FlyVISTA, an integrated machine learning platform for deep phenotyping of sleep in .

There is great interest in using genetically tractable organisms such as to gain insights into the regulation and function of sleep. However, sleep phenotyping in has largely relied on simple measures of locomotor inactivity. Here, we present FlyVISTA, a machine learning platform to perform deep phenotyping of sleep in flies.

Estimated Cancer Risk in Females Who Meet the Criteria to Exit Cervical Cancer Screening.

Importance: Cervical screening guidelines in the US recommend that most females can exit routine screening at age 65 years following 2 recent consecutive negative cotest results (concurrent human papillomavirus and cytology tests). However, empirical data on the subsequent risks of cancer and cancer death in this subgroup of females are limited.

Objective: To estimate the risks of cervical cancer and cervical cancer death among females who meet the cotesting criteria to exit screening.

Managing Opioid Tolerance: Balancing Pain Relief and Tackling Addiction.

This editorial discusses opioid tolerance, a growing challenge in managing pain in chronic patients. With time, overuse of opioids causes less sensitivity and responsiveness of opioid receptors and leads to higher doses of opioids for the same level of pain management. Due to this, it increases the risk of side effects, such as opioid addiction, respiratory issues, and overdose.

Changes in Vasectomy Practice Patterns After-Dobbs: A Multi-Institutional Study.

Importance: Following the Dobbs decision overruling Roe vs. Wade, public interest in vasectomies increased. This ruling directly impacted urologic practice patterns, and warrants further investigation.

Urgent Transcatheter Mitral Edge-to-Edge Repair Is Associated With Worse in-Hospital Outcomes: A Nationwide Analysis.

Background: To assess in-hospital outcomes in patients undergoing urgent versus non-urgent transcatheter mitral edge-to-edge repair (TEER).

Methods: We used the NIS database 2016-2019 to include admissions who underwent TEER. Inverse probability of treatment weighting (IPTW) was used to compare urgent versus non-urgent groups.