Volume 1, Issue 1
Evolution of Digital Microfluidics and Point-of-Care Diagnostics
Ayush Chandrakant Dambale, Armeya Yogesh Dongre
Abstract—Cellular interaction with the surrounding microenvironment plays a crucial role in determining its development pathway. A regulated microenvironment mimics cellular physiological activities, paving the way for efficient and non-reactive conditions ideal for diagnostics, disease modeling, and precision medicine. Digital microfluidics (DMF) enables precise manipulation of nanoliter-sized liquid droplets via electrowetting-on-dielectric (EWOD) principles, replacing conventional fixed-channel systems with programmable, electrode-driven fluid handling. Driven by EWOD principles, DMF offers reconfigurability and advanced microfluidic operations across interdisciplinary fields. Its compact, programmable, and highly precise nature makes DMF especially well-suited for point-of-care diagnostics, particularly in settings with limited resources. DMF systems can perform complex biological tests such as DNA amplification, immune response detection, and pathogen screening—all on a single chip. However, challenges such as manufacturing complexity, risk of contamination, biofouling, limited standardization, and lack of user-friendly automation hinder widespread adoption. Addressing these barriers will require advances in substrate material fabrication, device standardization, smarter surface coatings, and automation procedures. This review summarizes the evolution, mechanisms, applications, and future trajectory of DMF, emphasizing its potential to revolutionize fast, affordable, and accessible diagnostics worldwide.
Keywords: Microenvironment, microfluidics, digital microfluidics, electrowetting-on-dielectric
Citation: Chandrakant Dambale, A.; Yogesh Dongre, A. Evolution of Digital Microfluidics and Point-of-Care Diagnostics. Intl. J. Sci. Aca. Adv. 2025, 1, 1-11. https://ijsaa/org/doi/103378/2025/604846.
Read full article: https://doi.org/10.3378.2025.604846
Integrating Human Insight and Algorithmic Precision in Modern Wealth Management
Ananya Dixit, Vidhisha Singh, Shiv Ray, Bhavya Bhargava
Abstract—Robo-Advisors are digital platforms that use algorithms to manage investment portfolios with minimal human involvement. They make investing more accessible, affordable, and user-friendly, particularly for beginners or individuals with limited financial knowledge. Despite these advantages, key concerns remain, including the absence of personalized, trust-based guidance and the potential misjudgment of individual risk tolerance. Using the SWOT (Strengths, Weaknesses, Opportunities, and Threats) and PESTLE (Political, Economic, Social, Technological, Environmental, and Legal) frameworks, the study evaluates the factors influencing the growth, challenges, and future potential of Robo-Advisors within the evolving fintech landscape. Shifts in consumer behavior, regulatory changes, and technological advancements emerge as critical forces shaping their development and adoption. The analysis identifies limitations such as insufficient personalization and difficulties in securing informed user consent. To address these challenges, recommended pathways include hybrid advisory models that balance human expertise with algorithmic accuracy, enhanced tools for risk assessment, and strengthened regulatory compliance. Such measures can foster greater trust and support the long-term reliability of Robo-Advisors in wealth management.
Keywords: FinTech, Robo-Advisors, SWOT Analysis, Porters Five Forces, Automation, Wealth Management
Citation: Dixit, A.; Singh, V.; Ray, S.; Bhargava, B. Integrating Human Insight and Algorithmic Precision in Modern Wealth Management Intl. J. Sci. Aca. Adv. 2025, 1, 12-23. https://ijsaa/org/doi/103378/2025/604847.
Read full article: https://doi.org/10.3378.2025.604847
Evaluating the Effectiveness of AI Chatbots in Improving Teenage Financial Literacy
Vatsal Goel, Thejasa Maadireddy, Ruthvika Dasaraju, Shamiksha Prabhu, Thilen Lama, Vamik Shaikh, Kritika Verma
Abstract—Traditional learning methods in schools are not preparing teenagers enough for their financial future, and most existing resources are not designed to meet the unique learning needs of teenagers. At the same time, AI-driven educational chatbots have shown promise, but most lack in their ability to generate accurate, contextually aware, real-time responses. There is a gap in accessible, engaging, personalized financial education lessons among teenagers, especially in underserved communities. Our study has developed Midas 1.0, an AI-powered financial literacy chatbot built using Google’s FLAN-T5 Large model, capable of generating rich and reliable responses to financial-related queries from teen users. In a study with 73 teenagers, our results demonstrated measurable improvements in their financial literacy scores after interacting with Midas 1.0 and an increase in users’ confidence in managing their finances. Compared to other systems and traditional learning tools, Midas 1.0 provided refined, semantically rich responses with a BERT score of 82.73%, enabling personalized and engaging financial education. This study suggests that transformer-based models like FLAN-T5 can effectively improve teenagers’ knowledge of many financial concepts. Our results highlight the potential of AI in delivering impactful, engaging financial education that increases teenagers’ knowledge and confidence in managing their finances. Our results offer a promising step toward closing the financial literacy gap in youth populations.
