Point-Based Prediction Model for Bladder Cancer Risk in Diabetes: A Random Survival Forest-Guided Approach.

Previous epidemiological studies have shown that diabetes is associated with an increased risk of several cancers, including bladder cancer. However, prediction models for bladder cancer among diabetes patients remain scarce. This study aims to develop a scoring system for bladder cancer risk prediction among diabetes patients who receive routine care in general outpatient clinics using a machine learning-guided approach.

Bidirectional causality of physical exercise in retinal neuroprotection.

Physical exercise is recognized as an effective intervention to improve mood, physical performance, and general well-being. It achieves these benefits through cellular and molecular mechanisms that promote the release of neuroprotective factors. Interestingly, reduced levels of physical exercise have been implicated in several central nervous system diseases, including ocular disorders.

Approach to otitis externa in Australian general practice.

Background: Acute otitis externa (AOE) is an inflammatory condition of the outer ear seen in Australian general practice and is prevalent in tropical climates like North Queensland.

Objective: This article aims to delineate key facets of AOE, identify high-risk populations and propose a streamlined management approach aligned with the American Academy of Otolaryngology Head and Neck Surgery (AAO-HNS) guideline, emphasising the role of primary care in optimal patient care.

Discussion: Outlined within this article are key elements of AOE, from anatomy to risk factors, examination, diagnosis, differentials, management, prevention and indications for referral.

IdopNetwork as a genomic predictor of drug response.

Despite being challenging, elucidating the systematic control mechanisms of multifactorial drug responses is crucial for pharmacogenomic research. We describe a new form of statistical mechanics to reconstruct informative, dynamic, omnidirectional, and personalized networks (idopNetworks), which cover all pharmacogenomic factors and their interconnections, interdependence, and mechanistic roles. IdopNetworks can characterize how cell-cell crosstalk is mediated by genes and proteins to shape body-drug interactions and identify key roadmaps of information flow and propagation for determining drug efficacy and toxicity.