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670 articles for “diagnosiable”
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Nadi Pariksha: An Ancient Ayurvedic Method of Diagnosis
Abstract: In Ayurveda we have studied two hypotheses namely, Pinda Brhmanda Nyaya and Anshansha Kalpana. As per the Pinda Brahmanda Nyaya, whatever elements we see in the nature, we find same elements in the smallest part of the human body as well and vice versa. According to Anshanshakalpana, all the elements found in any organism, are found in the seed of that organism in the same proportion but in minute quantities. …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 3, 2016 · pp. 48–51 Read article
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Value of Antenatal Diagnosis and Outcome in Dandy-Walker Malformation
Abstract: Dandy-Walker malformation is a rare congenital brain malformation characterized by hypoplasia and upward rotation of the cerebellar vermis, cystic dilation of the 4th ventricle and enlargement of the posterior fossa. Ultrasonography of the central nervous system is an integral part of a prenatal scan, and the development of imaging technologies have led to better diagnostic possibilities. Here, we present an antenatal diagnosis of a case of Dandy-Walker malformation at 40 …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 2, 2015 · pp. 37–41 Read article
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Atypical Psychiatric Presentations of Autoimmune Encephalitis: A Case Series and Proposed Clinical Approach to Diagnosis
Abstract: Background: knowledge and detection of seronegative autoimmune encephalitis (AE) is growing rapidly, but typical psychiatric presentations risk misdiagnosis or delay in diagnosis with worse prognostic outcomes. Paraclinical markers are useful when positive, and integral to the current diagnostic framework yet have limited sensitivities leaving an unknown percentage of patients without diagnosis or treatment. Cases not meeting diagnostic criteria pose a particular clinical challenge regarding diagnosis and treatment decision making and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 12, Issue 2, 2022 · pp. 26–37 Read article
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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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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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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Stiff Person Syndrome: Advances in Understanding, Diagnosis, and Treatment of a Rare Autoimmune Disorder
Abstract: Stiff Person Syndrome (SPS) is a rare and complex autoimmune neurological disorder characterized by progressive muscle stiffness, rigidity, and painful spasms. This chapter provides a comprehensive overview of SPS, exploring its pathophysiology, clinical presentation, diagnostic challenges, and current treatment approaches. We discuss the latest research findings, including the role of autoantibodies, genetic factors, and environmental triggers in the development of SPS. The chapter examines various diagnostic methods, emphasizing the importance …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 35–43 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Alternative Medicine: A Review Article the Lupus Journey from the Diagnosis to Recovery and Beyond
Abstract: Lupus, a chronic autoimmune disease, presents a complex and often volatile journey for patients, from diagnosis to recovery and beyond. The course is usually characterized by periods of acute flare-ups, followed by remissions, with different symptoms affecting different organ systems. This review delves into managing lupus with alternative medicine, highlighting how it can work alongside conventional treatments. It covers topics like diet, herbal remedies, acupuncture, and mind-body practices, all aimed …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 9–18 Read article
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Typhoid Fever: Etiology, Clinical Manifestations, Diagnosis, and Management
Abstract: Typhoid fever is a systemic and potentially life-threatening infectious disease caused by Salmonella enterica serotype Typhi, which primarily spreads through the fecal-oral route via ingestion of contaminated food and water. It continues to be a major global public health concern, particularly in developing and low-resource countries where poor sanitation, inadequate personal hygiene, and unsafe water supplies prevail. The disease is characterized by prolonged high-grade fever, abdominal discomfort, headache, loss of …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 31–40 Read article
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Non-Small Cell Lung Cancer: Types, Pathogenesis, Diagnosis, and Novel Therapeutic Strategies
Abstract: Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer, accounting for over 85% of all cases globally. It remains one of the primary causes of cancer-related death due to its rapid progression, few early symptoms, and late detection. The three main forms of non-small cell lung cancer (NSCLC) are adenocarcinoma, squamous cell carcinoma, and giant cell carcinoma; each has a unique histology, prognosis, and response to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 07–22 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Computer Aided Circuit Design for Diagnosis of Dust Impact on Solar Panels
Abstract: AbstractSolar panels have come up as a promising methodology for extracting solar energy and yielding electricity. However, there exist many barriers in its path to become an indispensable part of today's era. The decreasing panel efficiency due to several factors such as temperature, irradiance, photoactive material, dust, panel orientation, is an issue of concern. Amongst these, dust is the least acknowledged, yet the most crucial parameter responsible for deteriorating panel …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 11–16 Read article
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An Overview on Nuclear Imaging Scans (Diagnostic Nuclear Medicine) in Breast Cancer Diagnosis
Abstract: Nuclear medicine has major role in clinical oncology specially in tumor imaging. Under this, specific organs are evaluating or to detect presence of tumor in entire body. Nuclear medicine used to evaluate the extent of tumor at initial stage. Molecular imaging helps doctor to diagnose the accuracy of cancer. This study represents the types of nuclear medicine scan and molecular imaging in breast cancer diagnosis.Keywords: breast cancer, nuclear imaging scan, …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 12–17 Read article
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Musculoskeletal Disorders: History Taking, Physical Examination, Investigations and Diagnosis
Abstract: The aim of present study was to learn about the common musculoskeletal disorders. Proper history taking and thorough examination of each limb and joint systematically is the key to management of musculoskeletal disorders. Musculoskeletal disorders generally present with pain, dysfunction and deformity. Onset of symptoms should be ascertained whether they are acute or chronic. The natural history of the problem also gives clue to diagnosis and the type of pain …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 2, 2019 · pp. 19–27 Read article
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Revolutionizing Cancer Diagnosis: Unleashing the Tab Transformer's Power for Accurate Classification
Abstract: Gene expression platforms offer vast amounts of data that can be utilized for investigating diverse biological processes. However, the presence of redundant and irrelevant genes makes it challenging to identify crucial genes from high-dimensional biological data. To overcome this obstacle, researchers have introduced different feature selection (FS) methods. Developing more efficient and accurate feature selection techniques is essential for selecting important genes in complex biological information with multiple dimensions. In …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 24–38 Read article
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Acute Ischemic Stroke: Diagnosis and Management Approach
Abstract: Stroke is the next chief reason of death worldwide and the foremost reason of debility, with a growing occurrence in emerging countries. Ischemic stroke produced by arterial obstruction is accountable for the majority of strokes. Management focuses on fast reperfusion with endovascular thrombectomy and intravenous thrombolysis, which together decreases debility but are time grave. The important primary stage in stroke maintenance is initial identification of patients with stroke and triage …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 3, 2020 · pp. 25–46 Read article
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An overview on the diagnosis and approaches in pharmacological management of Parkinson’s disease
Abstract: Parkinson’s disease (PD) might be a mutual neurodegenerative disease considered by a movement disorder containing rest tremor, bradykinesia, rigidity, and postural instability, and second-leading reason of dementia and is categorized by an advanced loss of dopaminergic neurons within the neural structure alongside the occurrence of intraneuronal α-synuclein-positive enclosures. PD is identified where bradykinesia happens along with rigidity or tremor within the existence of supporting features. The diagnosis is clinical, and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 11, Issue 1, 2021 · pp. 1–8 Read article