Machine learning in Alzheimer's disease drug discovery and target identification
C Geng, ZB Wang, Y Tang - Ageing Research Reviews, 2024 - Elsevier
Alzheimer's disease (AD) stands as a formidable neurodegenerative ailment that poses a
substantial threat to the elderly population, with no known curative or disease-slowing drugs …
substantial threat to the elderly population, with no known curative or disease-slowing drugs …
Integrative approach of omics and imaging data to discover new insights for understanding brain diseases
Treatments that can completely resolve brain diseases have yet to be discovered. Omics is a
novel technology that allows researchers to understand the molecular pathways underlying …
novel technology that allows researchers to understand the molecular pathways underlying …
[HTML][HTML] Integrating Artificial Intelligence into Telemedicine: Revolutionizing Healthcare Delivery
Abstract Integrating Artificial Intelligence (AI) into telemedicine has emerged as a
groundbreaking approach, revolutionizing the delivery of healthcare services. AI, with its …
groundbreaking approach, revolutionizing the delivery of healthcare services. AI, with its …
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Recent years have witnessed an increasing global population affected by
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …
Advances in neuroproteomics for neurotrauma: unraveling insights for personalized medicine and future prospects
Neuroproteomics, an emerging field at the intersection of neuroscience and proteomics, has
garnered significant attention in the context of neurotrauma research. Neuroproteomics …
garnered significant attention in the context of neurotrauma research. Neuroproteomics …
Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Neurodegenerative conditions significantly impact patient quality of life. Many conditions do
not have a cure, but with appropriate and timely treatment the advance of the disease could …
not have a cure, but with appropriate and timely treatment the advance of the disease could …
Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review
O Adelaja, H Alkattan - Mesopotamian Journal of Artificial …, 2023 - mesopotamian.press
Medical image diagnostics is crucial to healthcare since it aids in the diagnosis and
treatment of a variety of diseases and conditions. However, the process is time-consuming …
treatment of a variety of diseases and conditions. However, the process is time-consuming …
[PDF][PDF] An improved approach for early diagnosis of Parkinson's disease using advanced DL models and image alignment
An innovative approach to enhance image alignment through affine transformation, allowing
images to be rotated from 0 to 135 degrees. This transformation is a crucial step in improving …
images to be rotated from 0 to 135 degrees. This transformation is a crucial step in improving …
Advancements in Exosome Proteins for Breast Cancer Diagnosis and Detection: With a Focus on Nanotechnology
Breast cancer, a leading cause of mortality among women, has been recognized as
requiring improved diagnostic methods. Exosome proteins, found in small extracellular …
requiring improved diagnostic methods. Exosome proteins, found in small extracellular …
A comparative study: prediction of parkinson's disease using machine learning, deep learning and nature inspired algorithm
Parkinson's Disease (PD) is a degenerative and progressive neurological disorder worsens
over time. This disease initially affects people over 55 years old. Patients with PD often …
over time. This disease initially affects people over 55 years old. Patients with PD often …