigate how alternative paradigm papers are conceptualized and presented. Moreover, we interview authors of non-positivist papers to gain in-depth understanding of the findings. We reveal differences across the paradigms and provide evidence of paradigmatic fit between methods and data collection techniques for the dominant paradigm, but more variation for alternative paradigms. Lastly, we provide prescriptions for IB scholars in terms of methodology diversity and how complex IB phenomena can be pursued vis-a-vis alternative paradigms.

Artificial Intelligence and Scientific Research:Prospects and Risks———Synthesis of the session “Artificial Intelligence and Paradigm Change in Science and Technology Innovation” in Tianjin Forum 2023

In the sub-forum “Transformation of Artificial Intelligence and Paradigm in Science and Technology Innovation” of Tianjin Forum 2023, scholars from both China and abroad discussed the impact of artificial intelligence. With the deepening development of the new technological revolution and industrial transformation, new-generation artificial intelligence technology is continuously making breakthroughs in research and application. AI not only promotes the transformation of material productivity, but also gradually emerges as a critical engine for enhancing the knowledge productivity. Since the emergence of the concept of "AI for Science", it has become an obvious proposition generally accepted by the academic community for its tremendous enabling capabilities for knowledge production. Artificial intelligence technology continues to achieve breakthroughs and gain widespread infiltration into the scientific research field, introducing new elements and momentum into scientific research and significantly catalyzing the enhancement of scientific research efficiency and paradigm shifts. AI-driven scientific research has become a new frontier in the global application of artificial intelligence. However, as artificial intelligence triggers paradigm shifts in social science research, the issues of data security, ethics, and value alignment that it brings about need to draw attention from the social science community. Scholars participating in the forum generally concurred that, in regulating the enabling role of AI in scientific research, it is imperative to take into account the specificities of various disciplines and stages, and comprehensively reasonable rational risk allocation mechanisms, platform. support mechanisms, and collaborative participation frameworks to achieve prudent, agile, and full lifecycle regulation of AI for Science.

The Study of Group Characteristics of the Scholars of “virtuous and outspoken” in the Third Year of Yuanhe

In the third year of Yuanhe of Emperor Xianzong of the Tang Dynasty, eleven scholars including Niu Shengru, Huangfu Chik, Li Zongmin, Li Zhengfeng, Xu Xi, Jia Jin, Wang Qi, Guo Qiu, Yao Gun, Yu Wei, and Ji Hongzong were admitted to the examination of the “virtuous and outspoken”. From the perspective of history and literature, eleven scholars in that year were placed at the core and studied, which in essence belonged to a branch of Mr. Fu Xuancong's research paradigm of “Imperial Examination and Literature”. The imperial examination not only provided these scholars with opportunities to enter the imperial court, but also continued to influence their political life and literary creation. Influenced by the subjects, most of them served in the first half of their careers as officials who criticized and admonished, embodying the characteristics of “speaking out and remonstrating extremely”. Among them, some scholars participated in the party struggle, and some scholars intersected with a generation of famous minister Pei Du. The quality of “speaking frankly and remonstrating extremely” accompanied their official career, and the connection with the dignitaries of the current dynasty influenced their career experience and became the intersection of their political activities. The life dominated by politics prompted them to pay more attention to political essays and words and things in their creation. Private words were mostly reflected in the poetry creation with chanting scenery and recording trivial matters as the main theme, and the poems given as a reward were also evidence of their intersection with literary celebrities such as Bai Juyi. , Similar official experiences and close literary experiences eventually constituted the group characteristics of these scholars.

