Daily Archives: October 23, 2025

Authors: Miss . Chilantharajula Tejasri, Dr. K.Venkata Rao

Abstract: The opioid crisis, a pressing global public health issue, has led to a significant rise in overdose deaths, particularly among individuals under 50, with profound social and economic impacts. This study proposes a comprehensive forecasting system to predict drug use and overdose trends by integrating diverse data sources, including police reports, social network data, medical records, and sewage-based drug epidemiology. Utilizing Recurrent Neural Networks (RNNs), the system aims to identify individuals at risk of opioid abuse by analysing demographic information, medical histories, and prescription records, while distinguishing between therapeutic and harmful usage. Emphasizing privacy protection, ethical data handling, and model interpretability, this approach seeks to enhance the accuracy and timeliness of overdose risk predictions. The findings have the potential to inform clinical decision-making, shape public health policies, and drive targeted interventions to mitigate the opioid epidemic.

DOI: https://doi.org/10.5281/zenodo.17430579

Published by: vikaspatanker

Authors: Shamli Gaikwad, Dixsha Wasnik, Stuti Tripathi, Shubhangi Rahangdale, Prof. Pooja H. Rane

Abstract: A web-based interactive platform called The Virtual Herbal Garden was created to close the knowledge gap between conventional medical procedures and contemporary digital accessibility. The platform, which has its roots in the AYUSH (Ayurveda, Yoga & Naturopathy, Unani, Siddha, and Homeopathy) healthcare system, uses multimedia integration, 3D visualization, AI chatbot support, and sharing and bookmarking tools to educate users about medicinal plants.This study describes how the project was developed and put into use utilizing cutting-edge web technologies like React.js, MongoDB, and APIs like Sketchfab and OpenAI. One major gap in the current digital herbal databases, according to the research, is the absence of easily accessible, interactive, and multilingual resources. To overcome these obstacles, an agile development methodology and user-centered design were applied.Improved user engagement, efficient plant discovery using search and filters, and improved instruction through interactive features are some of the main outcomes. Future improvements are suggested, such as mobile apps, AR integration, and AI-driven plant identification, while limitations like internet dependence and content scope are examined. In the end, this project shows how technology can be used to support natural health education, preserve indigenous knowledge, and stimulate interest in sustainable, traditional healing methods.

Published by: vikaspatanker

Authors: Ali Akbar, Komal Sarwar

Abstract: Heavy metals, prevalent in various environmental matrices due to industrial and agricultural activities, pose significant health risks, including the promotion of cancer through the induction of oxidative stress. This paper reviews the mechanisms by which heavy metals such as arsenic, cadmium, chromium, and lead contribute to oxidative stress, leading to cellular damage and cancer development. We explore the complex interplay between heavy metal exposure, oxidative stress, and the activation of key signaling pathways involved in carcinogenesis. Understanding these mechanisms is crucial for developing effective strategies to mitigate the health impacts of heavy metal exposure and improve cancer prevention efforts.

DOI: https://doi.org/10.5281/zenodo.17424408

Published by: vikaspatanker