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Let's explore how AI can advance your public health mission. Whether you're a health department, research institution, or community organization—we'd love to connect.
Let's explore how AI can advance your public health mission. Whether you're a health department, research institution, or community organization—we'd love to connect.
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View OpportunitiesState & Local Health Departments: We partner with jurisdictions of all sizes to implement AI-powered surveillance, forecasting, and intervention optimization systems.
Federal Agencies: Collaborate on national-scale public health intelligence infrastructure, standards development, and evaluation studies.
International Organizations: Support WHO, UNICEF, and other global health bodies in leveraging AI for pandemic preparedness and health systems strengthening.
Academic Researchers: Joint research projects, co-authored publications, grant collaborations, and data sharing agreements advance the science of AI for public health.
Think Tanks & Policy Groups: Evidence synthesis, policy analysis, and strategic recommendations on AI governance in public health.
Student Programs: Internships, capstone projects, and thesis collaborations provide hands-on learning opportunities.
Hospital Networks: Population health management, readmission prediction, care coordination, and integration of clinical and public health data.
Community Health Centers: Tools adapted for safety-net settings, addressing social determinants and health equity priorities.
Health Plans: Predictive analytics for care management, preventive service optimization, and value-based care initiatives.
Tech Companies: Infrastructure partnerships, AI platform collaborations, and responsible AI initiatives focused on public health applications.
Foundations: Program design, evaluation, thought leadership, and strategic initiatives at the intersection of health, technology, and equity.
Impact Investors: Funding opportunities for scalable public health technology with measurable social impact.
We tailor engagements to partner needs. Common models include pilot projects (3-6 months), implementation partnerships (1-2 years), research collaborations, and technical assistance. Initial conversations help us understand your needs and design the right approach.
Absolutely. We're committed to health equity globally. We design tools for low-bandwidth environments, provide capacity building, and work with partners to secure funding for implementation in under-resourced contexts.
We implement encryption, access controls, audit logging, and comply with HIPAA, GDPR, and other relevant regulations. Privacy-preserving techniques like differential privacy and federated learning minimize data sharing requirements.
Requirements vary by application. We work with partners to assess existing infrastructure and identify gaps. Many solutions can start with readily available data (syndromic surveillance, vital statistics, public datasets) before expanding.
Pilot projects typically launch within 2-4 months. Full-scale implementation depends on complexity, data availability, and organizational readiness, generally ranging from 6-18 months. We provide realistic timelines during initial planning.
Yes. We offer training on AI fundamentals, model interpretation, and effective use of our tools. Ongoing technical support ensures successful deployment and helps partners build internal capacity for long-term sustainability.
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