Climate change and plant health: impact, implications and the role of research for mitigation and adaptation

Climate change is a pressing issue requiring bold innovations using an integrated and systematic approach. As part of the CGIAR Webinar Series for the International Year of Plant health 2020 a webinar took place in 2021 entitled ‘Climate change and plant health: impact, implications, and the role of research for adaptation and mitigation’. The purpose of this paper is to share the discussions of the webinar and to show how CGIAR, working closely with partners, can contribute to better management of plant health in a climate crisis. The global research community has an enormous opportunity to collaborate on innovations, partnerships, capacity development and policy engagement to scale up solutions for plant health and agricultural resilience in a climate crisis, embedded within social and economic frameworks. Key action points were identified related to surveillance, big data and predictive models; integrated pest management (IPM) tools; a new paradigm for research to deliver end-to-end, sustainable solutions; fostering of an enabling environment; gender research; delivery of research at ecosystem and landscape scale through bundling and digital tools; and leveraging partnerships, including with the private sector. Through leveraging collaboration opportunities embedded within social and economic frameworks, the global research community has to scale up solutions for plant health and agricultural resilience under a changing climate.

Addressing Knowledge Gaps in ITSM Practice with “Learning Digital Commons”: A Case Study

AbstractInformation Technology Service Management (ITSM) constitutes a suite of specialized organizational capabilities aimed at optimizing the value derived from IT services. The practice of ITSM encompasses a range of complementary frameworks. However, the practitioner community lacks a comprehensive, holistic understanding of the knowledge embedded within these frameworks.Addressing this gap, we developed Service-Symphony, an instance of a Learning Digital Commons (LEDICO) designed to empower the ITSM community with a holistic knowledge-learning experience, with design principles based on epistemic logic, cognitive constructivist learning theory and cognitive schema theory. Leveraging the Design Science Research (DSR) paradigm, we systematically constructed and assessed Service-Symphony. Evaluation tools included surveys and web analytics. Survey responses revealed a consensus among participants, with the majority expressing alignment with the four design principles underpinning Service-Symphony. Web analytics data further indicated significant engagement, with 148,796 users accessing Service-Symphony between April 2019 and September 2022.This paper contributes both to theory and practice. Theoretical contributions include the establishment of a conceptual model and a multi-grounded design theory based on cognitive constructivist learning, cognitive schema and epistemic logic. The practical contributions include e the deployment of a public domain ITSM digital commons tailored to the specific needs of the ITSM community, which is also used as supplementary learning resource for ITSM students.

ENHANCING EARLY CHILDHOOD EDUCATION IN SAUDI ARABIA: UTILIZING GAMIFICATION FOR ENGAGING AND EFFECTIVE LEARNING

Gamification, integration of game elements and principles into non-game contexts, has emerged as a promising educational strategy worldwide. In context of Saudi Arabian schools, known for commitment to innovation and excellence, potential of gamification to transform traditional teaching methods into engaging learning experiences is of particular interest. This comprehensive study, conducted within positivist research paradigm, and employed cross-sectional research design and quantitative survey research method. It collect data from representative sample of 565 early childhood teachers & utilized statistical analyses, including ANOVA, correlation analysis, multiple regression analysis, & MANOVA, to examine impact of gamification. Results revealed that gamification strategies could be effectively integrated, but teacher training and resource support were central. The gamification positively influenced student engagement and motivation, with variations across grade levels and types of early childhood education schools. The study underlines standing of localized research & offers recommendations to enhance the successful implementation of gamification in Saudi Arabian early childhood education schools, contributing to improved educational outcomes and experiences.

Internalisasi Prinsip Moderasi Beragama Melalui Pendidikan Kewarganegaraan (PKn) di SMA

Civics education shouldn't be a dry and dull subject anymore. One such learning approach is a civics implementation strategy centered on religious moderation. Students are encouraged to investigate and evaluate diversity issues in their surroundings using the Civics learning technique, which is based on Bhineka Tunggal Ika. The concept of religious moderation is defined as a disposition of respect, tolerance, and moderation toward all forms of difference, including religious differences. Because of Indonesia's extreme diversity and the situations that lead to conflict over it, it is crucial to practice religious moderation. With civics teachers and Class X 2 students as research subjects, the purpose of this article is to clarify the significance of religious moderation guidelines through educational institutions that emphasize citizenship education (PKn) at SMA Negeri 1 Tolitoli. In order to understand a phenomenon that happens in society, this study used a qualitative descriptive research paradigm. through the use of field observations and interviewing as data collection methods. The study's findings provide an explanation for: (1) Civics education based on Bhinneka Tunggal Ika, which moderates religious learning, is beneficial in fostering national understanding and fostering conversations about diversity. Students can practice living side by side with a loving and harmonious mindset by working on projects based on Bhinneka Tunggal Ika. in any variation.

