USC’s Nursing Science PhD shifts the focus from bedside protocols to breakthrough discovery. Scholars sequence patient microbiomes to predict pressure-injury risk, deploy federated-learning models on smart-watch HRV streams for heart-failure alerts, and co-design culturally rooted tele-health apps with South LA elders. A Precision-Health core teaches polygenic-risk interpretation; Implementation-Science residencies embed candidates in LA County clinics to translate findings into ICD-coded workflows. Policy practicums draft nurse-led scope-of-practice briefs, ensuring graduates who can pip-install PyTorch and pass IRB in the same afternoon.
Graph-based early-warning model for sepsis using EHR + wearable vitals
CRISPR-Cas13 saliva assay validating pathogen load in home testing
Culturally tailored CBT chatbot reducing postpartum depression among Latinx parents
Randomized crossover trial of VR mindfulness for chemotherapy nausea
Edge-AI fall-risk detector leveraging mm-wave radar in smart homes
Geo-spatial analysis linking heat-island maps to asthma ER visits
Policy memo on nurse-prescriptive authority in digital therapeutic prescriptions
Blockchain consent ledger for longitudinal symptom-tracking cohorts
Sleep-stage classification using single-lead ECG embedded in hospital gowns
LSTM adherence predictor for HIV PrEP text-message programs
Citizen-science air-quality curriculum co-developed with school nurses
Automatic NLP extraction of SDoH from triage notes with bias audit
Carbon footprint audit comparing reusable vs. disposable PPE
Hybrid implementation trial of nurse-led tele-stroke follow-up
AI-generated plain-language discharge instructions evaluated for comprehension
3-D printed ergonomic syringe adapter reducing nurse repetitive-strain
Wearable metabolomics patch correlating fatigue with chemotherapy cycles
Neuro-feedback study on HRV biofeedback coaching for burnout in ICU nurses
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