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271 articles for “AI in medicine”
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Enhancing Cancer Diagnosis: AI/ML Algorithms and Nanotechnology-Based Biosensors for Colorectal Cancer Screening
Abstract: Colorectal cancer (CRC) is one of the most common and deadly cancers worldwide, and enhancing patient outcomes requires early identification. This study explores the potential of nanotechnology- enhanced biosensors and artificial intelligence/machine learning (AI/ML) algorithms to revolutionize colorectal cancer screening and diagnosis. Nanotechnology offers unique opportunities for the development of highly sensitive and specific biosensors capable of detecting cancer biomarkers at an early stage. By incorporating nanomaterials with exceptional optical, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 16–28 Read article
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The Power of Genetic Engineering in Revolutionizing Vaccines
Abstract: Genetic engineering techniques, including recombinant subunit, viral vector, and nucleic acid vaccines have transformed the landscape of vaccine development. These novel approaches offer precise antigen design, enhanced safety profiles, and rapid adaptability to emerging pathogens. Key advantages include improved efficacy through targeted immune responses, increased safety due to the absence of live pathogens, and the ability to modify vaccines to address new variants or diseases quickly. Notable success stories, such …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 18–27 Read article
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Integrating Advanced Technologies for the Scientific Revalidation of Ayurvedic Principles
Abstract: Background: Ayurveda, a 5,000-year-old holistic healthcare system, emphasizes the dynamic balance of body, mind, and spirit. Recent advancements in science and technology have accelerated its integration into global healthcare systems. Objective: This paper explores the contribution of modern tools and methodologies to the scientific validation and enhancement of Ayurvedic principles across education, clinical practice, and research. Methods: A comprehensive literature review was conducted using databases like PubMed, Google Scholar, and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 1–6 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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An in-silico toxicity study of the phytocompounds found in Pongamia pinnata leaves using the ProTox-II web server
Abstract: The aim of the current study was to determine the Insilco toxicity of the phytocompound present in the leaves of Pongamia pinnata. The leaves of Pongamia pinnata have long been used in traditional medicine for their therapeutic properties. Nowadays, herbal toxicity is a common problem caused by incorrect dosage. The FDA reviews the safety and effectiveness of herbal products only in response to patient or health care provider complaints—problems with …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 Read article
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Exploring the Role of Ginkgo biloba in Investigating 7L1X in Triple-Negative Breast Cancer Through Integrative Bioinformatics
Abstract: Objectives: Triple-negative breast cancer is a very dangerous form of cancer that affects mostly Hispanic and African American women above the age of 40. It represents approximately 15–20% of the global cancer incidence. This experiment aims to investigate the use of Gingko biloba in the treatment of the disease triple-negative breast cancer. Methods: We use a variety of online tools, and websites, including the Indian Medicinal Plants, Phytochemistry, and Therapeutics …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Role of Lifestyle Modifications in Controlling Hypertension in View of Traditional System of Medicine: An Appraisal
Abstract: Hypertension, a long-recognized condition, has been documented across various ancient medical systems including Chinese, Greeko-Arabic, and Indian Ayurvedic traditions. These traditional medicines identified correlations between pulse quality and vascular health, emphasizing the importance of managing arterial hardness. Historical figures, such as Huang Ti, Ali Ibn Abbas Majoosi, and Ibne Sina provided early insights linking dietary habits, such as salt intake, and mental stress to hypertension. Modern understanding further delineates hypertension …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Oral Health Among School Children in India: A Meta-Analysis
Abstract: Background: Good oral health is essential for overall well-being, and its foundation starts from a young age. Majority of people, especially school-aged children, suffer from dental conditions, such as gingivitis, periodontitis, and tooth decay. The Unani System of Medicine (USM) put a lot of emphasis on good oral health. According to the wisdom of USM, the entire health of an individual depends on their oral condition. Oral health is more …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 52–58 Read article
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Complications with Malware Identification in IoT and an Overview of Artificial Immune Approaches
Abstract: An immunity is facilitated by lymphocyte T&B-cells; that possess a wide range of T&B-cell; receptors, respectively. These cells can identify and react to pathogens and diseased cells by presenting peptide antigens by means of significant histocompatibility complexes (MHCs). The amount of data on the repertoire of adaptive immune receptors has increased dramatically in recent years because to advancements in deep sequencing. Furthermore, the presentation of peptides with MHC has been …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 54–62 Read article