“Straight-acting to the Front”: Investigating the Influence of a Sexually Normative Double-bind on Gay and Lesbian Students at a South African University Campus

Heteronormativity posits heterosexuality as the only acceptable and normal presentation of gendered and sexual identities. Similarly, homonormativity structures social life along heteronormative beliefs and ideals to construct conventional gay and lesbian identities. This article comments on a critical sociological exploration of the influences of these sexual normativities on the identity construction of gay and lesbian students at one campus of a South African university. Discourse was explored through a qualitative research paradigm focused on the lived experiences and reported narratives of gay and lesbian students. Three findings emerged from the data: first, how the participants socially constructed and performed their “ideal” gay and lesbian identities according to interrelated and mutually reinforcing hetero- and homonormative principles; second, these idealised typologies informed the social placement of gay and lesbian students on campus; finally, said ideals resulted in a so-called sexually normative double-bind that required gay and lesbian students to continuously navigate their membership of in- and/or out-groups on campus.

The Transformation of Educational Values via Cultural Offerings in the Context of Teacher Education

Education and culture are seen as key components of the learning process. In this context, discussions about the quality of education and approaches to strengthening educational values, as well as the importance of culture in the transmission of these values, are becoming increasingly relevant. However, in Latvia, studies regarding people who attend various cultural events do not focus on strengthening educational values or linking them to the cultural context. Therefore, the aim of this paper is to explore how educational values are linked to current trends in cultural offerings and how they are reflected in teacher education. The research methodology followed a qualitative and quantitative research paradigm and the specifics of interdisciplinary research. The data were obtained using surveys and focus group discussions. The overall strategy of the study is based on a holistic, multidisciplinary approach that takes the regional discourse in Latvia into account. The research results prove that cultural experiences have contributed to the development of most respondents’ personalities and emphasize the role of teachers in the transmission of educational values. The qualitative and educational content of cultural offerings promotes a culture of discussion, strengthens community consciousness, and shapes cultural taste.

The Concept of Conflict Semantic Explication Within the Functional Terminological Field (Based on the Analysis of Russian and International Media Sourses)

The study attempts to carry out an objective analysis of conflict as the main component of social dynamics in an interdisciplinary manner and within the paradigm of intercultural comparative research. In order to achieve this goal, an experimental study of the ways to conceptualize conflict in the functional field of media discourse was conducted. The object of the study is the content of the websites of twelve leading newspaper publications from five countries during the period of 2020–2022: Russia, Great Britain, the USA, India and China. The choice of media sources is predetermined by their leading role in the national media markets (top 10 national newspapers), as well as by similar characteristics: socio-political course, mass audience, and daily issuing. To study the degree of conflict manifestation, we used the Integrum media monitoring and analytical system which contains full-text electronic archives of more than 120,000 publications, including those selected for the study. To understand the dynamics of publicational activity, the total number of conflict-related texts for every year between 2020 and 2022 for each media source the quantitative analysis based on the detection of conflict attributes was performed. The share of conflict-related media texts in the overall agenda was revealed. The further analysis of semantic features combined within the most significant thematic categories shed light on the specificity of conceptual pattern typical of the countries under investigation.

