scholarly journals Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer’s Disease

Author(s):  
Bo Cheng ◽  
Mingxia Liu ◽  
Daoqiang Zhang
Author(s):  
Atif Mehmood ◽  
Shuyuan yang ◽  
Zhixi feng ◽  
Min wang ◽  
AL Smadi Ahmad ◽  
...  

2016 ◽  
Vol 15 (2) ◽  
pp. 115-132 ◽  
Author(s):  
Bo Cheng ◽  
◽  
Mingxia Liu ◽  
Dinggang Shen ◽  
Zuoyong Li ◽  
...  

2018 ◽  
Vol 13 (1) ◽  
pp. 138-153 ◽  
Author(s):  
Bo Cheng ◽  
◽  
Mingxia Liu ◽  
Daoqiang Zhang ◽  
Dinggang Shen

Author(s):  
Nicole Dalia Cilia ◽  
Claudio De Stefano ◽  
Claudio Marrocco ◽  
Francesco Fontanella ◽  
Mario Molinara ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 371
Author(s):  
Patrycja Pawlik ◽  
Katarzyna Błochowiak

Many neurodegenerative diseases present with progressive neuronal degeneration, which can lead to cognitive and motor impairment. Early screening and diagnosis of neurodegenerative diseases such as Alzheimer’s disease (AD) and Parkinson’s disease (PD) are necessary to begin treatment before the onset of clinical symptoms and slow down the progression of the disease. Biomarkers have shown great potential as a diagnostic tool in the early diagnosis of many diseases, including AD and PD. However, screening for these biomarkers usually includes invasive, complex and expensive methods such as cerebrospinal fluid (CSF) sampling through a lumbar puncture. Researchers are continuously seeking to find a simpler and more reliable diagnostic tool that would be less invasive than CSF sampling. Saliva has been studied as a potential biological fluid that could be used in the diagnosis and early screening of neurodegenerative diseases. This review aims to provide an insight into the current literature concerning salivary biomarkers used in the diagnosis of AD and PD. The most commonly studied salivary biomarkers in AD are β-amyloid1-42/1-40 and TAU protein, as well as α-synuclein and protein deglycase (DJ-1) in PD. Studies continue to be conducted on this subject and researchers are attempting to find correlations between specific biomarkers and early clinical symptoms, which could be key in creating new treatments for patients before the onset of symptoms.


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