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Analyzing Secondary Cancer Risk: A Machine Learning Approach.
Asian Pac J Cancer Prev
January 2025
Department of Physics, Faculty of Sciences, Arak University, Arak, Iran.
Objective: Addressing the rising cancer rates through timely diagnosis and treatment is crucial. Additionally, cancer survivors need to understand the potential risk of developing secondary cancer (SC), which can be influenced by several factors including treatment modalities, lifestyle choices, and habits such as smoking and alcohol consumption. This study aims to establish a novel relationship using linear regression models between dose and the risk of SC, comparing different prediction methods for lung, colon, and breast cancer.
View Article and Find Full Text PDFThe negative relationship between brain-age gap and psychological resilience defines the age-related neurocognitive status in older people.
Geroscience
January 2025
State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.
Biological brain age is a brain-predicted age using machine learning to indicate brain health and its associated conditions. The presence of an older predicted brain age relative to the actual chronological age is indicative of accelerated aging processes. Consequently, the disparity between the brain's chronological age and its predicted age (brain-age gap) and the factors influencing this disparity provide critical insights into cerebral health dynamics during aging.
View Article and Find Full Text PDFDon't Sleep on Vitamin D: Vitamin D is Associated with Sleep Variability in Apparently Healthy Adults.
Am J Physiol Regul Integr Comp Physiol
January 2025
Neurovascular Physiology Laboratory, School of Kinesiology, Auburn University, Auburn, AL, USA 36849.
Vitamin D is associated with sleep quality and duration, but it's unclear whether vitamin D status influences sleep variability. Therefore, we sought to determine whether vitamin D status was associated with sleep variability in healthy adults. We assessed objective sleep, including timing and duration standard deviation () using the Philips Actiwatch Spectrum and subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) in 130 adults.
View Article and Find Full Text PDFThe quality of biological samples used in metabolomics research is significantly influenced by preanalytical factors, such as the timing of centrifugation and freezing. This study aimed to evaluate how preanalytical factors, like delays in centrifugation and freezing, affect metabolomics research. Blood samples, collected in various tube types, were subjected to controlled pre- and postcentrifugation delays.
View Article and Find Full Text PDFRisk factors for inferior alveolar nerve injury associated with implant surgery: An observational study.
J Dent Sci
January 2025
Department of Oral and Maxillofacial Surgery, Seoul National University Dental Hospital, Seoul, Republic of Korea.
Background/purpose: Inferior alveolar nerve (IAN) injury is the most serious complication associated with dental implant surgery, posing difficulties in treatment and potential for permanent disabilities. This study aimed to identify patient-related risk factors for IAN injury during implant placement and to investigate sensory disturbances depending on whether the implant was removed.
Materials And Methods: Twenty-eight patients with implant-related IAN injury were included.
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