Daily Archives: June 12, 2025

Authors: Faiza Shaik

 

 

Abstract: The use of nanorobotics in cancer therapy represents a groundbreaking evolution in the field of biomedical sciences, offering precision, efficiency, and adaptability in targeting malignant cells. These nanometer-scale devices are engineered to perform complex tasks at the cellular and molecular levels, enabling the direct delivery of anticancer agents to tumors while minimizing damage to healthy tissue. This paper explores the foundational principles of nanorobotics, their diverse types, and the technological advancements enabling their application in oncology. It delves into the mechanisms through which nanorobots navigate biological environments, recognize cancerous cells, and administer therapeutic agents with unmatched specificity. Additionally, the paper addresses the integration of sensors, actuators, and logic gates within nanorobots to enhance decision-making and responsiveness in real-time conditions. Challenges such as biocompatibility, immune response, power sources, and regulatory hurdles are discussed in detail. Furthermore, current experimental studies, clinical trials, and future perspectives in the development of nanorobotics for cancer therapy are critically analyzed. The convergence of nanotechnology, robotics, and medicine through nanorobotics holds the promise of redefining cancer treatment paradigms with higher survival rates and lower side effects.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Ravi Kumar

 

 

Abstract: – Nanotechnology has emerged as a transformative platform in the development of next-generation vaccines, enabling precise delivery of antigens and immunomodulatory agents to the immune system. By mimicking natural pathogens at the nanoscale, nanoparticle-based vaccines enhance antigen stability, promote targeted delivery to antigen-presenting cells, and improve immunogenicity. This paper explores various nanomaterial platforms used in vaccine development, including lipid nanoparticles, virus-like particles, polymeric and inorganic nanoparticles, and their role in overcoming limitations of traditional vaccines. Mechanisms of immune activation, strategies for improving vaccine stability and targeted delivery, and challenges in clinical translation and regulatory approval are discussed. The convergence of nanotechnology with immunology and bioinformatics is poised to revolutionize vaccine development, enabling rapid, safe, and highly effective vaccines against infectious diseases, cancers, and emerging pathogens.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Darshita Singh, Shreya Saini, Tanish Rashm, Anshu Rai, Punit Kumar

Abstract: This paper outlines the design and implementation of a Personal Finance Management System (PFMS) aimed at helping individuals manage their personal finances effectively. In this digital revolution era, sound financial planning and investment performance are crucial for individuals wanting to achieve long-term financial stability. Therefore, this study presents the design and implementation of an innovative Personal Finance Management and Investment System that allows users to track their incomes, expenditures, and individual investment portfolios and receive intelligent, data-driven personal finance recommendations. The System includes a modern web-based platform utilizing React.js for a complete user-experience interface, Node.js and Express.js for a robust backend service platform, and MongoDB for highly flexible data storage. The application uses machine learning capabilities, powered by Python algorithms to analyze user financial-related activities to propose heretofore unimaginable efficiency in budgeting and a variety of investment options. Finally, to give users value add insights, portfolios can include transaction monitoring, creating financial objectives, tax implications, and investment optimization through graphical dashboards. The proposed solution aims to increase financial literacy; develop saving behaviours with discipline; and a well-informed investment decision set; particularly for young earners, and those at post-secondary institutions.Along with providing instant feedback on financial activity, the system prioritizes usability, with a simple, easy-to-use interface that reduces the complexity normally present in financial programs. Through functionality, accessibility, and data-based insights, the PFMS will be an overall and useful tool for personal financial planning and management.

 

 

Published by: vikaspatanker

Authors: Nanditha Das

 

 

Abstract: Nanoparticle-based drug delivery systems represent a transformative innovation in modern pharmacology, providing novel solutions to long-standing challenges in medicine. These systems leverage the unique properties of nanoparticles to improve drug solubility, enhance bioavailability, and ensure targeted delivery, particularly across complex biological barriers. This paper explores the diverse types of biological barriers that impede therapeutic efficacy, such as the blood-brain barrier, gastrointestinal tract, and tumor microenvironment. It further delves into the various nanoparticle platforms developed to navigate these barriers, including liposomes, dendrimers, polymeric nanoparticles, and lipid-based systems. The role of surface modification techniques, targeting ligands, and stimuli-responsive mechanisms in improving delivery efficiency is analyzed in depth. Additionally, the paper evaluates the pharmacokinetics, biodistribution, and safety concerns associated with these systems, while discussing the latest clinical advances and translational hurdles. Ultimately, this comprehensive overview underscores how overcoming biological barriers using nanoparticles has opened new frontiers in precision medicine and is revolutionizing drug therapy paradigms.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Dr.R.S Khatana, Rahul Yadav

 

 

