Leveraging AI and Advancing Digital and Precision Health Solutions

image showing a presentation about artificial intelligence and sleep

Nurses sit at the point where data, technology, and patient experience meet, and NYU Meyers faculty are using that vantage point to build tools that work in real care settings. Researchers in this area are applying large language models to deliver behavioral sleep therapy and to extract cognitive assessment data from clinical records; designing mobile applications that connect family caregivers, clinicians, hospice teams, and adult day centers caring for people living with dementia, including Spanish-speaking and Chinese American families; and building precision public health tools, including biomarker- and metabolite-based risk indices, that identify preterm birth and infant risk earlier and point toward actionable prevention. Their work extends to digital therapeutics for perinatal anxiety among pregnant people with low incomes and to trust-centered approaches that strengthen reproductive health decision-making and research participation among Black women experiencing infertility. Importantly, many of these tools are co-designed with the communities they are meant to serve and tested for feasibility, usability, and acceptability before scale-up. Together, this work aims to make personalized, evidence-based care more accessible, particularly for groups historically underserved by digital health and precision medicine.

Explore recent publications, peer-reviewed articles, books, and ongoing research projects from our faculty, listed below in
alphabetical order.

 

                                                                                            

Abraham Brody Professional Headshot

Abraham A. Brody, PhD, RN

Dr. Brody has developed and evaluated technology-supported approaches to improving dementia and serious illness care. His work includes Aliviado Dementia Care, an evidence-based program that equips home health and hospice teams with tools and training to improve symptom management, strengthen caregiver support, and deliver more person-centered care for individuals living with dementia. His team has extended the program with mobile apps for hospice clinicians and, most recently, for family care partners, and is scaling the model to advance health equity in hospice care with support from the Hillman Foundation. He is also testing whether large language models can extract cognitive assessment data from clinical notes to support dementia research and care.

Recent Publications and Presentations

In the News

Labs, Programs, and Websites: 

Aliviado Dementia Care · Aliviado at NYU Meyers · Scaling Aliviado Dementia Care Project · NYU Meyers Faculty Profile

Laura Jelliffe-Pawlowski professional headshot

Laura Jelliffe-Pawlowski, PhD, MS

Dr. Jelliffe-Pawlowski is advancing precision public health approaches that integrate biomolecular discoveries, population data, and predictive analytics to improve maternal and infant health. Her team developed the Preterm Birth Actionable Risk Index (PTB-ARIx), which focuses risk prediction on modifiable factors that have evidence-based interventions, and has shown that routine newborn screening metabolites may help identify infants at elevated risk of sudden infant death syndrome. She is also evaluating digital interventions for perinatal mental health, including the THRIVE randomized trial of a digital cognitive behavioral therapy app for anxiety among pregnant people with low incomes. She is an inventor on multiple awarded and pending patents related to the prediction and treatment of preterm birth, preeclampsia, and outcomes of prematurity. She leads the International HOPE Consortium.

Recent Publications and Presentations

In the News

Labs, Programs, and Websites: International HOPE Consortium · NYU Meyers Faculty Profile

Xiaoyue Liu Professional Headshot

Xiaoyue (Sherry) Liu, PhD, RN

Dr. Liu has developed a generative AI-powered chatbot that delivers core components of cognitive behavioral therapy for insomnia (CBT-I) through a familiar messaging app. Her research tests whether large language models can make behavioral sleep interventions more accessible and engaging, particularly for adults experiencing sleep disturbances and cardiovascular risk. An initial study found high user ratings and improvements in self-reported sleep, and an NYU-funded pilot trial of the intervention begins in 2026.

Recent Publications and Presentations

Labs, Programs, and Websites: Pilot Testing of an AI-Powered Sleep Intervention · NYU Meyers Faculty Profile

Chenjuan Ma Professional Headshot

Chenjuan Ma, PhD, RN

Dr. Ma is designing an AI-powered mobile application to bridge communication gaps in home dementia care for Chinese American families. Working with home healthcare professionals and family caregivers, her team is identifying the features needed to deliver culturally and linguistically tailored support that strengthens communication and care coordination. Her broader research examines staffing, telehealth, care quality, and racial and ethnic disparities in access to high-quality home health care.

Recent Publications and Presentations

Labs, Programs, and Websites: Mobile App for Culturally and Linguistically Tailored Home Dementia Care Project · NYU Meyers Faculty Profile

Tina Sadarangani Professional Heashot

Tina Sadarangani, PhD, RN

Dr. Sadarangani has developed CareMobi, a free mobile application that improves communication and care coordination among family caregivers, primary care providers, and adult day health centers serving people living with dementia. Her team has demonstrated strong usability and acceptability among caregivers and clinicians and has met feasibility benchmarks in adult day center settings, while identifying integration with electronic health records as a key next step. A web version for agency care coordinators is now in development to support broader adoption.

Recent Publications and Presentations

In the News

Labs, Programs, and Websites: CareMobi · CareMobi Project · NYU Meyers Faculty Profile