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A Phase I, First-In-Human Study of CBA-1205, an Anti-DLK1 Monoclonal Antibody, in Patients With Advanced Solid Tumors.
Cancer Sci
January 2025
Department of Experimental Therapeutics, National Cancer Center Hospital, Chuo-ku, Japan.
CBA-1205 is a novel humanized antibody targeting delta-like 1 homolog (DLK1) that enhances antibody-dependent cellular cytotoxicity activity. DLK1 overexpression has been reported in various cancer types, such as hepatocellular carcinoma and neuroblastoma. CBA-1205 demonstrates potent antitumor activity in multiple tumor models, making it a potential treatment option for DLK1-expressing cancers.
View Article and Find Full Text PDFAt-Home Immersive Virtual Reality Exergames to Reduce Cardiometabolic Risk Among Office Workers: Protocol for a Randomized Controlled Trial.
JMIR Res Protoc
January 2025
School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi, Japan.
Background: The worldwide rise in the prevalence of noncommunicable diseases has increased the recognition of the need to identify modifiable risk factors for preventing and managing these diseases. The office worker, as a representative group of physically inactive workers, is exposed to risk factors for metabolic syndrome, which is a primary driver of noncommunicable diseases. The use of virtual reality (VR) exergames may offer a potential solution to the problem of increasing noncommunicable disease prevalence, as it can help individuals increase their physical activity levels while providing a more immersive experience.
View Article and Find Full Text PDFAutomatic segmentation of MRI images for brain radiotherapy planning using deep ensemble learning.
Biomed Phys Eng Express
January 2025
Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA, United States of America.
This study aimed to develop and evaluate an efficient method to automatically segment T1- and T2-weighted brain magnetic resonance imaging (MRI) images. We specifically compared the segmentation performance of individual convolutional neural network (CNN) models against an ensemble approach to advance the accuracy of MRI-guided radiotherapy (RT) planning..
View Article and Find Full Text PDFExamining the prevention approach in National Dementia Plans from European and North American countries.
Front Dement
January 2025
Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Objectives: This paper aims to provide a comprehensive review of National Dementia Plans (NDPs) from selected European and North American countries, focusing on the distinct prevention strategies outlined and the approaches employed for reducing dementia risk.
Method: The sample consisted of 16 NDPs from Austria, Canada, Finland, France, Germany, Greece, Ireland, Italy, Liechtenstein, Luxembourg, Malta, the Netherlands, Spain, Switzerland, the UK, and the USA. These NDPs were retrieved from the Alzheimer's Disease International (ADI) database, with regular updates checked on official governmental websites.
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