A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer's disease using neuroimaging

X Xu, L Lin, S Sun, S Wu - Reviews in the Neurosciences, 2023 - degruyter.com
Alzheimer's disease (AD) is a degenerative disorder that leads to progressive, irreversible
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …

[HTML][HTML] The development of an automated machine learning pipeline for the detection of Alzheimer's disease

N Chedid, J Tabbal, A Kabbara, S Allouch… - Scientific Reports, 2022 - nature.com
Although Alzheimer's disease is the most prevalent form of dementia, there are no
treatments capable of slowing disease progression. A lack of reliable disease endpoints …

Feed-forward LPQNet based automatic alzheimer's disease detection model

E Kaplan, S Dogan, T Tuncer, M Baygin… - Computers in Biology …, 2021 - Elsevier
Background Alzheimer's disease (AD) is one of the most commonly seen brain ailments
worldwide. Therefore, many researches have been presented about AD detection and cure …

[HTML][HTML] Predicting genetic disorder and types of disorder using chain classifier approach

A Raza, F Rustam, HUR Siddiqui, IT Diez… - Genes, 2022 - mdpi.com
Genetic disorders are the result of mutation in the deoxyribonucleic acid (DNA) sequence
which can be developed or inherited from parents. Such mutations may lead to fatal …

ProsmORF-pred: a machine learning-based method for the identification of small ORFs in prokaryotic genomes

A Khanduja, M Kumar, D Mohanty - Briefings in Bioinformatics, 2023 - academic.oup.com
Small open reading frames (smORFs) encoding proteins less than 100 amino acids (aa) are
known to be important regulators of key cellular processes. However, their computational …

[HTML][HTML] Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future …

S Bhachawat, E Shriram, K Srinivasan, YC Hu - Diagnostics, 2023 - mdpi.com
Degenerative nerve diseases such as Alzheimer's and Parkinson's diseases have always
been a global issue of concern. Approximately 1/6th of the world's population suffers from …

Alz-Disc: A Tool to Discriminate Disease-causing and Neutral Mutations in Alzheimer's Disease

A Kulandaisamy, SA Parvathy Dharshini… - … Chemistry & High …, 2023 - ingentaconnect.com
Background: Alzheimer's disease (AD) is the most common neurodegenerative disorder that
affects the neuronal system and leads to memory loss. Many coding gene variants are …

Exploring Plausible Therapeutic Targets for Alzheimer's Disease using Multi-omics Approach, Machine Learning and Docking

SA Parvathy Dharshini, NP Sneha… - Current Topics in …, 2022 - ingentaconnect.com
The progressive deterioration of neurons leads to Alzheimer's disease (AD), and developing
a drug for this disorder is challenging. Substantial gene/transcriptome variability from …

[HTML][HTML] A prediction model of qi stagnation: A prospective observational study referring to two existing models

A Maeda-Minami, K Ihara, T Yoshino, Y Horiba… - Computers in Biology …, 2022 - Elsevier
Objective To establish a prediction model of qi stagnation referring to two existing models.
Design Prospective observational study. Setting We recruited patients who visited the …

[HTML][HTML] Epidemiological model including spatial connection features improves prediction of the spread of pine wilt disease

HW Zhou, M Xie, TM Koski, Y Li, HJ Zhou, JY Song… - Ecological …, 2024 - Elsevier
In recent decades, the tree killing pine wilt disease (PWD) has been spreading globally and
has caused substantial damage, particularly in China, resulting in annual losses of nearly …