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203 articles for “personalized healthcare”
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Nanotechnology-Enabled Biosensors for Early Disease Diagnosis and Personalized Healthcare Monitoring
Abstract: Nanotechnology has revolutionized the field of biosensors, enabling early disease diagnosis and personalized healthcare monitoring. Utilising the special qualities of nanomaterials—such as their high surface-to-volume ratio, remarkable electrical and optical capabilities, and customised surface chemistry—nanotechnology-enabled biosensors create extremely sensitive and focused diagnostic instruments. With previously unheard-of sensitivity and accuracy, these biosensors are able to identify and measure a wide range of biomarkers, such as proteins, nucleic acids, and tiny molecules. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 1–15 Read article
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Advances in Polymeric In Situ Drug Delivery and Soft Biosensors: Innovations in Biochemical Sensing and Personalized Healthcare
Abstract: Advanced healthcare and personalized medicine are undergoing a transformation thanks to in situ medication delivery systems and biochemical sensor technology. Polymeric in situ drug delivery systems form gels upon administration, releasing medications in a controlled manner and providing benefits such as ease of administration and enhanced patient compliance. Similarly, advancements in soft electronics, including flexible and stretchable biosensors, enable continuous, in situ biochemical monitoring, conforming to complex biological environments like …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 27–32 Read article
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A Study of Trends in Healthcare Spending in India
Abstract: The total health services expenditure in India over a year has been pegged at 3.6% of GDP while the average person has to spend as much as 9,373 health expenses during the period, resulting in high costs on health services. About 3.2% of Indians fall below the poverty line by selling their wealth. Statistical data has been obtained and studied here from the reports of WHO, NHA and World Bank. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 24–28 Read article
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Next Generation Sequencing (NGS) in Personalized Medicine: Emphasizing Public Health Beyond Reality
Abstract: NGS is a modern technology that allows researchers to quickly sequence large amounts of DNA or RNA, it is also known as massively parallel sequencing or deep sequencing. NGS has revolutionized genomic research and biological sciences by its speed, scale, accuracy, ultra-high throughput, and cost. NGS replaced the conventional sequencing method. A novel idea in healthcare is precision medicine, which involves adjusting medical care to each patient’s unique traits and …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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Transforming the Healthcare Industry Involves Leveraging Technology Make More Accessible
Abstract: In recent times, transforming healthcare has occupied prominence as information technology advances. This method utilizes cutting-edge technologies such as the Internet of Things (IoT), big data analytics, cloud computing, and artificial intelligence to transform conventional healthcare systems. Its primary aim is to enhance the efficiency, accessibility, and personalization of medical services. In this review, we outline the key technologies supporting smart healthcare and discuss its current status in various important …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 06–12 Read article
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Future Prospects of AI in Pharmaceutical Industry and its Limitation
Abstract: The pharmaceutical industry is facing significant challenges, including prolonged drug development timelines, high costs, and low success rates in clinical trials. Traditional methods often result in inefficiencies, with new drug development taking over a decade and billions of dollars, yet most candidates fail in clinical trials due to issues like inefficacy or safety concerns. Artificial Intelligence (AI) has become a groundbreaking technology with the potential to tackle these issues effectively. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 6–13 Read article
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Personalized Medicines in Pharmaceutics: Drug Delivery System
Abstract: Pharmaceutics personalized medicine is a developing area that seeks to customize medical interventions for specific patients. Instead of a one-size-fits-all approach, personalized medicine focuses on developing treatments that consider a person’s unique characteristics, such as their genetic makeup, environment, and lifestyle. This allows for more effective treatment outcomes, as drugs are specifically designed to work best for each patient, reducing side effects and improving therapeutic results. In pharmaceutics, this involves …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 11–22 Read article
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Occupational Health and Safety Measures Among Healthcare Workers in Ancillary Departments of Private and Tertiary Care Hospitals of North India
Abstract: The purpose of this study is to evaluate healthcare workers’ knowledge, attitudes, and behaviors about Occupational Health and Safety (OHS) measures in ancillary departments of private and tertiary care hospitals in North India. 860 respondents, representing a wide spectrum of healthcare personnel, were given a thorough survey to gauge their knowledge of OHS procedures, their training, and their compliance with safety precautions. The poll also aimed to determine the typical …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 7–16 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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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Development of Web-enabled Smart Hospital Management System: Patient Data Visualization and Real-time Decision Making
Abstract: As everyone is aware, fewer people had access to healthcare services, which prevented many people from receiving the care they needed. The idea that, by WHO criteria, there should be one physician for every 1,000 patients is nearly unbelievable. Yet, India’s current ratio is a staggering 1:1445. This disparity highlights a serious gap in healthcare resources that cannot be ignored. Authors remember speaking with a friend who works in a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Noise Pollution in Healthcare Settings: Impacts on Patient Recovery and Staff Well-Being
Abstract: Healthcare environments frequently experience noise pollution, which has serious effects on both patient recovery and the well-being of healthcare staff. This extensive research study includes patient rooms, waiting spaces, and corridors as part of its effort to measure and categorize noise levels. The study explores the complex effects of noise pollution on patients and healthcare personnel by integrating quantitative measures, surveys, and qualitative evaluations. According to preliminary research, loud surroundings …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 1, 2023 · pp. 19–24 Read article
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The Role of Bioinformatics in Nursing: Transforming Healthcare through Data-Driven Insights
Abstract: Bioinformatics, an interdisciplinary field combining biology, computer science, and information technology, is increasingly shaping the nursing profession. It offers powerful tools for improving patient care, advancing clinical research, and enabling personalized healthcare through data-driven decision-making. This article examines the integration of bioinformatics into nursing practice, tracing its historical roots from the Human Genome Project to its current applications in genomic medicine, precision healthcare, and population health. Nurses now play a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 18–21 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Design and Implementation of a Polymer-Integrated IoT-Based Smart Intravenous Fluid Monitoring System for Patient Safety
Abstract: The intelligent healthcare systems rely more and more on the advanced materials and Internet of Things (IoT) technologies to improve patient safety, patient-centeredness, timeliness of care, clinical efficiency. This paper presents a polymer-enhanced IoT enabled automatic IV Fluid Level monitoring and notification system. The novel system is based on the use of polymer-encapsulated load-cell sensors and polymer-packaged electronic modules, which allow biocompatibility, long-term stability and easy sterilisation in medical environments. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 730–742 Read article
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Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics
Abstract: The worldwide health burden of liver diseases is substantial, and effective treatment and management depend heavily on early detection. This study investigates the integration of nanotechnology-enhanced wearable biosensors with artificial intelligence (AI) techniques for predictive analytics in liver disease detection. The construction of extremely selective and sensitive biosensors that can identify a variety of biomarkers linked to liver illnesses has been made possible via nanotechnology. These nanotechnology-based biosensors can be …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 22–36 Read article