Volume 13 | Issue 3 |

 Abstract

Pharmacovigilance, which includes identifying, assessing, comprehending, and preventing pharmacological side effects, is essential for patient safety. This review addresses its relevance, necessity, operation, purpose, and significance. It also increases awareness of adverse drug reactions (ADR) in India.

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 Keywords

Pharmacovigilance, Adverse drug reaction, Clinical trial, Drug safety

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study carried out by the researcher is a combination of artificial intelligence (AI) in cybersecurity which has revolutionized the digital security landscape, enhancing threat detection, response efficiency, and risk management. However, the innovation raises tough legal questions such as regulatory compliance, privacy, and liability resulting from AI-driven decisions. Ethical concerns such as AI algorithm bias, transparency, and misuse further complicate its implementation. This paper examines the emerging legal frameworks governing AI in cybersecurity, pinpoints significant ethical issues, and evaluates future trends for striking a balance between innovation and responsible AI governance. By examining current trends and proposing regulatory remedies, this study aims to contribute to the creation of a secure and ethically sound AI-based cybersecurity ecosystem.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, ecosystem, cybersecurity,response efficiency,ai governance, regulatory remedies,risk management.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetic nephropathy (DN) is a progressive kidney disease that can lead to severe complications if not detected early. This study proposes a hybrid machine learning approach using TabNet and XG Boost to classify DN into five distinct stages: hyperfiltration, microalbuminuria, macroalbuminuria, chronic kidney disease, and end-stage renal disease. TabNet effectively learns important features, while XG Boost enhances classification accuracy. In addition to precise stage identification, this approach also provides personalized treatment recommendations tailored to each stage The integration of machine learning ensures a more efficient and reliable diagnostic process, reducing the chances of misclassification. This study aims to assist healthcare professionals in early diagnosis and decision-making, ultimately improving patient care and outcomes.

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 Keywords

Diabetic nephropathy, machine learning, TabNet, XG Boost, disease classification, treatment recommendations

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 Abstract

Type 2 diabetes is a chronic metabolic disorder characterized by insulin resistance and impaired beta-cell function leading to elevated blood glucose levels. The global prevalence of T2D has reached alarming levels, posing a significant economic burden due to related healthcare costs and complications, including cardiovascular disease and kidney failure. This disease involves a complex interplay of genetic, environmental, and lifestyle factors, with obesity and physical inactivity being significant contributors. Good management of T2D incorporates lifestyle interventions together with pharmacological treatments, initially metformin. Recent advancements in pharmacotherapy, including GLP-1 receptor agonists, SGLT2 inhibitors, and newer therapies, have transformed treatment in an effort toward individualized care for patients. Obstacles to medication adherence, lifestyle changes, and comorbidities persist and are further exacerbated by social determinants and health inequities. The course ahead is through precision medicine and integration of technology to explore newer avenues of therapy to better the outcomes for patients in T2D management.

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 Keywords

Type 2 diabetes (T2D) , Complications , GLP-1 receptor , Pharmacologic Therapy , Key Benefits , Future Directions , DPP-4 Inhibitors .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ardhavabhedaka is one among the Shirorogas explained by various Acharyas with the cardinal feature of unilateral headache, which when left untreated may lead to complications like Vinasha of Nayana and Shravan i.e., blindness and hearing loss. This disease can be correlated to Migraine headache due to the similarities between the clinical manifestations. It is the second-leading cause of disability worldwide, considerably limits functioning abilities and has both physical and psychological impacts associated with an increased prevalence of depression and panic attacks. Nidana is the primary cause of manifestation for every Vyadhi, and Nidana Parivarjana is thought to be a sort of cure. This illustrates the crucial role of the Dosha Prakopaka Nidana in the beginning of sickness. As a result, a particular questionnaire based on Dosha Prakopaka Nidana was developed in order to look into specific Dosha Prakopaka Nidana and Samprapti. As a result of sticking to Nidana Parivarjana and thereby practicing Pathya, one might reduce the likelihood of experiencing Vyadhi by being aware of the Dosha Prakopaka Nidana. Though, finally it will give a proper knowledge regarding how the etiological factors of Ardhavabhedaka in the present era can be connected to the causative factors of Ardhavabhedaka.

