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205 articles for “Diagnosis and treatment”
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A Comprehensive Review on Monkeypox Infection
Abstract: Monkeypox represents a zoonotic viral affliction instigated by the monkeypox virus, which is classified within the Poxviridae family and is distinct from the virus that causes chickenpox. Initially recognized in 1958, this infection has recently attracted international scrutiny due to its escalating incidence beyond traditional endemic territories. This review delivers an exhaustive examination of monkeypox, encompassing its epidemiology, viral morphology, modes of transmission, pathogenesis, clinical presentations, and therapeutic interventions. The …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 23–32 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 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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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Polycystic Ovarian Syndrome and Its Management in Unani System of Medicine – A Comprehensive Review
Abstract: Polycystic ovarian syndrome (PCOS) is a prevalent endocrine disorder that significantly impacts women’s reproductive and metabolic health. It often leads to anovulation and infertility, creating distress for those affected. Additionally, PCOS increases the risk of developing diabetes and other long-term health complications. Recognizing and addressing PCOS is crucial, as early intervention can improve quality of life and prevent serious health issues. Common symptoms are polymenorrhea, oligomenorrhea, amenorrhea, hirsutism, acne, weight …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 13–24 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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Chemical Preparation Methods of Nano Material with their Applications
Abstract: Scientists were not satisfied with the diagnosis, exploration, injection and imaging through modern medical nanotechnology, but they were also able through this technology to activate smart microscopic bombs that target the cancer cell and detonate it, killing the cancer cells. This technology was tested on laboratory mice and achieved great success. Nanotechnology is the technology of the future, not only in the medical and therapeutic aspect, but also in everything …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Chemical Preparation Methods of Nano Material with their Applications
Abstract: Scientists were not satisfied with the diagnosis, exploration, injection and imaging through modern medical nanotechnology, but they were also able through this technology to activate smart microscopic bombs that target the cancer cell and detonate it, killing the cancer cells. This technology was tested on laboratory mice and achieved great success. Nanotechnology is the technology of the future, not only in the medical and therapeutic aspect, but also in everything …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 1–9 Read article
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Potential Implication of Ayurveda in Hemiplegia: A Case Study
Abstract: Introduction: The most prevalent condition, hemiplegia, is caused by a stroke that results in a neurological deficiency affecting one or both sides of the body, affecting the face, upper and lower limbs, and trunk. Due to similarities in clinical signs and symptoms, this illness and Pakshaghata in Ayurveda can be compared. According to Acharya Charaka, it is a Vatavyadhi, meaning that the pathophysiology of the condition involves vitiated Vata Dosha. …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 37–41 Read article
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Radiopharmaceuticals use as a nuclear medicine for a Treatment of Disease
Abstract: Radiopharmaceuticals are radioactive substances that contain a bonded radionuclide with the intention of directing the radionuclide to a specific place for treatment or imaging. Radiopharmaceuticals are employed in nuclear medicine for cancer therapy as well as other therapeutic and diagnostic applications. Therefore, the primary goal of this study is to identify the key metal complexes and radioactive elements utilized in radiopharmaceutical applications. The sodium and methylenediphosphonate (MDP-99mTc) complexes, along with …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 17–21 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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An Effective Convolutional Neural Network for Identifying Cancer Blood Disorder Cells Using Microscopic Images
Abstract: Blood, bone marrow, and lymphatic systems are all impacted by hematological cancer is known as a cancer blood disorder. Blood malignancies and various blood disorders pose significant health challenges across all age groups. Early disease detection is essential for effective cancer blood disorder treatment and management. If a blood cancer is not identified in time, it may be hazardous. It results in abnormal white blood cell production by the bone …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 29–35 Read article
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Implementation of Artificial Intelligence Technology in Tele Medicine
Abstract: The practice of medicine across locations by the prudent application of information and communication technology is known as telemedicine. As a result of the COVID-19 epidemic, telemedicine has experienced exponential growth on a global scale. Artificial intelligence has the potential to enhance and broaden the scope of telemedicine, opening up countless opportunities for creating solutions for particular medical need. AI in telemedicine has the potential to significantly aid in the …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 41–50 Read article
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An Approach towards in Management of Chronic Kidney Disease
Abstract: The current international guidelines define and classify the chronic kidney disease (CKD) as decreased kidney function shown by decreased glomerular filtration rate (GFR). Glomerular filtration rate of 60 ml/min/1.73 m 2 for at least 3 months is a marker for kidney damage. The underlying causes for chronic kidney disease are proteinuria and hypertension. It is the main cause of CKD in many high-, middle- and low-income countries. In different countries, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 1, 2025 · pp. 9–15 Read article
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NanoBioAI: Utilizing Python to Investigate Magnetocaloric Effects in Magnetotactic Bacteria and Optimized Conditions for Thermotherapy
Abstract: The study presented in the research work represents a multidisciplinary approach, integrating biology, nanotechnology, and artificial intelligence. It specifically highlights the use of python computational power to investigate magnetocaloric effect (MCE) in magnetotactic bacteria (MTB), a phenomenon yet to be fully understood, characterized by reversible heating and cooling effects induced by magnetic fields. MTB are unique in that they contain embedded magnetic nanoparticles ranging from 10–100 nm in diameters. These …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 122–131 Read article
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Reviewing the Latest Developments in Wearable Electronics: Sensors, Energy Management, and Health Monitoring
Abstract: The realms of medical treatment, fitness tracking, and personalised monitoring have all been revolutionised by substantial recent breakthroughs in wearable electronics. With an emphasis upon sensors, energy management, and health monitoring, this abstract offers a summary of the most recent advancements in wearable electronics. The review includes studies from a variety of research fields, such as tracking the health of plants, remote health monitoring for diabetic patients, soft and wearable …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 13–18 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 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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Homeopathy and Miasms: Exploring Their Vital Importance
Abstract: An individual’s susceptibility to disease is not solely an internal matter but is also profoundly shaped by a variety of external influences. These influences can be broadly categorized into meteoric factors – such as climate, weather changes, seasonal variations, and atmospheric conditions – and telluric factors, which include environmental and terrestrial elements like soil, water, living conditions, and geographical surroundings. When such external influences act upon the human organism, they …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 16–21 Read article
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Exploring Psychotropic Trends of Medication Use in Psychiatric Outpatients: An Observational Study at a Tertiary Care Hospital
Abstract: Background: Psychotropic medications are essential in managing a wide range of psychiatric disorders, including depression, anxiety, bipolar disorder, and schizophrenia. Prescribing habits in outpatient clinics can differ a lot depending on things like the patient’s age, background, and medical conditions. Aim: This study aims to explore the trends in psychotropic medication use among psychiatric outpatients at a tertiary care hospital, with a focus on understanding prescribing patterns, demographic factors, and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 15–23 Read article