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An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning
Parkinson’s disease (PD) is a progressive disorder that affects the nervous system and all the parts of the body controlled by it. It is the second... -
Multi-modal imaging for the detection of early keratoconus: a narrative review
Keratoconus is a common progressive corneal disorder that can be associated with significant ocular morbidity. Various corneal imaging techniques...
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An integrated biometric voice and facial features for early detection of Parkinson’s disease
Hypomimia and voice changes are soft signs preceding classical motor disability in patients with Parkinson’s disease (PD). We aim to investigate...
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The role of biomarkers in the early detection of pancreatic cancer
Pancreatic surveillance can detect early-stage pancreatic cancer and achieve long-term survival, but currently involves annual endoscopic ultrasound...
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Early Stage Parkinson’s Disease Diagnosis and Detection Using K-Nearest Neighbors Algorithm
This research article proposes a novel method to detect and recognize the symptoms of Parkinson’s disease in its early stages. Parkinson’s disease... -
Early Parkinson’s Disease Detection from EEG Traces Using Machine Learning Techniques
Parkinson’s disease (PD) affects over 10 million people worldwide. Tremors, stiffness, voice changes, delayed movement, and difficulty walking are... -
Detection of COVID-19 Disease Using Federated Learning
The study investigates the use of Federated Learning (FL) in combination with the AlexNet architecture for the early confirmation of COVID-19 from... -
Early Detection of Osteoporosis and Osteopenia Disease Using Computational Intelligence Techniques
People are now more frequently affected by the disorders of osteoporosis and osteopenia. Food habits and genetics have been recognized as the main... -
Early-Stage Detection of Liver Disease Through Machine Learning Algorithms
Liver disease is one of the threatening diseases that can even cause various side effects which become incurable if not detected at an early stage.... -
Towards clinical application of GlycA and GlycB for early detection of inflammation associated with (pre)diabetes and cardiovascular disease: recent evidence and updates
SummaryCardiometabolic diseases are associated with low-grade inflammation early in life and persists into old age. The long latency period presents...
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Elucidation of genetic determinants of dyslipidaemia using a global screening array for the early detection of coronary artery disease
Dyslipidemia is a major risk factor for the development of coronary artery disease (CAD). Understanding the genetic determinants of dyslipidemia can...
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Early betel leaf disease detection using vision transformer and deep learning algorithms
Betel leaves benefits include their high content of antioxidants, which can help protect against oxidative stress and promote overall health....
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An Effective Framework for Early Detection and Classification of Cardiovascular Disease (CVD) Using Machine Learning Techniques
Cardiovascular disease (CVD) is a condition that can kill and is becoming more common around the world. CVD and other heart illnesses could be found... -
Novel plant disease detection techniques-a brief review
Plant pathogens cause severe losses to agricultural yield worldwide. Tracking plant health and early disease detection is important to reduce the...
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Deep Learning Approach for Early Diagnosis of Alzheimer’s Disease
Alzheimer’s disease (AD) is a widespread neurological condition that affects millions of individuals worldwide. As a leading cause of dementia, AD is... -
Deep Learning-Based Detection of Parkinson’s Disease Using Gait
Parkinson’s disease (PD) affects over a dozen million people worldwide. There is presently no solution for this, much to the dismay of these... -
Alzheimer Disease Detection Using MRI: Deep Learning Review
Deep learning for Alzheimer disease detection using MRI is an emerging area of research in medical image processing. With the advent of new...
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Alzheimer’s Disease Detection Using Resnet
Alzheimer’s disease is incurable. Early Alzheimer’s diagnosis helps with treatment and brain tissue preservation. Statistics and machine learning... -
Increased blood draws for ultrasensitive ctDNA and CTCs detection in early breast cancer patients
Early breast cancer patients often experience relapse due to residual disease after treatment. Liquid biopsy is a methodology capable of detecting...
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Detection of Plant Leaf Disease Using Image Processing and Automation of Pesticide Spraying
The plant diseases have a direct impact on the quality and quantity of the crop, and by diagnosing them, the market value of agricultural products...