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940 articles for “patient”
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Effective Homoeopathic Management of Allergic Rhinitis: A Case Series Utilizing Hepar Sulph 30 and Histamine 30 with Dietary Modifications
Abstract: Background: Allergic rhinitis (AR), means our immune system intruded by some allergens which is typically a harmless substance. These allergens are found in the air we breathe, in the food we eat, in the water and fluids we drink. These allergens are attacking on our immune system and the immune system responds to the allergens by releasing histamine and chemical mediators that cause symptoms in the nose, throat, eyes, ears, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 12–16 Read article
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Climate Change Impacts on Health: Addressing Temperature Variations With Homeopathic Solutions
Abstract: This study is focussed on the impacts of climate change on health, specifically focusing on temperature variations and proposing homeopathic solutions. Climate change, recognized as a critical issue of the 21st century, has wide-ranging effects on human health, including direct impacts such as heat-related illnesses and deaths, as well as indirect effects like increased prevalence of vector-borne diseases and food shortages. Vulnerable groups, including the elderly, are especially at risk. …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Toxicological Optimization and Assessment of Buccal Films Containing Felodipine Co-crystals to Enhance Bioavailability
Abstract: The preformulation study of felodipine was carried out and it was found that the drug is poorly water soluble. The co-crystals were prepared using three different co-formers sorbitol, ascorbic acid and oxalic acid. The solublity enhancement was observed in combination with sorbitol compared to other co-formers used. The characterization of co crystals was performed like PXRD, FTIR, SEM Analysis. XRD results indicates the amorphous form of the drug. The co-crystals …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 2, 2024 · pp. 10–29 Read article
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Prevalence and Distribution of Staphylococcus Aureus in Clinical Samples Across Age Groups
Abstract: The bacteria that cause everything from ordinary skin infections to serious illnesses is called Staphylococcus aureus. It is now known that Staphylococcus aureus may develop resistance to a variety of drugs. Staphylococcus aureus has been displaying an unusual kind of resistance to antibiotics, especially to those based on β-lactum. As a result, Methicillin Resistant Staphylococcus Aureus (MRSA) is the new name for the resistant strain of Staphylococcus aureus. The prevalence …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 15–19 Read article
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Therapeutic Potential of Composite Flour Prepared from EleusineCoracana and Cicer Arietinum
Abstract: Composite flour is a mixture of wheat and non - wheat flours used for the preparation of bakery products such as, breads, tarts, muffins, biscuits etc that is rich in protein and starch. Finger millet is considered as a special food supplement because of its unique nutritional properties when compared with other cereals. It is also known as poor man’s food. Many dishes, both in their natural and malted forms, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 · pp. 31–41 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Evaluating the Use of Antibiotic Prophylaxis in Surgical Procedures: A Study Conducted at a Tertiary Care Teaching Hospital in Southern India
Abstract: Background: Prophylactic antibiotics can reduce the frequency of postoperative wound infections. Well-designed trials have demonstrated that the appropriate administration of prophylactic antibiotics in surgeries can reduce postoperative infections to about one-half of the incidence in untreated patients. Objectives: To examine surgeon's adherence to the hospital's antibiotic policy by comparing and assessing the usage of antibiotics as prophylactic before surgery. Methods: A prospective observational study was carried out among inpatients in …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 7–17 Read article
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Novel Nanotherapeutics for the Management of Diabetes
Abstract: Diabetes is a severe chronic disorder with hyperglycemia, either due to dysfunctional pancreas(Type I) or due to malfunctioned glucose utilizing entities like: liver, straight muscle or adipocytes (Type II). Type 1 or Insulin-dependent/Juvenile diabetes and Type 2 Diabetes Mellitus or Non-Insulin dependent/Adult-onset diabetes are the two broad classifications of diabetes. In case of type 1 diabetes injectable insulin is the major form of medication given and in case of Type …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 46–67 Read article
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Bioconjugates and Biohybrid Polymers: Intricate Cellular Integration Methods and Sophisticated Biofunctionalization Techniques for Tailored Properties in Medical Contexts
