Acceptability and perceptions of personalised risk-based cancer screening among health-care professionals and the general public: a systematic review and meta-analysis.

Background: Personalised risk-based screening (PRBS) can enhance the efficiency of cancer screening programnes, but little is known about support for its implementation among the general public and health-care professionals. We aimed to summarise the acceptability and perceptions of PRBS for breast, cervical, colorectal, lung, and prostate cancer screening among these groups.

Methods: We conducted a systematic review and meta-analysis of original research studies reporting on breast, cervical, colorectal, lung, and prostate cancer screening; personalised risk assessments to guide PRBS; and the acceptability of and receptibility towards these approaches among the general public, health-care professionals, or both.

Association Between English Proficiency and Postoperative Pain Management for Adult Patients Undergoing Gynecologic Surgery: A Retrospective Cohort Study.

Purpose: To determine if language-based disparities in postoperative pain management exist in women undergoing gynecologic surgery.

Design: A retrospective cohort study was performed.

Methods: The electronic medical records were reviewed of individuals, aged 18 to 80, who underwent an abdominal hysterectomy between 2016 and 2021 at the University of Colorado Anschutz Medical Center.

The crucial role of beta-catenin in the osteoprotective effect of semaglutide in an ovariectomized rat model of osteoporosis.

Postmenopausal osteoporosis is a common chronic medical illness resulting from an imbalance between bone resorption and bone formation along with microarchitecture degeneration attributed to estrogen deficiency and often accompanied by other medical conditions such as weight gain, depression, and insomnia. Semaglutide (SEM) is a recently introduced GLP-1 receptor agonist (GLP-1RA) for the treatment of obesity and type 2 diabetes mellitus by mitigating insulin resistance. It has been discovered that the beneficial effects of GLP-1 are associated with alterations in lipolysis, adipogenesis, and anti-inflammatory processes.

Identifying highly-valued bank customers with current accounts based on the frequency and amount of transactions.

We hypothesize that highly-valued bank customers with current accounts can be identified by a high frequency of transactions in large amounts of money. To test our hypothesis, we employ machine learning predictive models to real data, including 407851 transactions of 4760 customers with current accounts in a local bank in Jordan. Thus, we exploit three clustering algorithms: density-based spatial clustering of applications with noise, spectral clustering, and ordering points to identify the clustering structure.

Predicting vehicle travel time on city streets for trip preplanning and predicting heavy traffic for proactive control of street congestion.

We investigate if the vehicle travel time after 6 h on a given street can be predicted, provided the hourly vehicle travel time on the street in the last 19 h. Likewise, we examine if the traffic status (i.e.