The Potential of Influencer Marketing in India for Enhancing Brand Promotion and Recognition Amid the Covid-19 Crisis

During the COVID-19 pandemic, a significant rise in screen time and online shopping was observed as a consequence of the nationwide lockdown. Consequently, many brands and enterprises turned to influencer marketing to capitalise on this online opportunity. Influencer marketing serves as a modern and robust marketing tool aimed at attracting the millennial demographic, particularly in the country. It can be viewed as an extension of conventional word-of-mouth marketing strategies. Consumers have instant access to a wide array of products at their fingertips, thanks to the advancements in smartphones and emerging communication and information technologies. This study seeks to explore the impact of social media influencers on enhancing brand visibility through Information and Communication Technologies (ICT) and their influence on consumers' purchasing behaviour during and after the pandemic. The research approach is a mixed method, combining qualitative and quantitative methodologies. Within the quantitative research paradigm, semi-structured interviews were conducted. The researcher also delved into two theoretical frameworks, namely the two-step flow theory and social learning theory, to provide a more conceptual understanding of the research domain. The insights gathered from this study will not only benefit academic researchers but also enable businesses to gain a comprehensive comprehension of consumers and modern digital marketing trends.

Dissemination of scientific information through open access by research scientists in a developing country

This study investigated the perceptions and factors that researchers had about Open Access (OA) publishing, specifically how it affected their decision to publish or not. The Diffusion of Innovation Theory by Rogers served as the study's main guide, and 15 research scientists from Ghana's Council of Scientific and Industrial Research's Crop Research Institute provided qualitative data for the study through semi-structured interviews and the interpretivist research paradigm. Convenience sampling was used to choose the participants, and thematic analysis was used to analyse and present the research results in themes. The study's conclusions showed that all of the participants benefited from OA and that they were all aware of its application for disseminating scientific information. High Article Processing Charges (APC) and credibility issues were also mentioned in the study as significant obstacles to using OA for the dissemination of scientific information. The study suggests that in order for scientists to use Open Access (OA) for the sharing of scientific information, they must be given the means to distinguish trustworthy journals from predatory ones.

V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models

Building artificial intelligence (AI) systems on top of a set of foundation models (FMs) is becoming a new paradigm in AI research. Their representative and generative abilities learnt from vast amounts of data can be easily adapted and transferred to a wide range of downstream tasks without extra training from scratch. However, leveraging FMs in cross-modal generation remains under-researched when audio modality is involved. On the other hand, automatically generating semantically-relevant sound from visual input is an important problem in cross-modal generation studies. To solve this vision-to-audio (V2A) generation problem, existing methods tend to design and build complex systems from scratch using modestly sized datasets. In this paper, we propose a lightweight solution to this problem by leveraging foundation models, specifically CLIP, CLAP, and AudioLDM. We first investigate the domain gap between the latent space of the visual CLIP and the auditory CLAP models. Then we propose a simple yet effective mapper mechanism (V2A-Mapper) to bridge the domain gap by translating the visual input between CLIP and CLAP spaces. Conditioned on the translated CLAP embedding, pretrained audio generative FM AudioLDM is adopted to produce high-fidelity and visually-aligned sound. Compared to previous approaches, our method only requires a quick training of the V2A-Mapper. We further analyze and conduct extensive experiments on the choice of the V2A-Mapper and show that a generative mapper is better at fidelity and variability (FD) while a regression mapper is slightly better at relevance (CS). Both objective and subjective evaluation on two V2A datasets demonstrate the superiority of our proposed method compared to current state-of-the-art approaches - trained with 86% fewer parameters but achieving 53% and 19% improvement in FD and CS, respectively. Supplementary materials such as audio samples are provided at our demo website: https://v2a-mapper.github.io/.

Abstract 7401: High-level multiplexed virtual immunofluorescence staining using holotomography and deep learning

