Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH)

Synopsis

This interagency program solicitation supports the development of transformative, high-risk/high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities. Scientific and engineering innovations by interdisciplinary teams develop novel methods to collect, sense, connect, analyze, and interpret data from individuals, devices, and systems, enabling discovery and optimizing health. Solutions to these complex biomedical or public health challenges requires teams that are ready to address these issues, while advancing fundamental science and engineering.

Please watch the Smart and Connected Health presentation from ISMB 2022, which will give insight into how to prepare a successful application.

Review full program guidelines and learn how to submit a proposal in the latest solicitation.

Read the NSF Solicitation 21-530

Read the NIH Notice NOT-OD-21-011

Upcoming Activities

Awardees

FY21 NIH Awardees
Grant Number	Award IC	PI Name	PI Institution	Award Title
1R01EY033847-01	NEI	Truong Nguyen	University of California San Diego	SCH: Multimodal Retina Image Alignment and Applications
1R01EY033861-01	NEI	Tieming Liu	Oklahoma State University	SCH: Harnessing Tensor Information to Improve EHR Data Quality for Accurate Data-driven Screening of Diabetic Retinopathy with Routine Lab Results
1R01CA270454-01	NCI	Kwan-Liu Ma	University of California, Davis	SCH: Smart EHR Data Analytics to Enhance Cancer Care Multiteam Systems
1R01HD108473-01	NICHD	Yong Zhu	North Carolina State University	SCH: A personalized wearable rehabilitation sensing system for stroke survivors
1R01HL163439-01	NHLBI	Mounya Elhilali	Johns Hopkins University	SCH: Smart Auscultation for Pulmonary Diagnostics and Imaging
1R01HL163515-01	NHLBI	Thomas Stohmer	University of California, Davis	SCH: Heterogenous, dynamic synthetic data: From algorithms to clinical applications
1R01EB032896-01	NIBIB	Shandong Wu	University of Pittsburgh	SCH: Leverage clinical knowledge to augment deep learning analysis of breast images
1R01NS126690-01	NINDS	GQ Zhang	The University of Texas Health Science Center at Houston (UTHealth Houston)	SCH: Neurophysiological AI-Ready Data Resource
1R01LM014026-01	NLM	Cyrus Shahabi	University of Southern California	SCH: Wearables for Health and Disease Knowledge (W4H)
1R01LM014027-01	NLM	Shigang Chen	University of Florida	SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinsons Research
1R01DE031832-01	NIDCR	Rong Wang	Illinois Institute of Technology	SCH: Multidimensional Microfluidic Salivary Sensor with Adversarial Knowledge Distillation for Point-of-Care Assessment of Periodontitis and Comorbidities
1R01AG077003-01	NIA	Xiaopeng Zhao	The University of Tennessee, Knoxville	SCH: Robotic Caregiver to Comprehend, Assist, Relieve, and Evaluate for Patients with Alzheimer’s Disease (Robotic CARE for AD)
1R01AG077016-01	NIA	Fenglong Ma	The Pennsylvania State University	SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimers Disease Detection
1R01AG077017-01	NIA	Edison Thomaz	The University of Texas at Austin	SCH: Digital Biomarker and Analytics for Cognitive Impairment with Mobile and Wearable Sensing
1R01AG077018-01	NIA	Meltem Izzetoglu	Villanova University	SCH: Assessment of Cognitive Decline using Multimodal Neuroimaging with Embedded Artificial Intelligence
1R01AR080826-01	NIAMS	Hyunglae Lee	Arizona State University	SCH: Smart User-Effective Data-Enabled (SUEDE) Shoe for Ankle Injury Prevention
1R01NR020362-01	NINR	Arjun Athreya	Mayo Clinic in Rochester, Minnesota	SCH: Wearable Augmented Prediction of Burnout in Nurses: A Synergy of Engineering, Bioethics, Nursing

Awards made prior to FY21 can be found in the NIH RePORTER.