Articles

A major concern for cancer survivors after treatment is the Fear of Cancer Recurrence (FCR), which is the fear that cancer will reappear or progress. This fear can be exacerbated by medical uncertainty about the future, leading to harmful obsession and having a negative impact on quality of life. This study aims to develop a predictive Machine Learning (ML) model using healthcare reimbursement data to better predict FCR and understand the factors influencing FCR in women with breast cancer five years after their diagnosis.

This case shows the effective use of AI technology for managing polycystic ovary syndrome (PCOS), significantly improving weight, body mass index, insulin, blood pressure, and lipid profile in women.

This retrospective cohort study linked primary care prenatal data and intrapartum data from women with singleton pregnancies. With the linked data, the researchers explored the association between the timing of Gestational diabetes screening and macrosomia, Large-for-gestational age, shoulder dystocia and caesarean section.

This content aligns with Goal 5: Gender Equality by examining revascularization outcomes in coronary artery disease and their sex-specific differences. Gaps exist in our knowledge of sex-based outcomes and these gaps warrant further investigation.