A Modern Education Theory Approach to Development of a Benchtop Simulation Model for Ultrasound-Guided Percutaneous Nephrolithotomy.

To develop and validate a high-fidelity, nonbiohazardous simulator model for the ultrasound-guided percutaneous nephrolithotomy procedure. We employed a systematic framework based on Delphi consensus and modern education theory to design a simulation model. Twelve expert surgeons provided input through a hierarchal task analysis and identified procedural tasks, anatomical landmarks, and potential errors.

A Prospective, Randomized, Noninferiority Study to Evaluate the Safety and Effectiveness of Steerable Ureteroscopic Renal Evacuation Compared with Standard Ureteroscopy: 30-Day Results of the ASPIRE Study.

We report the first multicenter, prospective, randomized noninferiority controlled trial of steerable ureteroscopic renal evacuation (SURE) for nephrolithiasis treatment. Candidates for laser lithotripsy ≥18 years with ≥1 renal stone ≥7 mm and 7-20 mm stone burden were randomized 1:1 SURE ureteroscopy (URS). SURE was performed using the CVAC Aspiration System, a novel steerable irrigation-aspiration catheter.

Harnessing the rhizosphere sponge to smooth pH fluctuations and stabilize contaminant retention in biofiltration system.

Fluctuating pH conditions can affect heavy metal mobility, thereby limiting the efficiency of biofiltration systems (BS). To address this, we developed an innovative rhizosphere sponge, biochar-based bioreactor (RBB), designed to stabilize Cd removal across a pH range of 5 to 9. RBB consistently outperformed the control, achieving a notable 91.

Longer Preoperative Antibiotic Duration Prior to High-Risk Ureteroscopy Does Not Decrease Infectious Complications.

Postoperative infections after ureteroscopy are common and potentially devastating complications. National and international guidelines recommend treatment of symptomatic positive urine cultures prior to operation, but how to manage patients with asymptomatic colonization remains unclear. In clinical practice, there is wide variation in the choice and duration of antibiotics for these patients.

CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data.

Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opportunity for unlocking insights into health and disease at the level of single cells. Meta-analyses that span diverse datasets building on recent advances in large language models and other machine-learning approaches pose exciting new directions to model and extract insight from single-cell data.