Background: Microsurgery is a core component of United States (US) plastic surgery residency curriculum. This study compares publicly available information on microsurgery curricula and training among US plastic surgery residency programs, while evaluating the background and experience of microsurgeon faculty at these institutions.
Methods: The authors performed a cross-sectional web-search search on 103 accredited US plastic surgery residency programs in March 2023.
Background: Muscle proteins of the obscurin protein family play important roles in sarcomere organization and sarcoplasmic reticulum and T-tubule architecture and function. However, their precise molecular functions and redundancies between protein family members as well as their involvement in cardiac diseases remain to be fully understood.
Methods: To investigate the functional roles of Obsc (obscurin) and its close homolog Obsl1 (obscurin-like 1) in the heart, we generated and analyzed knockout mice for , , as well as double knockouts.
Objective: To resolve the underestimation problem and investigate the mechanism of the AI model which employed to predict cardiovascular disease (CVD) risk scores from retinal fundus photos.
Methods: An ordinal regression Deep Learning (DL) model was proposed to predict 10-year CVD risk scores. The mechanism of the DL model in understanding CVD risk was explored using methods such as transfer learning and saliency maps.
Understanding laser interactions with subcellular compartments is crucial for advancing optical microscopy, phototherapy, and optogenetics. While continuous-wave (CW) lasers rely on linear absorption, femtosecond (fs) lasers enable nonlinear multiphoton absorption confined to the laser focus, offering high axial precision. However, current fs laser delivery methods lack the ability to target dynamic molecular entities and automate target selection, limiting real-time perturbation of biomolecules with mobility or complex distribution.
View Article and Find Full Text PDFAnesthesiol Perioper Sci
January 2025
Purpose: Persistent opioid use is one of the most common post-operative complications. Identification of at-risk patients pre-operatively is key to reducing post-operative opioid use. We sought to develop a predictive model for persistent post-operative opioid used and to determine if geographic factors from community databases improve model prediction based solely on electronic health records (EHRs) and claims data.
View Article and Find Full Text PDF