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JMIR Cardio
December 2024
Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.
Health care is under pressure due to an aging population with an increasing prevalence of chronic diseases, including cardiovascular disease. Smoking and physical inactivity are 2 key preventable risk factors for cardiovascular disease. Yet, as with most health behaviors, they are difficult to change.
View Article and Find Full Text PDFPLoS One
July 2024
Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
We know that HIV treatment outcome depends on antiretroviral treatment (ART) adherence. Young adults with perinatal HIV (YPHIV) who survived have endured various adherence challenges in their adolescent years. While some of them could maintain perfect adherence with sustainable virologic suppression, many experienced one or more episodes of virologic failure.
View Article and Find Full Text PDFAm J Psychoanal
September 2023
LCSW, 235 West 76th Street, Suite 1B, New York, NY, 10023, USA.
This article explores psychic aspects of abortion, from the fixity of beliefs over its legalization, to conscious and unconscious fantasies related to the fetus, children, parenting, fertility, and so on. Generally speaking, the field has shown less direct interest in abortion per se than might be surmised, particularly given the centrality of sexuality and procreation in psychoanalysis. The recent legal changes may initiate more psychoanalytic interest in the topic.
View Article and Find Full Text PDFArXiv
June 2023
Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA.
Software is vital for the advancement of biology and medicine. Through analysis of usage and impact metrics of software, developers can help determine user and community engagement. These metrics can be used to justify additional funding, encourage additional use, and identify unanticipated use cases.
View Article and Find Full Text PDFClin Orthop Relat Res
January 2024
Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Background: The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA) was developed to predict the survival of patients with spinal metastasis. The algorithm was successfully tested in five international institutions using 1101 patients from different continents. The incorporation of 18 prognostic factors strengthens its predictive ability but limits its clinical utility because some prognostic factors might not be clinically available when a clinician wishes to make a prediction.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!