Abstract Multiplexed immunofluorescence (IF) staining plays a crucial role in cancer research, allowing simultaneous visualization of multiple biomarkers to elucidate complex cellular interactions within the tumor microenvironment. However, the conventional multiplexed IF approach has inherent limitations, characterized by labor-intensiveness and a constrained capacity for high-level multiplexing. These challenges hinder its scalability and comprehensive analysis of intricate molecular landscapes.To overcome the limitations of conventional multiplexed IF, we propose a novel approach that integrates holotomography (HT) and deep learning. HT is a label-free imaging technique that quantitatively measures the refractive index distribution of the specimen without any staining. To provide subcellular specificity to the label-free HT images, HT is integrated with virtual staining. Virtual staining is a deep learning-based framework that converts label-free images to the desired stained images, in this case, from HT images to multiplexed IF images. This synergistic combination of HT and deep learning may address the current limitations of multiplexed IF protocols.Our proposed methodology aims at high-level multiplexed virtual IF staining from label-free cancer tissue slides using HT and deep learning. This approach not only eliminates the need for chemical staining but also enhances the level of multiplexing through computational staining. Specifically, we acquire HT and fluorescence images of stained tissue slides for training. Utilizing this paired dataset, we then employ supervised learning to create a neural network that can map between label-free HT images and corresponding fluorescence images. Subsequently, the trained neural network is applied to label-free tissue slides, inferring fluorescence images without the need for chemical staining.We believe the proposed virtual staining framework will contribute to a more efficient and scalable paradigm for cancer research, facilitating a deeper understanding of tumor biology, and advancing the field of precision medicine. Citation Format: Juyeon Park, Su-Jin Shin, Geon Kim, Kwang Suk Lee, Ji Eun Heo, YongKeun Park. High-level multiplexed virtual immunofluorescence staining using holotomography and deep learning [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7401.

Abstract 6908: Integrating PDX GBM in vivo models with patient history and whole exome sequencing: Advancing relevance and precision in preclinical studies

Abstract Glioblastoma poses a significant challenge in oncology, necessitating improved translational models that faithfully replicate the intricate tumor microenvironment. Patient-derived xenograft (PDX) models, are key in glioblastoma multiforme (GBM) preclinical research. PDX models (orthotopic and subcutaneous) provide a more clinically relevant representation compared to CDX xenografts. Analyzing PDX tumors in their native environment allows for a nuanced understanding of GBM biology, tumor-stroma interactions, and treatment responses. This abstract explores the rationale and advantages of utilizing PDX GBM in vivo models coupled with patient diagnosis and treatment history, empowered by tumor whole exome sequencing (WES), to enhance the relevance of preclinical studies in evaluating GBM-specific treatments. TD2 has access to over 100 GBM PDX tumors models with fully annotated patient details and treatment history. Moreover, 68 of these PDXs also have WES data, that allows most appropriate model selection to ensure alignment with the therapeutic development strategy. Below is a detailed analysis of two GBM PDX models, GBM6 and GBM46, using patient history and WES data to define criteria for success in assessing novel preclinical therapeutic agents. GBM6, was obtained prior to treatment from a 65-year-old man with glioblastoma multiforme, that contains 642 mutations, including EGFR VIII amplification. GBM46, was obtained from a 55-year-old man with prior treatment, contained 646 mutations, including RAS pathway alterations and EGFR (MET and FLT3) amplification. When grown subcutaneously the anti-tumor activity of cetuximab against GBM6 and GBM46 resulted in 41% and 48% growth inhibition, respectively. Traditional treatments have also been evaluated in the orthotopic setting, with temozolomide (TMZ) showing a nominal improvement in lifespan (11%) as expected for the unmethylated MGMT found in the GBM6 model. By contrast, GBM46 from a patient with prior treatment with TMZ, OSI-774, radiation, and BCNU, exhibited a 58% increase in overall lifespan when treated with TMZ alone. Orthotopic PDX GBM models preserve many molecular characteristics, enabling the study of intrinsic GBM mutations for developing novel therapeutic strategies. While orthotopic models better capture GBM's dynamic nature, traditional xenograft systems remain valuable as rapid screening tools. Models with defined clinical treatment history and WES data allows for testing new agents in models that more closely resemble the clinical development path for a given new agent and aids in deciphering factors influencing therapeutic resistance. These models have the potential to reshape preclinical research paradigms, accelerating the translation of promising therapeutic agents increasing the likelihood of clinical benefit for patients with glioblastoma multiforme. Citation Format: Erin E. Trachet, Paul M. Gonzales, Stephen Gately. Integrating PDX GBM in vivo models with patient history and whole exome sequencing: Advancing relevance and precision in preclinical studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6908.