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Machine Learning-Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug-Drug Self-Assembly.
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Yunnan Key Laboratory of Stem Cell and Regenerative Medicine, Kunming Medical University, Kunming, 650500, China.
Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-assembling nanomedicines, employing physiochemical parameters to predict formation via machine learning.
View Article and Find Full Text PDF[Multi-professional Clearing in a Model Project based on § 64b SGB V by the Example of Geriatric Psychiatry].
Psychiatr Prax
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Klinik für Gerontopsychiatrie, Psychosomatik und Psychotherapie, Pfalzklinikum für Psychiatrie und Neurologie AdöR, Klingenmünster.
As part of the largest model project in Germany in accordance with § 64b SGB V at the Pfalzklinikum, a clearing concept was developed in the Clinic for Geriatric Psychiatry to ensure rapid and adequate diagnosis and effective referral to the further treatment setting. Retrospective data of all clearing cases from the first year are presented. In addition to demographic data and treatment diagnoses, the distribution of patients across settings providing further treatment is presented.
View Article and Find Full Text PDFExploring the Connections Between Grip Strength, Nutritional Status, Frailty, Depression, and Cognition as Initial Assessment Tools in Geriatric Rehabilitation-A Pilot Study.
Medicina (Kaunas)
November 2024
Doctoral School, University of Medicine and Pharmacy Carol Davila, Dionisie Lupu Street, No. 37, Sector 2, 020021 Bucharest, Romania.
In the context of the rapidly aging global population, the older adult vulnerability poses a significant challenge for public health systems. Frailty, cognitive and nutritional status, depression, and grip strength are essential parameters for staging the vulnerability of older adults. The objective of this study is to identify a rapid but multidimensional geriatric assessment tool that can enhance the rehabilitation process for older adults, tailored to their specific needs.
View Article and Find Full Text PDFFactors associated with phenoconversion of idiopathic rapid eye movement sleep behavior disorder: a prospective study.
NPJ Parkinsons Dis
January 2025
Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
This study explores the effect of risk factors on the progression of idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) to α-synucleinopathies in a Chinese cohort. Patients with iRBD were enrolled and assessed for environmental factors and lifestyle using standardized structured questionnaires at baseline. All patients were prospectively followed for phenoconversion monitoring.
View Article and Find Full Text PDFTesting Machine Learning-Based Pain Assessment for Postoperative Geriatric Patients.
Comput Inform Nurs
January 2025
Author Affiliations: Zonguldak Atatürk State Hospital (Dr Alkan); and Faculty of Health Sciences, Department of Nursing, Zonguldak Bülent Ecevit University (Dr Taşdemir), Zonguldak, Turkey.
The global population is aging, and there is a concomitant increase in surgery for the elderly. In geriatric patients, where postoperative pain assessment is difficult, technological tools that perform automatic pain assessment are needed to alleviate the workload of nurses and to accurately assess patients' pain. This study offers a more reliable and rapid assessment tool for assessing the pain of elderly patients undergoing surgery.
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