Neurodegenerative disorders are characterized by a gradual but irreversible loss of neurological function. The ability to detect and treat these conditions successfully is crucial for ensuring the best possible quality of life for people who suffer from them. The development of effective new methods for managing and treating neurodegenerative illnesses has been made possible by recent developments in computer technology. In this overview, we take a look at the prospects for applying computational approaches, such as drug design, AI, ML, and DL, to the treatment of neurodegenerative diseases. To review the current state of the field, this article discusses the potential of computational methods for early disease detection, quantifying disease progression, and understanding the underlying biological mechanisms of neurodegenerative diseases, as well as the challenges associated with these approaches and potential future directions. Moreover, it delves into the creation of computational models for the individualization of care for neurodegenerative diseases. The article concludes with suggestions for future studies and clinical applications, highlighting the advantages and disadvantages of using computational techniques in the treatment of neurodegenerative diseases.
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http://dx.doi.org/10.2174/0118715273266095231009092603 | DOI Listing |
Front Immunol
January 2025
Department of Neurology, The Second Affiliated Hospital, Army Medical University, Chongqing, China.
Objective: To investigate the differences of clinical characteristics and treatment outcomes between paraneoplastic neurologic syndrome (PNS) patients with one high-risk antibody and patients with two high-risk antibodies.
Methods: We retrospectively analyzed the data of 51 PNS patients with high-risk antibody. Clinical data were extracted from the patients' electronic medical records.
Heliyon
January 2025
Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022, València, Spain.
Resting state electroencephalography (EEG) has proved useful in studying electrophysiological changes in neurodegenerative diseases. In many neuropathologies, microstate analysis of the eyes-closed (EC) scalp EEG is a robust and highly reproducible technique for assessing topological changes with high temporal resolution. However, scalp EEG microstate maps tend to underestimate the non-occipital or non-alpha-band networks, which can also be used to detect neuropathological changes.
View Article and Find Full Text PDFTzu Chi Med J
August 2024
Department of Pediatrics, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.
Endoplasmic reticulum (ER) is a crucial organelle associated with cellular homeostasis. Accumulation of improperly folded proteins results in ER stress, accompanied by the reaction involving triggering unfolded protein response (UPR). The UPR is mediated through ER membrane-associated sensors, such as protein kinase-like ER kinase (PERK), inositol-requiring transmembrane kinase/endoribonuclease 1α, and activating transcription factor 6 (ATF6).
View Article and Find Full Text PDFIran J Basic Med Sci
January 2025
Nutrition and Food Science Department, Food Industries and Nutrition Institute, National Research Centre, Dokki 12622, Cairo, Egypt.
Objectives: Alzheimer's disease (AD) is one of the most common neurodegenerative diseases in people over 65. The present research aimed to investigate the potential of different dietary supplements (DS) in preventing AD in an experimental animal model and study.
Materials And Methods: Three DS containing a mixture of wheat-germ oil and black pepper extract/or turmeric extract were prepared.
Am J Stem Cells
December 2024
Razi Herbal Medicines Research Center, Lorestan University of Medical Sciences Khorramabad, Iran.
Development and maintenance of the nervous system are governed by a scheduled cell death mechanism known as apoptosis. Very much how neurons survive and function depends on the degree of death in differentiating pseudo-neuronal cells produced from neural stem cells. Different inducers can affect the degree of death in these cells: hormones, medicines, growth factors, and others.
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