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Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.
JMIR Form Res
January 2025
Smith School of Business, Queen's University, Kingston, ON, Canada.
Background: Depression significantly impacts an individual's thoughts, emotions, behaviors, and moods; this prevalent mental health condition affects millions globally. Traditional approaches to detecting and treating depression rely on questionnaires and personal interviews, which can be time consuming and potentially inefficient. As social media has permanently shifted the pattern of our daily communications, social media postings can offer new perspectives in understanding mental illness in individuals because they provide an unbiased exploration of their language use and behavioral patterns.
View Article and Find Full Text PDFDevelopment of an eHealth Intervention Including Self-Management for Reducing Sedentary Time in the Transition to Retirement: Participatory Design Study.
JMIR Form Res
January 2025
Division of Psychology, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.
Background: Having a great amount of sedentary time is common among older adults and increases with age. There is a strong need for tools to reduce sedentary time and promote adherence to reduced sedentary time, for which eHealth interventions have the potential to be useful. Interventions for reducing sedentary time in older adults have been found to be more effective when elements of self-management are included.
View Article and Find Full Text PDFA 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 PDFMachine learning models for predicting postoperative peritoneal metastasis after hepatocellular carcinoma rupture: a multicenter cohort study in China.
Oncologist
January 2025
Department of Hepatic Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Background: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the optimal model for this specific problem remains unclear.
Methods: Clinical data were collected and analyzed from 522 patients with ruptured HCC who underwent surgery at 7 different medical centers.
Women's Lives and Birth Experiences Are Important! Evaluation of Women's Perceptions of Respectful Maternal Care: The Mother-Friendly Hospital Difference.
J Eval Clin Pract
February 2025
Midwifery Department, Faculty of Health Sciences, İstanbul University-Cerrahpaşa, İstanbul, Turkey.
Aim: The aim of this study is to determine women's perceptions of respectful maternity care, the effect of giving birth in a mother-friendly hospital on this perception and other factors affecting this perception.
Background: The philosophy of a mother-friendly hospital includes respectful maternity care. Few quantitative studies have been conducted in Turkey to assess the prevalence of respectful maternity care during childbirth and none have examined the difference between respectful maternity care in mother-friendly and nonmother-friendly hospitals.
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