Diverse mathematical approaches to Alzheimer's disease DOI
Parimita Roy

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: 53, P. 316 - 317

Published: April 29, 2025

Language: Английский

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications DOI Open Access

Răzvan Onciul,

Cătălina-Ioana Tătaru,

Adrian Dumitru

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(2), P. 550 - 550

Published: Jan. 16, 2025

The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding the brain, unlocking new possibilities in research, diagnosis, therapy. This review explores how AI’s cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing by enabling analysis complex neural datasets, neuroimaging electrophysiology genomic profiling. These advancements are transforming early detection neurological disorders, enhancing brain–computer interfaces, driving personalized medicine, paving way for more precise adaptive treatments. Beyond applications, itself has inspired AI innovations, with architectures brain-like processes shaping advances algorithms explainable models. bidirectional exchange fueled breakthroughs such as dynamic connectivity mapping, real-time decoding, closed-loop systems that adaptively respond states. However, challenges persist, including issues data integration, ethical considerations, “black-box” nature many systems, underscoring need transparent, equitable, interdisciplinary approaches. By synthesizing latest identifying future opportunities, this charts a path forward integration neuroscience. From harnessing multimodal cognitive augmentation, fusion these fields not just brain science, it reimagining human potential. partnership promises where mysteries unlocked, offering unprecedented healthcare, technology, beyond.

Language: Английский

Citations

8

Harnessing artificial intelligence in Alzheimer's disease management: navigating ethical challenges in AI DOI

Fatemeh Habibi,

Shadi Ghaderkhani,

Marzieh Shokoohi

et al.

AI and Ethics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

1

The Role of Genetic, Environmental, and Dietary Factors in Alzheimer’s Disease: A Narrative Review DOI Open Access
Beyza Mertaş, İffet İpek Boşgelmez

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(3), P. 1222 - 1222

Published: Jan. 30, 2025

Alzheimer’s disease (AD) is one of the most common and severe forms dementia neurodegenerative disease. As life expectancy increases in line with developments medicine, elderly population projected to increase next few decades; therefore, an prevalence some diseases, such as AD, also expected. a result, until radical treatment becomes available, AD expected be more frequently recorded top causes death worldwide. Given current lack cure for only treatments available being ones that alleviate major symptoms, identification contributing factors influence incidence crucial. In this context, genetic and/or epigenetic factors, mainly environmental, disease-related, dietary, or combinations/interactions these are assessed. review, we conducted literature search focusing on environmental air pollution, toxic elements, pesticides, infectious agents, well dietary including various diets, vitamin D deficiency, social (e.g., tobacco alcohol use), variables affected by both behavior gut microbiota. We evaluated studies beneficial effects antibiotics Mediterranean-DASH Intervention Neurodegenerative Delay (MIND) Mediterranean diets.

Language: Английский

Citations

0

Diverse mathematical approaches to Alzheimer's disease DOI
Parimita Roy

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: 53, P. 316 - 317

Published: April 29, 2025

Language: Английский

Citations

0