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This Author published in this journals
All Journal Journal of Noesantara Islamic Studies Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Multidisciplinary Sustainability Asean
Sofia Lim
Singapore University of Technology and Design (SUTD)
Religion Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Other

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CREATIVE TECHNOLOGY AS A DRIVER OF SOCIO-PRENEURSHIP: ENTREPRENEURIAL RESPONSES TO GLOBAL CHALLENGES Lucas Wong; Sofia Lim; Sarah Brown; Alimuddin Alimuddin
Journal of Social Entrepreneurship and Creative Technology Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v3i2.3825

Abstract

The increasing complexity of global challenges such as poverty, climate change, and inequality has pushed marginalized communities to seek innovative solutions through entrepreneurship. Creative technologies like virtual reality (VR), augmented reality (AR), and mobile applications offer novel opportunities for socio-preneurship, enabling entrepreneurs to develop solutions that promote social, environmental, and economic sustainability. This study explores how creative technologies serve as a catalyst for socio-preneurship by examining the experiences of entrepreneurs in underserved regions who have integrated these technologies into their business models. The research aims to understand how these technologies empower entrepreneurs to overcome systemic barriers and create scalable solutions to global challenges. A mixed-methods approach was utilized, combining qualitative interviews and quantitative surveys to gather insights from 20 entrepreneurs across diverse sectors, including education, healthcare, and agriculture. The findings suggest that creative technology enhances business performance, expands market access, and strengthens community ties. Moreover, social capital was identified as a crucial factor in amplifying the impact of technology adoption. The study concludes that creative technology is essential for inclusive socio-preneurship, offering a pathway to address global challenges while fostering local economic and social development. Policy recommendations include supporting technological infrastructure and social networks for marginalized entrepreneurs to ensure sustainable growth.
Development of an Aptamer-Based Electrochemical Biosensor for Early Detection of Prostate Cancer Markers Sofia Lim; Marcus Tan; Ethan Tan
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i4.1811

Abstract

Prostate cancer is a leading malignancy in men, where early detection is critical for effective treatment. Current diagnostic methods, such as PSA tests, have limitations in sensitivity and specificity. To develop an aptamer-based electrochemical biosensor for the early detection of prostate cancer markers, aiming to improve diagnostic accuracy and speed. The study involved the design and optimization of aptamers through SELEX, integration with electrochemical sensors, and validation using prostate cancer cell lines and clinical samples. Instruments used include electrochemical workstations, HPLC, and mass spectrometry for characterization and evaluation. The developed biosensor demonstrated a detection limit of 0.1 ng/mL for PSA, with a response time of less than 10 minutes. High reproducibility was achieved with a coefficient of variation below 5%, and the biosensor showed significant specificity and stability in detecting PSA in various samples. The aptamer-based electrochemical biosensor offers a promising tool for the early detection of prostate cancer markers, providing higher sensitivity and specificity compared to traditional methods. Further clinical validation is necessary to confirm its efficacy and reliability in broader applications.
AI ASSISTED PERSONALIZED VACCINE DESIGN USING MULTI-OMICS CANCER DATA Khalil Zaman; Shazia Akhtar; Sofia Lim; Ardi Azhar Nampira
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i3.2381

Abstract

The development of personalized cancer vaccines represents a promising frontier in oncology, yet traditional approaches struggle with the complexity and volume of multi-omics data. This study addresses this challenge by introducing an AI-assisted framework for the design of personalized vaccines. The primary objective was to leverage machine learning models to identify and prioritize neoantigens from integrated genomic, transcriptomic, and proteomic data of cancer patients. The methodology involved a deep learning pipeline to analyze multi-omics datasets, predicting tumor-specific mutations and their immunogenicity. This was followed by an algorithm to select the most potent neoantigen peptides for vaccine formulation, optimizing for both MHC binding affinity and T-cell activation potential. Our results demonstrate that the AI-driven approach significantly improved the speed and accuracy of neoantigen identification compared to conventional methods. The framework successfully predicted a set of high-quality vaccine candidates for individual patients, which showed strong in silico binding to patient-specific MHC molecules. We conclude that this AI-assisted methodology provides a powerful and scalable solution for personalized vaccine design, accelerating the translation of multi-omics data into clinically actionable immunotherapies.
The Effect of Artificial Intelligence in Adaptive Learning on Improving Student Understanding in Elementary School Iin Almeina Loebis; Sofia Lim
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i2.2240

Abstract

Background. Advances in artificial intelligence (AI) technology have presented various innovative opportunities in the world of education, especially in the development of adaptive learning systems. The diverse understanding of elementary school students and the need for appropriate learning approaches make AI-based learning a promising alternative to improving learning effectiveness. Purpose. This study aims to determine the effect of the application of artificial intelligence in adaptive learning systems on improving student understanding at the elementary school level. The main focus is to see how much this system contributes in accommodating differences in learning styles and students' ability to understand the subject matter. Method. The research method used was a pseudo-experiment with a pretest-posttest control group design. The study population consisted of grade V students at an elementary school in Indonesia, with purposive sampling techniques to determine the experimental and control groups. The instrument is in the form of a concept understanding test and observation of the learning process. Results. The results showed that students who learned with AI-based adaptive systems experienced a significant increase in understanding compared to the control group. The average posttest score of the experimental group was higher with a more even increase. Case studies also show higher learning engagement and increased student motivation. Conclusion. The conclusion of this study states that the application of AI in adaptive learning has great potential in improving student understanding, especially with a personalized approach to material and adjusted learning speed. This technology is able to effectively answer the challenge of differentiating learning at the elementary level.
The Contribution of Kalam in Resolving Contemporary Theological Controversies: A Study of Rational Debates Ali Mufron; Sofia Lim; Rachel Chan; Jasafat Jasafat
Journal of Noesantara Islamic Studies Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v2i1.1845

Abstract

The discipline of Kal?m (Islamic theology) has historically served as a framework for addressing theological controversies, utilizing rational discourse to harmonize scriptural interpretation with intellectual inquiry. In the modern era, theological debates concerning issues such as faith, ethics, and the reconciliation of science and religion have intensified, necessitating renewed exploration of Kal?m as a method for resolving these challenges. This study examines the contribution of Kal?m in addressing contemporary theological controversies through rational debates and intellectual engagement. A qualitative approach was employed, combining historical analysis and textual study of classical Kal?m works with case studies of modern applications in theological discourse. Data were collected through critical analysis of primary texts and interviews with contemporary theologians and scholars actively engaging in rational debates on theological issues. The findings demonstrate that Kal?m provides a robust intellectual foundation for navigating contemporary theological controversies. Its emphasis on rational argumentation fosters constructive dialogue between traditional Islamic perspectives and modern intellectual paradigms. The study concludes that Kal?m remains a vital tool for resolving contemporary theological controversies, bridging the gap between tradition and modernity.
Co-Authors Ali Mufron Alimuddin Alimuddin Ardi Azhar Nampira Ethan Tan Iin Almeina Loebis Jasafat Jasafat Khalil Zaman Lucas Wong Marcus Tan Rachel Chan Sarah Brown Shazia Akhtar