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 Keywords

Ardhavabhedaka, Migraine, Shiroroga Nidana, Nidana Parivarjana

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 Abstract

Virtual laboratories have emerged as an innovative tool in contemporary education that provides an interactive environment for simulations and experimentation without actually setting up physical laboratories. This research examines the perception of pre-service teachers about virtual labs, including awareness, challenges, limitations, and scope for the future in education. The results reveal that although most pre-service teachers are familiar with virtual labs, a significant portion lack in-depth understanding and direct experience with them. The main issues are technical, such as connectivity problems with the internet, poor accessibility, and inadequate curriculum integration. In addition, most respondents also complained of poor training, which prevents them from incorporating virtual labs effectively in teaching processes. Though with such limitations, there is strong consensus regarding the potential of virtual labs to make learning more student-centric, economically viable, and a substitute to conventional lab settings. The study calls for planned training programs, enhanced technological setup, and quality curriculum integration for ensuring maximum productivity of virtual labs. By solving these issues, virtual labs have the potential to revolutionize education, facilitating hands-on learning in a more accessible and streamlined manner.

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 Keywords

Virtual Labs, Pre-service Teachers, Contemporary Education, Edtech, Teacher Training, Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rasayana herb, guduchi (Tinospora cordifolia), is well known for its restorative qualities and has been documented in Ayurvedic and other ancient texts. It is a pretty widespread plant that grows over tiny trees and hedges in arid deciduous woodlands. In Ayurveda and other medical systems, different plant parts are given as either monoherbal or polyherbal remedies. getting ready. In India, the plant's extracts are used to cure a wide range of illnesses and are a component of several polyherbal formulations that are used to treat conditions like hepatitis and diabetes. Guduchi is highly commercially exploitable because every portion of it has some medical value. Significant advancements in its biological activity and therapeutic uses have been made in the previous few decades. As a result, it can be used as a source to create industrial goods that treat a variety of illnesses. We have made an attempt to gather the material on this plant that is now available, focusing mostly on its medicinal uses from the very beginning. This article provides an overview of the primary biological activities, pharmacological effects, and therapeutic uses of guduchi extracts. It also discusses the biological activities of a few isolated guduchi compounds.

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 Keywords

T.cordifolia, Anti-diabetic, Phytomedicine, Ayurveda.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Making informed food choices can be challenging due to the wide range of options and unique nutritional needs that each individual faces. This study examines the creation of an AI powered food application designed to simplify food choices and promote healthy eating habits. The app combines advanced food selection with a personalized recommendation system. It gives users the tools to make smarter, more appropriate nutritional decisions. The food recognition feature uses AI and image processing. Allows users to analyze photos of food or ingredients. It provides immediate nutritional insights and recipe ideas. The app's recommendation system also goes a step further to suggest foods tailored to individual needs, taking into account personal preferences. health goals and dietary constraints. This innovative approach bridges the gap between convenience and data-driven decision-making. Helps users better understand their food choices. and promote food exploration Research shows that integrating technology into daily meals can inspire healthier habits. Improve overall well-being and foster a deeper relationship with food. By making the process of meal planning and understanding more engaging and accessible. This tool has the potential to change the way people interact with food and support long-term lifestyle improvements.

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 Keywords

Food Recognition System, Food Recommendation System, Image Classification, Artificial Intelligence(AI),Machine Learning(ML),Image Recognition(IR)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Flutter-based ride-sharing app enhances urban mobility by connecting passengers with nearby drivers in real time, ensuring efficient, cost-effective, and seamless transportation. Leveraging GPS tracking and secure payment integration, it offers a user-friendly experience with optimized route selection and ride scheduling.

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 Keywords

ride-sharing, concurrency control, scalability, two-phase locking, timestamp protocols, Flutter, MySQL.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Blood donation is the cornerstone of healthcare, but traditional systems in blood management often face problems of data security threats, the mismatch of donor-recipients, and low donor engagement. It also has to be a challenge in emergencies: to locate the nearest donors and hospitals. BloodConneX deals with this challenge by means of data security via the use of SHA-256 cryptographic hashing, monitoring the status with WebSockets, and gamification mechanisms to attract the donors. Plus, locating donors and hospitals is possible through a map view, which allows for real-time navigation and voice guidance. Once clicked on the "Get Direction" button, a user will get a list of step-by-step instructions to reach the donor location. Upon searching for hospitals, the system identifies the user's location and gives voice-guided directions to nearby hospitals, which is said to reduce emergency response time and ease of access to donation. BloodConneX thus presents a safer, simpler, and more engaging way to manage blood donations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blood donation management, cryptographic security, WebSockets, gamification, real-time tracking, location-based navigation.

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Creative Commons Attribution 4.0 and The Open Definition