Abstract: Abstract- Data analysis plays a crucial role in today’s data-driven world. It is the science of examining raw data to make conclusions, identify patterns, and support decision-making. This paper explores the definition, techniques, tools, and real-world applications of data analysis, especially in sectors like business, healthcare, education, and government. With the rising importance of big data, this study also discusses ethical considerations and challenges faced in data analysis.Data analysis is indispensable in the digital age. From simplifying operations to transforming entire industries, its potential is vast. However, with power comes responsibility. Ethical handling of data, maintaining quality, and using insights judiciously are key to unlocking the true potential of data analysis. Keywords-Data Analysis,Big Data,Decision-Making,Data-Driven,Analytical Techniques.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Yasik Sharma

 

 

Abstract: – Regenerative medicine aims to restore or replace damaged tissues and organs, offering new therapeutic strategies for conditions previously considered incurable. Nanotechnology, through the manipulation of materials at the nanoscale, has emerged as a transformative tool in this field by enabling precise control over cellular behavior and tissue microenvironments. Nanomaterials such as nanoparticles, nanofibers, and nanotubes exhibit unique physicochemical properties that facilitate enhanced scaffold design, targeted drug delivery, and real-time monitoring of tissue regeneration. This paper reviews current advancements in applying nanotechnology to regenerative medicine, focusing on its role in tissue engineering, stem cell modulation, and biomolecular delivery. Key challenges including biocompatibility, toxicity, and scalability are discussed, alongside future prospects that suggest integration of nanotechnology with biofabrication and personalized medicine could revolutionize regenerative therapies.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Kashish Srivastava, Prerana Kumari, Jatin Sharma, Nikhil Sharma, Dr. Hitesh Singh, Dr. Vivek Kumar

Abstract: The AI-Powered Personalized Cancer Treatment App "WeCan" is an innovative initiative that incorporates the latest technologies such as React.js, Vite, and Gemini AI to bring back personalized cancer treatment recommendations to patients. Our revolutionary approach leverages machine learning algorithms along with deep medical expertise to review individual patient profiles such as genetic data, medical history, and lifestyle factors to develop customized treatment plans optimized for efficacy and reduced side effects. WeCan's user-friendly interface allows patients to enter their medical details and gain personalized advice, while healthcare providers can view detailed reports and track patient progress in real-time. This enables data-driven decision-making and maximizes patient outcomes throughout the cancer care continuum. The core of WeCan's architecture revolves around an ultrasecure data management system that protects sensitive patient data through compliant storage and secure processing techniques. Sophisticated encryption technologies safeguard data in transit and at rest. The back end is engineered to integrate with existing healthcare infrastructure seamlessly, supporting effective data exchange with minimal administrative burden for providers, so they can spend more time on patient care and less on paperwork. With the fusion of AI-driven insights and predictive analytics, WeCan enables healthcare providers to detect high-risk patients and create customized treatment plans based on the individual characteristics, background, and genetic profile of each patient. Through this personalized strategy, decision-making is more informed, resources are optimized, and patient outcomes are maximized. The tool integrates patient data, such as treatment plans, prognosis factors, and probable outcomes, into a single, user-friendly interface. This simplifies the handling of cancer care and facilitates improved coordination among healthcare professionals, patients, and caregivers along the journey. Ultimately, this patientfocused and cooperative strategy revolutionizes the way healthcare providers interact with cancer patients by facilitating more efficacious and personalized treatments.

Published by: vikaspatanker

Authors: Ms. Monalisa Baral, Ms. Komal Bhamble, Dr. Jasbir Kaur, Ms. Ifrah Kampoo

Abstract: A variety of real-world problems are being addressed today by soft computing, but limited research has been found in the area of neuroimaging. Given the vast area of neuroimaging that can be explored through soft computing, researchers can work on and improve their work. The results of this research should advance soft-computing approaches to address neuroimaging problems. However, the human brain contains a large portion of the dataset, and the dataset is not homogeneous, so it is not easy to deal with the problem. A heuristic approach to soft computing can play an important role in addressing problems within limited time constraints. Furthermore, fuzzy logic is also an effective neural networks, fuzzy logic, statistics, and probabilistic inference. In addition, parts of machine learning and optimization are also included in this domain. However, Neuro imaging is primarily focused on brain data and the impact on behavioral and cognitive data by analyzing solution for identifying neurodivergent diseases. To combine all the fruitful solutions, this research topic aims to summarize all the solutions by covering a wide range of soft computing and neuroimaging methods

DOI: 10.61137/ijsret.vol.11.issue3.153

 

Published by: vikaspatanker

Authors: Manasa Jain

 

 

Abstract:

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Manasa Jain

 

 

Abstract:

DOI: http://doi.org/

 

 

Published by: vikaspatanker