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Discov Oncol
January 2025
West China School of Medicine, Sichuan University, Chengdu, China.
Gastric cancer is an aggressive malignancy characterized by significant clinical heterogeneity arising from complex genetic and environmental interactions. This study employed single-cell RNA sequencing, using the 10 × Genomics platform, to analyze 262,532 cells from gastric cancer samples, identifying 32 distinct clusters and 10 major cell types, including immune cells (e.g.
View Article and Find Full Text PDFPhys Eng Sci Med
January 2025
Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bangalore, India.
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an important role in diagnosing PD as it offers a non-invasive continuous assessment of the disease progression and reflects these complex patterns. This study focuses on the non-linear analysis of resting state EEG signals in PD, with a gender-specific, brain region-specific, and EEG band-specific approach, utilizing recurrence plots (RPs) and machine learning (ML) algorithms for classification.
View Article and Find Full Text PDFBioDrugs
January 2025
Department of Neurology, Neuroscience Clinical Research Center (NCRC) and Integrated Myasthenia Gravis Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Charitéplatz 1, Germany.
Myasthenia gravis (MG) is a rare autoimmune disease characterised by exertion-induced muscle weakness that can lead to potentially life-threatening myasthenic crises. Detectable antibodies are directed against specific postsynaptic structures of the neuromuscular junction. MG is a chronic condition that can be improved through therapies, but to date, not cured.
View Article and Find Full Text PDFCurr Cardiol Rep
January 2025
Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Purpose Of Review: This review aims to explore how a diagnosis of LMNA-related cardiomyopathy (LMNA-CM) informs clinical management, focusing on the prevention and management of its complications, through practical clinical strategies.
Recent Findings: Longitudinal studies have enhanced our understanding of the natural history of LMNA-CM including its arrhythmic and non-arrhythmic complications. A LMNA specific ventricular arrhythmia risk prediction strategy has been integrated into clinical practice guidelines.
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