Purpose: To evaluate the radioanatomical measurements of the zygoma as a guide for treatment planning of quad zygomatic implant placement.
Methods: This cross sectional study was carried on 17 patients of 34 zygomatic regions reported with atrophic maxilla for placement of zygomatic implants. The zygomatic implants were placed virtually in a quad approach using "Real Guide" version 3.
Indole-3-carbinol (I3C) is a metabolic derivative of glucobrassicin found in cruciferous vegetables. Known for its anticarcinogenic properties, I3C has been shown to target the NEDD4 family HECT E3 ligases, NEDD4-1 and WWP1, yet confirmation for the latter is lacking. Here, we characterize the interactions of I3C and a set of 17 derivatives with WWP1 and its homologue, WWP2.
View Article and Find Full Text PDFBackground: Data exploration in modern electronic health records (EHRs) is often aided by user-friendly graphical interfaces providing "self-service" tools for end users to extract data for quality improvement, patient safety, and research without prerequisite training in database querying. Other resources within the same institution, such as Honest Brokers, may extract data sourced from the same EHR but obtain different results leading to questions of data completeness and correctness.
Objectives: Our objectives were to (1) examine the differences in aggregate output generated by a "self-service" graphical interface data extraction tool and our institution's clinical data warehouse (CDW), sourced from the same database, and (2) examine the causative factors that may have contributed to these differences.
J Med Internet Res
November 2024
Large language models (LLMs) continue to exhibit noteworthy capabilities across a spectrum of areas, including emerging proficiencies across the health care continuum. Successful LLM implementation and adoption depend on digital readiness, modern infrastructure, a trained workforce, privacy, and an ethical regulatory landscape. These factors can vary significantly across health care ecosystems, dictating the choice of a particular LLM implementation pathway.
View Article and Find Full Text PDFChildhood obesity is a global health concern that has its origins before birth. Although genetics plays a crucial role, increasing evidence suggests that epigenetic modifications during fetal life could also influence its incidence. In this model, during the fetal period, interactions between genetic makeup, intrauterine factors, and environmental conditions, increase the risk of childhood obesity.
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