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Find similar grantsSupports research on neural and behavioral sensing for mental state analysis.
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Or search similar grants →According to the current listing, eligibility includes: Universities and research institutions with mental health research programs. Confirm the full requirements in the official notice before applying.
Novel Multimodal Neural, Physiological, and Behavioral Sensing and Machine Learning for Mental States is funded by National Institute of Mental Health (NIMH). Verify program details on the funder's official page before applying.
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The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for the creation of a Validation Center to serve as a dedicated hub for the comprehensive evaluation and characterization of AI-enabled, image-based, multimodal CDS tools developed by the PRIMED-AI Consortium, to ensure these tools are reliable, reproducible, and generalizable. The Validation Center will focus on verification, validation, interoperability, and uncertainty quantification to comprehensively characterize performance of the CDS tools developed by the program. The core functions of the Validation Center will involve the systematic validation of PRIMED-AI Consortium deliverables, including those emerging from award recipients under the Playbook, Data-to-Model Academic-Industrial Partnerships, and Model-to-Clinic NOFOs. Funding Opportunity Number: RFA-RM-27-014. Assistance Listing: 93.310. Funding Instrument: CA. Category: HL. Award Amount: Up to $2M per award.
The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges.The purpose of this NOFO is to create a Logistics Center for the PRIMED-AI Program to facilitate and coordinate PRIMED-AI activities to maximize impact for the PRIMED-AI community. Within the Logistics Center, three integrated Cores will serve the functions of Administration, Evaluation, and Outreach for the PRIMED-AI Consortium. It is expected that the Logistics Center will work closely with other PRIMED-AI consortium members to collect, curate and disseminate information regarding tools developed by the PRIMED-AI award recipients, and will facilitate widespread access and awareness across the relevant scientific, patient, and clinical communities. Funding Opportunity Number: RFA-RM-27-015. Assistance Listing: 93.310. Funding Instrument: CA. Category: HL. Award Amount: Up to $575K per award.
Joint NSF/NIH interagency program (NSF 25-542) supporting transformative, high-risk/high-reward advances in AI and advanced data science for biomedical and public health research. Funds interdisciplinary teams developing novel methods to collect, sense, connect, analyze, and interpret health data from individuals, devices, and systems. Six priority themes: fairness and trustworthiness in health AI systems, transformative analytics using AI/ML for biomedical research, multimodal wearable and implantable biomarker sensing systems, cyber-physical systems for closed-loop health interventions, robotics for health outcomes, and biomedical image interpretation combining human perception with computational analysis. All proposals require a mandatory Collaboration Plan demonstrating cross-disciplinary integration.
PMHCA (HRSA-26-058) makes $9.79 million available for up to 22 awards of up to $445,000 to build tele-consultation networks that help pediatric primary care providers manage children's behavioral health. The catch buried in the eligibility section: applicants must NOT already hold a PMHCA award — which effectively reserves the new-state lane for the eight unfunded states and territories, plus tribes everywhere. Here's how to read it and what wins.
Read articleTennessee's $206.9M RHTP allocation begins distribution with a 30-day virtual maternal/child mental health consultation grant. The state plans a new opportunity every Friday — the cadence and structure here are the blueprint for how the $50B nationwide program rolls out.
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