Personalizing computational models to construct medical digital twins.

Digital twin technology, pioneered for engineering applications, is being adapted to biomedicine and healthcare; however, several problems need to be solved in the process. One major problem is that of dynamically calibrating a computational model to an individual patient, using data collected from that patient over time. This kind of calibration is crucial for improving model-based forecasts and realizing personalized medicine.

Macular Changes in Adults with History of Premature Birth.

Purpose: To characterize changes in macular structure and vascularity seen in premature-birth adults.

Methods: Retrospective review of adult patients seen in our clinic from July 2018 to November 2020 with history of premature birth not requiring treatment for retinopathy of prematurity (ROP), as well as healthy controls. Swept-source OCT-angiography (OCT-A) scans were analyzed for various parameters related to macular structure and vascularity.

Foscarnet eyedrops for the treatment of refractory herpetic keratitis.

Purpose: The purpose of this case series is to describe the clinical course of patients receiving foscarnet eyedrops for the treatment of refractory herpetic keratitis.

Observations: Six patients diagnosed with herpetic keratitis were treated with foscarnet 24 mg/mL (2.4%) eyedrops with resulting improvement in keratitis.

Barriers and Facilitators to Implementing Keep It Up!, A Digital Health Intervention, in Community-Based Organizations.

Despite ongoing investments in the development and testing of new digital interventions for HIV prevention, the widespread use of interventions with proven effectiveness remains limited. This study assessed real-world implementation of a digital HIV prevention intervention, Keep It Up!. The study aimed to identify barriers and facilitators to implementing Keep It Up! within community-based organizations (CBOs) serving racially diverse sexual and gender minoritized populations.