Collabortives: PPH

PPH Core Areas of Work

Members investigate how these factors interact to shape outcomes across the lifespan—from pregnancy and newborn health through adulthood and aging. By connecting molecular signals, patient-reported outcomes, and contextual influences, the Collaborative seeks to identify mechanisms of illness, predict risk, and inform equitable, person-centered interventions.

Research in the Collaborative emphasizes the development of culturally responsive, technology-enabled, and scalable solutions that address cancer, cardiometabolic disease, HIV, mental health, survivorship and cognition, lifestyle and exercise, and maternal–newborn health. Grounded in nursing science, the Collaborative leverages advances in data science and innovation to create new tests, tools, and technologies that accelerate discovery and translation, ultimately improving health and reducing disparities across diverse populations.

Precision Omics, Biomarkers, and Ancestry-Aware Methods

Advancing multi-omic discovery (genomics, epigenomics, metabolomics, microbiomics) to define mechanisms and intervention targets
Incorporating ancestry and local-ancestry modeling to improve prediction and reduce bias in diverse and admixed populations
Developing biomarkers for early detection, prognosis, and treatment response

Symptom Science, Survivorship, and Chronic Conditions

Phenotyping fatigue, pain, cognitive changes, and treatment-related toxicities in cancer and other complex conditions
Linking molecular and behavioral signatures with symptom trajectories and functional outcomes
Designing stress management and survivorship interventions to improve the quality of life for patients and caregivers

Sleep, Circadian, and Behavioral Precision

Investigating how sleep and circadian disruption influence cardiometabolic risk and chronic disease
Developing personalized interventions using sensors, wearables, and adaptive designs
Integrating sleep and behavioral health into prevention and self-management strategies

Cardiometabolic Prevention, Exercise, and Lifestyle Interventions

Creating culturally relevant strategies to prevent and manage diabetes and cardiovascular disease
Promoting exercise and technology-assisted approaches for at-risk and T1D/T2D populations
Evaluating adherence, engagement, and long-term outcomes in real-world contexts

Mental Health, HIV, and Multimorbidity

Parsing biological and social drivers of depression and mental health in the context of chronic illness
Using omics-informed phenotyping of depression and inflammation in women with or at risk for HIV
Designing integrated, culturally tailored interventions for comorbid mental and physical health conditions

Data Science, Digital Health, and Innovation

Applying machine learning, AI, and advanced analytics to advance precision health research
Creating mobile health and digital tools for self-monitoring, engagement, and clinical decision support
Developing and validating new tests, measures, and biosensing technologies for prediction, diagnosis, and monitoring
Building scalable, technology-enabled approaches to integrate precision health innovations into practice