Modeling dosimetric benefits from daily adaptive RT for gynecological cancer patients with and without knowledge-based dose prediction.

Purpose: Daily online adaptive radiotherapy (ART) improves dose metrics for gynecological cancer patients, but the on-treatment process is resource-intensive requiring longer appointments and additional time from the entire adaptive team. To optimize resource allocation, we propose a model to identify high-priority patients.

Methods: For 49 retrospective cervical and endometrial cancer patients, we calculated two initial plans: the treated standard-of-care (Initial) and a reduced margin initial plan (Initial) for adapting with the Ethos treatment planning system.

Factors that Influence Applicant Choice of In-Person versus Virtual Interview Format.

Background: Governing bodies of graduate medical education recommend conducting interviews virtually. Although most programs remain compliant with this guidance, it is unclear if this is broadly supported by interviewees. Virtual interview (VI), in-person interview (IPI), and virtual interview with an optional in-person visit (VI+) formats have unique strengths and weaknesses.

digitalMALDI: A Single-Particle-Based Mass Spectrometric Detection System for Biomolecules.

The development of a real-time system for characterizing individual biomolecule-containing aerosol particles presents a transformative opportunity to monitor respiratory conditions, including infections and lung diseases. Existing molecular assay technologies, although effective, rely on costly reagents, are relatively slow, and face challenges in multiplexing, limiting their use for real-time applications. To overcome these challenges, we developed digitalMALDI, a laser-based mass spectrometry system designed for single-particle characterization.