The Impact of Mentoring on Academic Career Success in Surgical Subspecialties: A Systematic Review.

Introduction: As of 2019, women comprise 52.4% of medical school matriculants, make up more than one-third of the active physician workforce, and nearly half of residents and fellows. Although the number of women physicians continues to increase, many surgical subspecialities, including orthopaedic surgery, have not seen a substantial increase in the percentage of women physicians.

East Victoria long term hydrodynamic modelling: Dataset and methodology.

This dataset is the output of a long term multi-resolution calibrated hydrodynamic model of Bass Strait waters in south-eastern Australia. The model is 3 dimensional with 16 sigma layers. It is forced by tides, wind, non-tidal sea level variability as well as salinity and temperature through a nudging scheme.

Sensing data and methodology from the Adaptive DBS Algorithm for Personalized Therapy in Parkinson's Disease (ADAPT-PD) clinical trial.

Adaptive deep brain stimulation (aDBS) is an emerging advancement in DBS technology; however, local field potential (LFP) signal rate detection sufficient for aDBS algorithms and the methods to set-up aDBS have yet to be defined. Here we summarize sensing data and aDBS programming steps associated with the ongoing Adaptive DBS Algorithm for Personalized Therapy in Parkinson's Disease (ADAPT-PD) pivotal trial (NCT04547712). Sixty-eight patients were enrolled with either subthalamic nucleus or globus pallidus internus DBS leads connected to a Medtronic Percept PC neurostimulator.

Insulin Efsitora versus Degludec in Type 2 Diabetes without Previous Insulin Treatment.

Background: Insulin efsitora alfa (efsitora) is a new basal insulin designed for once-weekly administration. Data on safety and efficacy have been limited to small, phase 1 or phase 2 trials.

Methods: We conducted a 52-week, phase 3, parallel-design, open-label, treat-to-target trial involving adults with type 2 diabetes who had not previously received insulin.

Comparison of beta peak detection algorithms for data-driven deep brain stimulation programming strategies in Parkinson's disease.

Oscillatory activity within the beta frequency range (13-30 Hz) serves as a Parkinson's disease biomarker for tailoring deep brain stimulation (DBS) treatments. Currently, identifying clinically relevant beta signals, specifically frequencies of peak amplitudes within the beta spectral band, is a subjective process. To inform potential strategies for objective clinical decision making, we assessed algorithms for identifying beta peaks and devised a standardized approach for both research and clinical applications.