[HTML][HTML] Artificial intelligence for drug discovery and development in Alzheimer's disease

Y Qiu, F Cheng - Current Opinion in Structural Biology, 2024 - Elsevier
The complex molecular mechanism and pathophysiology of Alzheimer's disease (AD) limits
the development of effective therapeutics or prevention strategies. Artificial Intelligence (AI) …

[HTML][HTML] Role of artificial intelligence in the diagnosis and treatment of diseases

M Rezaei, E Rahmani, SJ Khouzani, M Rahmannia… - Kindle, 2023 - preferpub.org
Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Applications of deep learning in Alzheimer's disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions

S Toumaj, A Heidari, R Shahhosseini… - Artificial Intelligence …, 2024 - Springer
Alzheimer's Disease (AD) constitutes a significant global health issue. In the next 40 years, it
is expected to affect 106 million people. Although more and more people are getting AD …

Advancing pandemic preparedness in healthcare 5.0: A survey of federated learning applications

S Hamood Alsamhi, A Hawbani… - Advances in Human …, 2023 - Wiley Online Library
The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative
shift towards a more resilient future, particularly concerning pandemic preparedness. Within …

Revolutionizing Neurology: The Role of Artificial Intelligence in Advancing Diagnosis and Treatment

M Kalani, A Anjankar - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) has emerged as a powerful tool in the field of neurology,
significantly impacting the diagnosis and treatment of neurological disorders. Recent …

A federated learning model based on hardware acceleration for the early detection of alzheimer's disease

K Khalil, MMR Khan Mamun, A Sherif, MS Elsersy… - Sensors, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive illness with a slow start that lasts many years; the
disease's consequences are devastating to the patient and the patient's family. If detected …

Impact of AI-powered solutions in rehabilitation process: Recent improvements and future trends

U Khalid, M Naeem, F Stasolla, MH Syed… - … Journal of General …, 2024 - Taylor & Francis
Rehabilitation is an important and necessary part of local and global healthcare services
along with treatment and palliative care, prevention of disease, and promotion of good …

An Artificial Intelligence and Industrial Internet of Things-Based Framework for Sustainable Hydropower Plant Operations

FT Fera, C Spandonidis - Smart Cities, 2024 - mdpi.com
Hydropower plays a crucial role in supplying electricity to developed nations and is
projected to expand its capacity in various developing countries such as Sub-Saharan …

Alzheimer's disease stage recognition from MRI and PET imaging data using Pareto-optimal quantum dynamic optimization

M Odusami, R Damaševičius… - Heliyon, 2024 - cell.com
The threat posed by Alzheimer's disease (AD) to human health has grown significantly.
However, the precise diagnosis and classification of AD stages remain a challenge …

A hybrid multimodal machine learning model for Detecting Alzheimer's disease

J Sheng, Q Zhang, Q Zhang, L Wang, Z Yang… - Computers in Biology …, 2024 - Elsevier
Alzheimer's disease (AD) diagnosis utilizing single modality neuroimaging data has
limitations. Multimodal fusion of complementary biomarkers may improve diagnostic …