Evaluating dimensionality reduction of comorbidities for predictive modeling in individuals with neurofibromatosis type 1.

Objective: Dimensionality reduction techniques aim to enhance the performance of machine learning (ML) models by reducing noise and mitigating overfitting. We sought to compare the effect of different dimensionality reduction methods for comorbidity features extracted from electronic health records (EHRs) on the performance of ML models for predicting the development of various sub-phenotypes in children with Neurofibromatosis type 1 (NF1).

Materials And Methods: EHR-derived data from pediatric subjects with a confirmed clinical diagnosis of NF1 were used to create 10 unique comorbidities code-derived feature sets by incorporating dimensionality reduction techniques using raw International Classification of Diseases codes, Clinical Classifications Software Refined, and Phecode mapping schemes.

Neutrophils initiate pro-inflammatory immune responses in early endometriosis lesion development.

Endometriosis is a chronic gynecological disease that affects 1 in 10 reproductive-aged women. Most studies investigate established disease; however, the initiation and early events in endometriotic lesion development remain poorly understood. Our study used neutrophils from human menstrual effluent from subjects with and without endometriosis for immunophenotyping, and a mouse model of endometriosis and a mouse endometriosis cell line to determine the role of neutrophils in the initiating events of endometriosis, including attachment and survival of minced endometrial pieces.

Patients' Perceptions of the Efficacy, Safety, and Quality of the Evidence of Medicinal Cannabis: A Survey of Australian Cancer Patients.

Introduction: Despite the increased demand for medical cannabis (MC), MASCC guidelines state that there is insufficient evidence of its efficacy and safety. Although research has explored medical professionals' perceptions of MC, there is to our knowledge minimal research exploring patients' perceptions, particularly in an Australian cancer setting.

Methods: A survey of Australian cancer patients attending oncology outpatient clinics was performed.

Adverse events associated with umbilical vascular catheters in neonatal intensive care: Development of a risk prediction model.

Background: Adverse events associated with umbilical vascular catheters occur frequently in the neonatal intensive care unit. International guidelines recommend limiting catheter dwell time to reduce the risk of adverse events, and this drives clinical decision-making regarding catheter removal, yet other risk factors may also influence the risk of adverse events.

Objectives: The aim of this study was to develop a clinically useful risk prediction model that could be utilised in the neonatal intensive care unit to identify infants at a greater risk of developing an adverse event associated with umbilical vascular catheters.

Cellular interactions in self-directed immune mediated liver diseases.

The lymphocyte population must traverse a complex path throughout their journey to the liver. The signals which these cells must detect, including cytokines, chemokines and other soluble factors, steer their course towards further crosstalk with other hepatic immune cells, hepatocytes and biliary epithelial cells. A series of specific chemokine receptors and adhesion molecules drive not only the recruitment, migration, and retention of these cells within the liver, but also their localisation.