Publications by authors named "A Ka Tat Tsang"
Article Synopsis
- The report highlights a community health system's implementation of universal screening and treatment pathways for youth vaping over a 4-year period.
- Data included screening rates, positive tests, referrals, and quit rates among teens based on their demographics.
- Results showed that 73% of teens were screened, 5.2% tested positive, and among those referred, about 31% achieved vaping abstinence, suggesting this model could effectively help other health systems combat teen vaping.
Light-dependent switching between two flagellar beating states selects versatile phototaxis strategies in microswimmers.
Proc Natl Acad Sci U S A
November 2024
Microorganisms have evolved sophisticated sensor-actuator circuits to perform taxis in response to various environmental stimuli. How any given circuit can select between different taxis responses in noisy vs. saturated stimuli conditions is unclear.
View Article and Find Full Text PDFBackground: Caregiver stress can pose serious health and psychological concerns, highlighting the importance of timely interventions for family caregivers of people with dementia. Single-session mindfulness-based interventions could be a promising yet under-researched approach to enhancing their mental well-being within their unpredictable, time-constrained contexts. This trial will evaluate the effectiveness and feasibility of a blended mindfulness-based intervention consisting of a single session and app-based follow-up in reducing caregiver stress.
View Article and Find Full Text PDFArticle Synopsis
- Immune checkpoint inhibitor (ICI) therapy shows promise for non-small cell lung cancer (NSCLC) patients with high PD-L1 expression, but not all patients respond effectively.
- * This study uses multiplex fluorescent immunohistochemistry (mfIHC) to analyze 1,269 images from 52 metastatic NSCLC patients, identifying key interactions between tumor cells and immune cells that may predict treatment response.
- * The research uncovers specific spatial patterns, like increased activity of cytotoxic and helper T-cells in responders, and introduces a deep learning model that identifies crucial cellular regions influencing therapy outcomes.*