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Papers tagged with "Aging"
An Interpretable Deep Learning Framework For MRI-Based Alzheimer’s Disease Detection And Automated Clinical Reporting
Alzheimer’s Disease (AD) Is A Progressive Neurodegenerative Disorder That Affects Memory, Cognitive Abilities, And Overall Brain Function, Particularly In The Aging Population. Early And Reliable Diagnosis Is Essential For Timely Interventi...
CardioGuard: A Real-Time Health Monitoring And Emergency Alert System Using WebSocket And Persistence-Based Anomaly Detection
The Increasing Prevalence Of Cardiovascular And Respiratory Conditions Demands Continuous, Reliable, And Intel-ligent Health Monitoring Systems Capable Of Operating Beyond Clinical Settings. Existing Threshold-based Monitoring Systems Suffe...
AI Trust & Performance Evaluation Platform (AI-TPEP)
AI-TPEP (AI Trust & Performance Evaluation Platform) Is A Modular And Reproducible Framework For Comprehensive Evaluation Of Machine Learning Systems Across Key Trust Dimensions, Including Predictive Performance, Calibration, Fairness, Robu...
BIOSIGNAL SMOCKING DETECTION OF X-RAY IMAGES
Lung Diseases Such As Viral Pneumonia And Smoking-induced Lung Damage Are Major Global Health Concerns Responsible For Millions Of Deaths Each Year. Early And Accurate Detection Of These Conditions Is Essential For Timely Medical Interventi...
Enhanced ODIRNet: Attention-Driven And Explainable Deep Neural Network For Robust Diabetic Retinopathy Detection
Diabetic Retinopathy (DR) Is A Significant Global Health Concern, Especially In Areas With High Rates Of Diabetes. Early Detection Via Automated Systems Can Reduce The Risk Of Blindness. This Paper Introduces ODIRNet, A Compact Deep Convolu...
Extraction And Characterization Of Mango Seed Kernel Starch For The Development Of PH-Responsive Smart Bioplastic Films
The Escalating Accumulation Of Synthetic Petroleum-based Plastics Has Precipitated A Global Environmental Crisis, Driving The Search For Sustainable, Biodegradable, And Functional Alternatives. This Research Investigates The Extraction And...
New Trends In Ayurveda: A Comprehensive Review On The Innovations And Advances In Holistic Healthcare
Research Investigating The Impact Of Ayurvedic Interventions, Such As Herbal Formulations, Dietary And Lifestyle Practices, And Specific Therapies Like Shirodhara (pouring Of Medicated Oils On The Forehead) And Abhyanga (oil Massage), On Hu...
Deep Learning-Based Eye Disease Detection
Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...
AI-BASED ATHEROSCLEROSIS DETECTION MODEL USING CARDIOVASCULAR IMAGING DATA
Atherosclerosis Is A Chronic Cardiovascular Condition Characterized By The Gradual Accumulation Of Plaque Within Arterial Walls, Resulting In Restricted Blood Flow And Increased Risk Of Heart Attacks And Strokes. Early Detection Is Essenti...
LUNG INFECTION SEGMENTATION AND CLASSIFICATION USING DEEP LEARNING
Lung Fibrosis Is A Chronic And Progressive Respiratory Disease Characterized By Scarring Of Lung Tissue, Leading To Reduced Lung Function And, In Severe Cases, Respiratory Failure. Early Detection Is Critical For Timely Intervention And Imp...
HERBAL ANTI-AGING CREAMS
The Growing Interest In Anti-aging Skincare Products Has Led To Increased Scrutiny Of Synthetic Ingredients, Resulting In A Shift Toward Plant-based Alternatives. This Review Provides A Comprehensive Analysis Of The Bioactive Compounds Pres...
Synergistic Effect Of Hyaluronic Acid With Vitamins And Antioxidants In Anti-aging Products
Skin Aging Is A Complex Biological Process Influenced By Both Intrinsic (chronological) And Extrinsic (environmental) Factors, Resulting In The Structural And Functional Decline Of The Skin. Recent Developments In Cosmetic Dermatology Have...
AI In HealthCare: Focus On Medical Imaging
In Healthcare Sector ,specially In The Field Of Medical Imaging ,Artifical Intelligence (AI) Is Bringing Significant Changes. Imaging Methods Like CT Scans, X-rays, And MRIs Produce Large Volumes Of Visual Information That Require Accurate...
Study On Poor Sleep Quality And Its Associated Risk Factors Among Elderly Population In Chennai
Introduction:Population Aging Is A Major Health Issue In Most Countries, Sleep Is One Of The Significant Factors Affecting Aging And Elderly People’s Quality Of Life. The Present Study Was Done To Assess Sleep Quality And Its Contributing F...
Service Usage Classification With Encrypted Internet Traffic In Moblie Messaging Apps
The Rapid Adoption Of Mobile Messaging Apps Has Enabled Us To Collect Massive Amount Of Encrypted Internet Traffic Of Mobile Messaging. The Classification Of This Traffic Into Different Types Of In-App Service Usages Can Help For Intelligen...