Publications by authors named "C James Howell"

The combat medic (68W) will play a critical role in medical operations in the event of future large-scale combat operations (LSCOs). However, the combat medic is largely not prepared for LSCOs. The revised Medical Education and Demonstration of Individual Competence (TC 8-800) state 68Ws much be able to provide advanced airway and trauma management, medication administration, and advanced casualty movement.

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Purpose: Lay midwives attend most births at home in Guatemala facing many challenges with limited resources. Current research demonstrates that acupressure can reduce preterm contractions and encourage post-term labor. Sharing acupressure techniques with lay midwives could improve birth outcomes in Guatemala.

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Article Synopsis
  • The study examined the career trajectories of 167 microsurgeons who completed their fellowships from 2016 to 2020, finding that 92.2% initially practiced microsurgery, with many entering academia.
  • About 31.4% of these surgeons switched jobs within five years, with a notable 58% changing their practice settings, while factors like gender and training did not significantly impact job changes.
  • Those in academic positions were more likely to switch jobs, and having a microsurgery fellowship was linked to a higher likelihood of remaining in academia after a job change.
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Machine learning (ML) methods offer opportunities for gaining insights into the intricate workings of complex biological systems, and their applications are increasingly prominent in the analysis of omics data to facilitate tasks, such as the identification of novel biomarkers and predictive modeling of phenotypes. For scientists and domain experts, leveraging user-friendly ML pipelines can be incredibly valuable, enabling them to run sophisticated, robust, and interpretable models without requiring in-depth expertise in coding or algorithmic optimization. By streamlining the process of model development and training, researchers can devote their time and energies to the critical tasks of biological interpretation and validation, thereby maximizing the scientific impact of ML-driven insights.

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