Keywords: Financial Literacy, Teenager Financial Education, NLP, FLAN-T5, BERTScore
Citation: Goel, V.; Maadireddy, T.; Dasaraju, R.; Prabhu, S.; Lama, T.; Shaikh, V.; Verma, K. Evaluating the Effectiveness of AI Chatbots in Improving Teenage Financial Literacy. Intl. J. Sci. Aca. Adv. 2025, 1, 20-29. https://ijsaa/org/doi/103378/2025/604848.
Read full article: https://doi.org/10.3378.2025.604848
Bioinspired Microrobots in Precision Therapy towards Clinical Applications
Ishika Tamse, Saanvi Gourineni, Imran Nazir, Anubhav Datta , Kreiish Jitesh
Abstract—The scientific field of biohybrid surgical micro/nanorobots (MNRs) has experienced rapid growth over the past decade. The integration of biological elements endows biohybrid MNRs with superior biocompatibility, reduced immune response, and often inherent propulsion mechanisms. Bioinspired MNRs vary from millimeters to micrometers, typically by adopting biological functions (chemotaxis, phototaxis), while synthetic parts offer external control (magnetic fields, ultrasound, light), increased cargo capacity, and stimuli-responsive behaviors (pH, temperature, enzymes). Power issues seen at the micro-scale can be resolved using biocompatible fuels (glucose, urea) or extrinsic fields for movement, tissue engineering, surgery, and therapy. Despite this, clinical institutions demonstrate a lack of accessibility to these technologies. Key challenges for clinical adoption involve establishing micro-level reliable power supplies, precise navigational control, ensuring biodegradability, and achieving targeted drug delivery. External challenges include high development costs, lack of clinical testing, regulatory barriers, and expertise in equipment usage. This study performs a qualitative analysis of recent technological advances influencing MNRs across six major domains: actuation, fabrication, imaging, control mechanisms, biodegradability, and clinical reliability. We compare existing methods like minimally invasive surgery (MIS), drug delivery systems, and in vivo imaging through exploring the lifecycle of MNRs from fabrication to in vivo degradation as an emerging oncology treatment application. Additionally, we address patient autonomy, biodata confidentiality, global accessibility, accountability for surgical complications, and cultural views. The study results suggest that MNRs have a significant potential for enhancing patient outcomes and facilitating safer surgeries. The development of these technologies, however, needs extensive study, collaboration, trial, and correlated social structures.
Keywords: MNRs, Surgical Robotics, Minimally Invasive Surgery, Drug Delivery
Citation: Tamse, I.; Nazir, I.; Jitesh, K.; Datta, A. Bioinspired Microrobots in Precision Therapy towards Clinical Applications Intl. J. Sci. Aca. Adv. 2025, 1, 30-42. https://ijsaa/org/doi/103378/2025/604849.
Read full article: https://doi.org/10.3378.2025.604849
Emerging Evolution of Visual Assistive Technologies
Rishi Sharma, Mishal Sohail, Arna Bagalkar, Raisa Tabassum, Raguthas Vethiga, Vaishnavi KS
Abstract—Individuals with sensory impairment such as visual are affected in everyday lifestyle limiting their ability to navigate and interact with their environment. Recent engineering solutions, from AI-based navigation to wearable haptic devices, are designed to enhance the autonomy of Visually Impaired Persons (VIPs). This review examines engineering solutions that enhance independence for people with visual impairments through advances in mobility, environmental interaction, and information access. It investigates design principles, implementation strategies, and user-centered considerations. Previous studies have shown that AI-based navigation and sensor-integrated mapping tools outperform traditional aids in detection, but face limitations in context, range, and real-world usability. Augmented mobility aids build on traditional canes with haptic or auditory cues and GPS to improve confidence and reduce training time, though are still limited by battery life and terrain. However, barriers such as excessive costs, a lack of customization, and societal stigma continue to limit uptake. The review reflects on the need for consistent evaluation frameworks and participatory design methods to align lab-based innovations with real-world usability. This review identifies pathways for developing low-cost, customizable, and user-centered assistive technologies that prioritize equitable access and real-world usability. Furthermore, the approaches identified a push for emerging smart city systems to develop a focus on accessible wayfinding. Cost-effective manufacturing and community collaboration could remove barriers for access, while speeding deployment in underserved areas. These findings provide a foundation for future research and a collaborative effort to capitalize on the potential of visual assistive technologies (VATs).
Keywords: Visual Impairment, Visual Assistive Technology, Accessibility, User Adaptability, Haptic Feedback
Citation: Sharma, R.; Sohail, M.; Bagalkar, A.; Tabassum, R.; Vethiga, R.; KS, V. Emerging Evolution of Visual Assistive Technologies. Intl. J. Sci. Aca. Adv. 2025, 1, 43-54. https://ijsaa/org/doi/103378/2025/604850.
Read full article: https://doi.org/10.3378.2025.604850