ethical considerations
9 articles · search the full text for this term
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Ethical Challenges in Natural Language Processing: A Comparative Study of Solutions Across Multiple Domains
Abstract: This comparative analysis investigates the ethical challenges associated with natural language processing (NLP) by reviewing and synthesizing insights from ten influential and widely cited publications in the field. As NLP technologies are increasingly integrated into domains such as healthcare, finance, education, and governance, ethical concerns related to algorithmic bias, data privacy, fairness, accountability, and system transparency have become more prominent. This paper systematically examines how different researchers conceptualize and address …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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Gene Drive Technology: Potential and Risks for Global Biodiversity
Abstract: Gene drive technology has emerged as a groundbreaking tool with significant potential to address critical global challenges, particularly in managing and preserving biodiversity. By enabling targeted alterations to the genetic makeup of species, gene drives could facilitate the control of invasive species, mitigate vector-borne diseases, and even aid in the restoration of endangered species. However, the rapid pace of development and deployment of gene drive technologies raises concerns about unintended …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 6–10 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Emotionally Intelligent AI: The Future of Mental Health Care and Emotional Well-being
Abstract: With the potential to improve emotional well-being through sophisticated AI systems, emotionally intelligent AI (EI-AI) represents a revolutionary frontier in mental health treatment. EI-AI can recognize, understand, and react to human emotions in real- time by utilizing recent advancements in machine learning, natural language processing, and emotion detection. These features are being used more and more in mental health settings, where chatbots and other AI-driven interventions help with emotional regulation, …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 17–21 Read article
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Cancer Tumor Markers And Its Latest Trends
Abstract: Almost one in six deaths occurs due to abnormal cell division; these cells are termed cancer cells in general. Cancer cells collaborate to multiply and metastasize. Our aim is to awaken awareness in people to understand their bodies and motivate them for early diagnosis,as cancer is the second leading cause of death after cardiovascular disease. The human body is a marvellous creation in nature; in response to cancer, it creates …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 25–38 Read article
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Pharmacogenomics and Precision Medicine: An Evolving Analytical Clinical Tools for Future Medicine – A Narrative Review
Abstract: The term Pharmacogenomics is coined as an emerging field that exactly examines how the genetic variations influence the individual responses towards medications. This discipline in turn integrates the pharmacology as well as genomics to facilitate the personalized medicine, encouraging the healthcare providers to tailor their drug therapies based on individual patient’s genetic profile. Key applications include optimizing drug efficacy, minimizing adverse effects, and enhancing treatment outcomes across various medical fields, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 44–52 Read article
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Social Media Analysis Using Big Data
Abstract: Social media has become an essential aspect of everyday life across different age groups, serving functions ranging from sharing personal updates to staying informed about social developments. Our objective is to harness big data to extract meaningful insights from the immense and ever-expanding volume of data generated on social media platforms. We will collect and analyze data from various social media sources, including text, images, and user interactions, using cutting-edge …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 35–46 Read article
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Bacteriophage Therapy in Dairy Farming: A Potential Alternative to Antibiotics
Abstract: The widespread use of antibiotics in dairy farming to control bacterial infections has led to significant challenges, including the emergence of antibiotic-resistant bacteria and concerns over antibiotic residues in milk. Consequently, there is an increasing demand for alternative approaches to control bacterial infections in dairy cattle. One promising solution is bacteriophage therapy, which uses viruses that selectively infect and destroy bacteria. As a result, the need for new strategies to …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–5 Read article
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The Future of Healthcare: Role of Artificial Intelligence in Revolutionizing Nursing
Abstract: Artificial intelligence (AI) is rapidly transforming the healthcare industry, and nursing professionals stand to benefit significantly from its integration. This article explores the role of AI in revolutionizing nursing, highlighting its applications, benefits, challenges, and ethical considerations. Drawing on examples from countries actively integrating AI into nursing services such as the United States, the United Kingdom, China, and Japan, the article discusses how AI supports nursing tasks, enhances patient care, …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 1–5 Read article