Publications by authors named "M A Bronstein"

Background: Obesity is a known risk factor for thromboembolic complications in trauma patients. The aim of our study is to evaluate the prevalence of thrombotic complications in obese geriatric patients.

Methods: We performed a retrospective analysis of TQIP (2017-2019).

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Article Synopsis
  • - Structure-based drug design (SBDD) focuses on creating small molecules that accurately target specific proteins, using structural data to help propose new drug candidates.
  • - Current methods typically require extensive dataset preparation and retraining for different tasks, while our approach introduces a single pretrained model that can handle multiple design challenges.
  • - We introduce DiffSBDD, a diffusion model that generates new ligands based on protein structures, and demonstrate how it can be enhanced with constraints for better drug candidate quality.
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Background: This study aimed to assess the medical costs, and the combined costs of fatal firearm injury and fatal falls during a 5 year period. While fatal firearm injury represents a significant public health concern, the healthcare community is faced with the significant challenge of fatal falls, particularly in light of the elderly population growth.

Methods: Data were exported from the Web-based Injury Statistics Query and Reporting System database for fatal firearm and falls in patients aged between 15-85 years-old.

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  • De novo protein design aims to create new proteins that evolution hasn't explored, with challenges in developing structural templates to guide the design process.* -
  • Researchers introduced "Genesis," a convolutional variational autoencoder, which effectively learns protein structure patterns and collaborates with trRosetta to design sequences for various protein folds.* -
  • The team demonstrated Genesis's ability to replicate native-like structural features in both known and novel protein folds, showcasing its potential for rapid protein design while addressing designability issues effectively.*
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  • Unplanned transfers from the General Ward to Critical Care Units often happen when a patient's condition worsens, leading to longer hospital stays and increased mortality rates.
  • A study conducted on 8,317 admissions found that 124 patients (14 per 1,000) were transferred, primarily elderly individuals with conditions like hypertension, heart failure, and respiratory issues.
  • The findings indicate that a significant number of patients who were transferred showed stable NEWS scores beforehand, highlighting potential inadequacies in monitoring and care processes in the General Ward.
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