Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review

RJ Borchert, T Azevedo, AP Badhwar… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction Artificial intelligence (AI) and neuroimaging offer new opportunities for
diagnosis and prognosis of dementia. Methods We systematically reviewed studies …

Advances in neuroproteomics for neurotrauma: unraveling insights for personalized medicine and future prospects

F Kobeissy, M Goli, H Yadikar, Z Shakkour… - Frontiers in …, 2023 - frontiersin.org
Neuroproteomics, an emerging field at the intersection of neuroscience and proteomics, has
garnered significant attention in the context of neurotrauma research. Neuroproteomics …

[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology

M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …

Artificial intelligence for dementia prevention

D Newby, V Orgeta, CR Marshall… - Alzheimer's & …, 2023 - Wiley Online Library
INTRODUCTION A wide range of modifiable risk factors for dementia have been identified.
Considerable debate remains about these risk factors, possible interactions between them …

Artificial intelligence for neurodegenerative experimental models

SJ Marzi, BM Schilder, A Nott, CS Frigerio… - Alzheimer's & …, 2023 - Wiley Online Library
INTRODUCTION Experimental models are essential tools in neurodegenerative disease
research. However, the translation of insights and drugs discovered in model systems has …

Artificial intelligence for dementia research methods optimization

M Bucholc, C James, AA Khleifat… - Alzheimer's & …, 2023 - Wiley Online Library
Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being
used in dementia research. However, several methodological challenges exist that may limit …

[HTML][HTML] MicrobeTCM: A comprehensive platform for the interactions of microbiota and traditional Chinese medicine

Y Chen, Y Shi, C Liang, Z Min, Q Deng, R Yu… - Pharmacological …, 2024 - Elsevier
Thanks to the advancements in bioinformatics, drugs, and other interventions that modulate
microbes to treat diseases have been emerging continuously. In recent years, an increasing …

Machine Learning Approach to Identify Case-Control Studies on ApoE Gene Mutations Linked to Alzheimer's Disease in Italy

GF Saraceno, DM Abrego-Guandique, R Cannataro… - …, 2024 - mdpi.com
Background: An application of artificial intelligence is machine learning, which allows
computer programs to learn and create data. Methods: In this work, we aimed to evaluate the …

[PDF][PDF] Atousa Moghadam Fard

J Atighi, F Madanchi, A Azimi, F Tabatabaei… - researchgate.net
Background Renal diseases, also known as kidney diseases, encompass a wide range of
conditions affecting the kidneys' functioning. From chronic kidney disease (CKD) to acute …