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307 articles for “healthcare applications”
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Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects
Abstract: Among the many ways in which mental health services are gaining from the integration of artificial intelligence (AI) are improvements in diagnosis, tailored treatment programs, and round the- clock patient help. Two AI-driven solutions are virtual therapists and prediction algorithms, which could increase access to mental health therapy and enable early intervention. However, the application of artificial intelligence in this field raises ethical concerns about privacy, discrimination, and the potential …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Care Taker Bot: A Smart Assistive Device for Elderly Care
Abstract: The growing demand for assistive technologies in healthcare and elderly care has driven the development of intelligent robotic systems. This research work describes the design, hardware integration, and software implementation of a caretaker bot built around the Raspberry Pi 4B module. The system combines essential components such as a speaker, a buzzer, a power bank for portability, a SIM card module for cellular connectivity, and a mobile application for real-time …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 14–22 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Wearable Devices Incorporating Nanostructured Biosensors: Enabling Real-Time Monitoring and User-Friendly Interfaces
Abstract: Wearable devices incorporating nanostructured biosensors have emerged as a revolutionary technology, enabling real-time monitoring of various physiological parameters and biomarkers. These devices leverage the unique properties of nanostructured materials, such as high surface-to-volume ratio, enhanced sensitivity, and improved electrical and optical characteristics, to achieve exceptional performance in terms of sensitivity, selectivity, and response time. This chapter explores the recent advancements in wearable devices with nanostructured biosensors, highlighting their applications in …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 13–21 Read article
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The Intersection of Bioinformatics and Cellular Function in Disease Modeling
Abstract: The integration of bioinformatics and cellular biology has revolutionized our understanding of disease mechanisms, offering unprecedented opportunities to model complex biological systems. Bioinformatics is an interdisciplinary field that merges biology, computer science, and statistics, offering advanced tools to analyze vast biological datasets. Cellular functions, including gene expression, protein interactions, and metabolic pathways, form the foundation of physiological and pathological states. Disruptions in these processes can result in diseases like cancer, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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6G Frontier Exploration Analysis: Technologies, Vision, Insight and Challenges
Abstract: 6G wireless communication represents a revolutionary leap forward in connectivity, offering unprecedented speed, reliability, and security. Emphasizing machine-to-machine communication, terahertz frequencies, and advanced security protocols, 6G aims to create a data-driven society where connectivity is instant and limitless. By integrating cutting-edge innovations such as artificial intelligence, 6G has the capacity to reshape various sectors, including healthcare, urban planning, and manufacturing, facilitating smarter and more efficient systems. The current paper provides …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
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Pain Management Through Ayurvedic Tablets and Capsules
Abstract: Triphala Guggulu is a classical formulation widely used in Ayurveda for the management of metabolic and inflammatory disorders. It represents a synergistic combination of Triphala – composed of Emblica officinalis, Terminalia bellirica, and Terminalia chebula – along with the oleo-gum resin of Commiphora mukul. In traditional Ayurvedic practice, this formulation has been prescribed for conditions, such as arthritis, obesity, hyperlipidemia, and chronic constipation, primarily due to its reputed ability to …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 1, 2026 · pp. 23–28 Read article
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Advancements in Reinforcement Learning: A Comprehensive Analysis of Algorithms, Applications, and Future Directions in Artificial Intelligence
Abstract: This work provides an overview of Reinforcement Learning (RL), an important field of artificial intelligence (AI) aims to provide the long-term benefits by learning a relating with a given environment. It spells out everything, what agents and environments do, to how rewards, states, and behaviours. It spent lot of time on looking the most usable RL algorithms, like DQN, SARSA, and Q-Learning. These studies provide a clear view of RL. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 17–22 Read article
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Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology
Abstract: The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 54–63 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Breakthroughs in Biotechnology for the Regulation of Infectious Diseases
Abstract: Infectious diseases have a heavy impact on both public health and the world’s economies. In most diseases, antibiotic resistance has become widespread over time. A variety of diseases comprising pneumonia, tuberculosis, and gonorrhea go through the same evolutionary processes, which include the formation of drug-resistant pathogens in response to selection pressure from medications and their potential extinction when drug use is ceased. Since the occurrence of drug resistance in serious …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 1, 2025 · pp. 1–25 Read article
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Effectiveness of Alcohol-Based Hand Rubs in Glove Hygiene: A Meta-Analysis and Systematic Review
Abstract: Introduction: Hand hygiene is crucial for preventing hospital-acquired infections, though gloves have been reported to curb the spread of infection, but they have their limitation. While recommended for specific procedures, they don't guarantee complete protection and frequent changes are resource limiting. This study investigates the potential of alcohol-based hand rubs (ABHR) for disinfecting gloves worn by healthcare workers (HCWs). Methodology: We conducted a meta-analysis searching six databases for studies on …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 · pp. 33–45 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Advancements In Technologies and Their Impacts On Mental Health Care With Special Reference to Ethical Considerations
Abstract: Mental health technology has seen remarkable progress in recent years, leveraging digital tools to improve diagnosis, treatment, and patient engagement. This review article examines the evolving role of technological innovations in mental health care, drawing insights from a range of scholarly reviews and research articles that explore the intersection of mental health and technology. Key advancements highlighted in this paper include artificial intelligence (AI), telemedicine, mobile health applications, serious games, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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SIBR/Aloe barbadenis Mill.: A Review on Medicinal Utility from the Perspective of Unani Medicine
Abstract: Aloe barbadensis Mill., known as Sibr in Unani medicine, is a time-honored medicinal plant belonging to the family Liliaceae. Revered across cultures and healing systems, it has been extensively described in Unani literature under various names such as Elwa, Musabbar, and Ghikwar. This review aims to comprehensively explore the medicinal utility of Sibr from an Unani perspective while integrating evidence from modern pharmacognosy, phytochemistry, and pharmacology. Traditionally, the dried juice …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing
Abstract: Apart from its academic origins, the evolution of Artificial Intelligence (AI) has emerged as a notable influence in shaping our daily experiences. Artificial intelligence, which focuses on domains such as image processing and pattern recognition, encompasses a vast array of topics, including its complex applications, obstacles, and societal repercussions. Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Knowledge Representation, and AI Ethics are among the domains in which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article