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Nanoparticle-Based Approaches in the Diagnosis and Treatment of Brain Tumors.
J Clin Med
December 2024
Department of Oncology, Faculty of Medicine, University of Alberta, Edmonton, AB T6G 1Z2, Canada.
Glioblastomas are highly invasive brain tumors among perilous diseases. They are characterized by their fast proliferation and delayed detection that render them a significant focal point for medical research endeavors within the realm of cancer. Among glioblastomas, (GBM) is the most aggressive and prevalent malignant brain tumor.
View Article and Find Full Text PDFUnmasking the Perils of Heroin: A Compelling Case Report on Acute Respiratory Distress Syndrome.
J Assoc Physicians India
December 2024
Professor and Head, Department of Internal Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
This case report discusses an interesting instance of acute respiratory distress syndrome (ARDS) induced by heroin abuse. Heroin, a potent opioid, has been linked to this life-threatening condition. A young man in his early twenties was found unconscious, displaying atypical symptoms such as tachycardia and tachypnea; later he landed up in ARDS.
View Article and Find Full Text PDFA machine learning-based clinical decision support system for effective stratification of gestational diabetes mellitus and management through Ayurveda.
J Ayurveda Integr Med
December 2024
Sri Dharmasthala Manjunatheshwara College of Ayurveda & Hospital, Kuthpady, Udupi, India.
Background: Gestational Diabetes Mellitus (GDM) is a metabolic condition that develops in course of pregnancy. The World Health Organization describes it as carbohydrate intolerance that causes hyperglycemia of varying severity and manifests itself or is first noticed during pregnancy. Early prediction is now possible, owing to the application of cutting-edge methods like machine learning.
View Article and Find Full Text PDFEnhanced skin cancer diagnosis through grid search algorithm-optimized deep learning models for skin lesion analysis.
Front Med (Lausanne)
November 2024
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Skin cancer is a widespread and perilous disease that necessitates prompt and precise detection for successful treatment. This research introduces a thorough method for identifying skin lesions by utilizing sophisticated deep learning (DL) techniques. The study utilizes three convolutional neural networks (CNNs)-CNN1, CNN2, and CNN3-each assigned to a distinct categorization job.
View Article and Find Full Text PDFProfiling of microglial-originated microvesicles to unearthing their lurking potential as potent foreseeable biomarkers for the diagnosis of Alzheimer's disease: A systematic review.
Brain Circ
September 2024
Department of Neurology, Minnesota Medical School, Minneapolis, MN, USA.
Background: Alzheimer's Disease is a neurodegenerative disease characterized by accumulation of phosphorylated tau and amyloid deposits within the brain tissues in the elderly population. Numerous studies established that amassment of these toxic accretions within the brain tissues initiates neuronal demise and synaptic impairment which becomes the underlying basis for memory loss and cognitive abnormalities in these patients.
Hypothesis: Hypoxia, oxidative stress, and inflammation are commonly encountered perils in the neuronal milieu that derail the neuron-synapse interactions and maneuver them to undergo apoptosis.
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