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A study on Public Perception and self-medication practices with Over-the-counter (OTC) Drugs
Abstract: Over-the-counter (OTC) medications are commonly used by individuals for self-medication due to their easy availability and the general belief that they are safe. However, misuse can lead to negative health outcomes such as adverse reactions, drug interactions, and delays in seeking professional medical care. In a country like India, where enforcement of drug regulations can vary and socioeconomic factors play a major role, the practice of self-medication is especially widespread. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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In Silico Screening and Molecular Docking of Cynodon dactylon phytochemicals against COPD-Associated Proteins
Abstract: Chronic Obstructive Pulmonary Disease or COPD is a pulmonary disease that obstructs airways and alveoli accompanied by respiratory issues like emphysema and bronchitis. This disease is caused mainly by inflammatory responses of the body to foreign particles that enter the respiratory path including tobacco smoke, air pollutants and irritants. The hallmark of COPD is excessive inflammation caused by imbalance in protease anti-protease activity. Proteases like elastase breakdown the ECM of …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Clinical Medicine Done with Clinical Accuracy
Abstract: The advancement of clinical medicine has progressively underscored the significance of accuracy in diagnosis and therapy. This article examines the concept of "Clinical Medicine Administered with Clinical Precision," emphasising how innovations in diagnostics, data analytics, and personalised treatments are transforming the healthcare environment. Clinicians can provide therapy that is not only successful but also personalised to each patient's requirements by combining evidence-based practices with patient-specific factors including genetic profiles, comorbidities, …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 6–19 Read article
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Investigating the Impact of Viral Infections on Pharmacokinetics and Pharmacodynamics of Antiviral Drugs
Abstract: The emergence and re-emergence of viral infections pose significant challenges to public health, necessitating a comprehensive understanding of how these infections impact the pharmacokinetics and pharmacodynamics of antiviral drugs. This review explores the intricate interactions between viral pathophysiology and the pharmacological effects of antiviral agents. Factors such as viral replication dynamics, host immune responses, and the genetic variability of both viruses and hosts significantly influence drug absorption, distribution, metabolism, and …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 23–30 Read article
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Evidence-Based Ayurveda Approaches for the Rapid Management of Dyslipidemia
Abstract: Dyslipidemia is increasingly prevalent ain modern society, primarily resulting from imbalances in lifestyle and dietary habits. Elevated levels of triglycerides, however, are associated with an increased risk of cardiovascular diseases and metabolic disorders. Ayurveda, the traditional Indian system of medicine, offers holistic approaches to managing lipid imbalances through dietary regulation, herbal formulations. While it may not directly correspond to a specific disease entity in Ayurveda, it is typically associated with …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 63–66 Read article
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Modern Approaches in Lung Cancer Management from Herbal Nanomedicine to Artificial Intelligence
Abstract: Lung cancer continues to be a major global health concern and one of the leading causes of cancer-related mortality worldwide. Despite significant advancements in therapy, there is still a pressing need for safer and more effective therapeutic alternatives; problems such drug resistance, side effects, metastasis, and recurrence continue to impact patient outcomes and quality of life. Examining current advancements in the use of herbal drug-loaded nanoparticles as a novel approach …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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IoT-Based Automated Medication Management System
Abstract: An Internet of Things (IoT)-based automated medication dispenser with an integrated alert system is presented in this research. The device is managed by an ESP32 microcontroller, which is paired with a Real-Time Clock (RTC) module to ensure medication is dispensed at the correct time. To facilitate the dispensing process, the system uses servo and stepper motors to rotate the medication carousel and release the appropriate dosage. To determine whether the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 16–21 Read article
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Pharmacogenomics in Anesthesia: Individualized Drug Responses
Abstract: Pharmacogenomics is the study of how a person’s genes influence how they react to medications. Pharmacology, the study of medications, and genomics, the examination of genes and their functions, merge in this field to develop safe, effective drugs that can be prescribed based on an individual’s genetic makeup. Pharmacogenomics examines how an individual’s unique genetic makeup can influence their responses to certain drugs. In anesthesia, where individual responses to pain …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 83–95 Read article
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article