Abstract: Bioconjugates are made when biological molecules are covalently linked to manufactured polymers. They can be used in many ways for imaging, diagnosis, and specific drug delivery. Getting perfect cellular fusion is very important for how well they work. Biomolecules can be attached to polymer scaffolds in a controlled way using techniques like click chemistry and site-specific conjugation. This makes sure that the molecules connect optimally with their biological targets. Using …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 227–243 Read article
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Automatic Stroke Recovery Rate Prediction System Based on Movement Analysis During Computer Interaction
Abstract: Stroke is a major health concern worldwide, often resulting in impaired motor functions and affecting the quality of life for affected individuals. This research introduces an innovative approach for predicting stroke recovery rates by leveraging movement analysis during computer interaction. The proposed system aims to provide a non-invasive and automated solution to assess the rehabilitation progress of stroke survivors. The system utilizes advanced motion tracking technologies to capture and analyze …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 76–82 Read article
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Differential Scanning Calorimetry, Thermogravimetric Analysis, and Dynamic Mechanical Analysis for Advanced Medical Materials
Abstract: Modern healthcare depends on advanced medical products that come up with new ways to care for and help patients. Characterizing these products is important to make sure they are safe, effective, and work well. While there are many analysis methods, Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), and Dynamic Mechanical Analysis (DMA) are the most important ones for checking the temperature and mechanical qualities of medical materials. By measuring the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 57–72 Read article
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Current Perspectives of Prader -Willi Syndrome: A Multisystem Approach
Abstract: Prader-Willi syndrome (PWS) is a genetic disorder with multisystem involvement, caused by the lack of expression of genes on the paternally inherited chromosome 15q11.2-q13 region from paternal 15q11-q13 deletions (about 60%) or maternal uniparental disomy 15 or both. It is a complex and contiguous gene disorder which affects the multiple systems with many clinical presentations especially hypothalamic insufficiency. The clinical features are characterized by short stature position, developmental delay, cognitive …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 42–48 Read article
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Robotics & Automation: Will it be the Game Changer in the Indian Healthcare Industry?
Abstract: Healthcare can be defined as improvement of health of the population by preventing and curing disease (includes both physical and mental impairments) by proper diagnosis and treatment. Robotics is the study of two interdisciplinary subjects, one of which is engineering and the other is computer science. Robotics includes various processes such as construction, design, logical arrangement and use of robots for ensuring accuracy of the services to be provided. Robotics …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 33–45 Read article
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Role of Epigenetic Mechanisms in Lung Fibrosis: Therapeutic Opportunities and Challenges
Abstract: Lung fibrosis poses a serious risk to one's health since it might result in respiratory failure due to an abnormal accumulation of fibrotic tissue in the lungs. Epigenetic mechanisms, such as histone changes, DNA methylation, and non-coding RNAs, closely control gene expression patterns and cellular processes associated with lung fibrosis. Anomalies in DNA methylation patterns connected to changes in gene expression profiles and disturbances in fibrotic signalling pathways are potential …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 9–20 Read article
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Necrotizing Enterocolitis (NEC): A Devastating Neonatal Gastrointestinal Disorder
Abstract: Necrotizing enterocolitis (NEC) represents a formidable challenge in neonatal medicine, particularly afflicting premature infants with its characteristic features of severe intestinal inflammation and necrosis. Despite advancements in neonatal care, NEC continues to exact a heavy toll, standing as a prominent cause of morbidity and mortality in this vulnerable population. Its multifaceted etiology, encompassing prematurity, enteral feeding practices, alterations in microbial colonization, and episodes of intestinal ischemia, underscores the complexity of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 78–83 Read article
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Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques
Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Exploring Family Systems Therapy (FST) in Substance Dependence
Abstract: This paper intends to explore how family systems therapy (FST) can be utilized to address substance dependence issues. Substance abuse not only affects the individual but also impacts the extended family members' physical, emotional, and psychological health. The substance use disorder (SUD) not only has an impact on the individual, but also influences family members. This narrative review provides an examination of the connection between substance dependence and the family …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 9–26 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article