Cost of Living Cash Credit (COLCC)

PCORI Cycle 2 2026 Methods Funding Announcement specifically prioritizes Methods to Improve the Use of Artificial Intelligence (AI) and Machine Learning (ML) in Patient-Centered Comparative Effectiveness Research (CER). The program funds studies addressing high-impact methodological gaps, with AI/ML topics including applications of AI/ML to augment or transform research methodologies or processes and approaches using AI/ML to enhance health communication. Additional priority areas include Methods to Support Use of Real-World Data in Multi-Site Patient-Centered CER and Methods to Improve Study Design. Awards provide up to $750,000 in direct costs for up to 3 years from a total program budget of $12 million. Applicants must address PCORI Foundational Expectations for Partnerships in Research, ensuring patients and stakeholders meaningfully contribute lived experience. Letter of Intent deadline is April 28, 2026, with full applications due September 1, 2026.

Towsley Foundation Grants is a grant from Harry A. & Margaret D. Towsley Foundation supporting charitable organizations working to improve the lives of people and communities, with a primary geographic focus on Michigan. Capital project requests may not exceed 10% of total project cost and are normally paid in equal annual installments over three to five years. Individuals and private foundations are not eligible. The Foundation does not fund programs on an ongoing annual basis and encourages financial sustainability and diverse funding sources. Organizations that previously received support must wait at least two years after final payment before reapplying. Only one application per organization per grant cycle is permitted.

IA Resilience call reinforcing Europe's strenght in health is sponsored by European Commission — Horizon Europe. Expected Outcome: the proposals under this call are expected to address one or more of the following subjects : • Enhanced personalized monitoring, care and treatments, focusing on the development of highly customized healthcare solutions, including the required research and diagnostic tools, tailored to individual needs, covering various scenarios such as chronic disease management, physiotherapy, precision diagnosis, personalized medicine/treatment, pre- and postoperative care, and daily assistance in homes and common spaces. It also targets effective management of chronic diseases and elderly care through personalized monitoring and interventions facilitated by advanced sensor technologies and edge-to-cloud solutions. This includes the development and integration of solutions for Hospitalization at Home, enabling patients to receive complex, remotely supervised care using intelligent medical devices capable of sensing, analysing, and transmitting real-time data. This requires a continuum, from in-hospital diagnostics to robust, long-term patient support at home via AI-driven care pathways and hospitalization at home. • Prevention and treatment of diseases, allowing the improved scientific understanding, early detection and proactive prevention of diseases through scientific research, continuous monitoring, predictive analytics, and timely alerts, possibly powered by AI algorithms. This preventive approach enables early intervention and significantly reduces risks associated with many illnesses such as viral infections (e.g. epi- and pan demics), cardiovascular diseases, diabetes complications affecting the health of the young and old. • Efficient, scalable, and cost-effective healthcare, demonstrating how ECS-based technologies can streamline clinical workflows, reduce administrative burdens, and improve resource allocation in healthcare systems. This includes automation and intelligent operations management across clinical, diagnostic, and homecare settings, ultimately improving cost-effectiveness and scalability. • Secure and compliant healthcare continuum, including solutions that ensure robust data protection and regulatory compliance (e.g. GDPR), particularly in handling sensitive health data. Projects should adopt privacy-by-design principles and implement secure data handling architectures using localized edge computing, encryption, authentication, and anonymization strategies within both clinical and assisted living environments. • Seamless interoperability across devices, systems, and platforms, addressing the integration of heterogeneous systems across the edge-to-cloud continuum. Solutions should rely on open standards and modular architectures to ensure interoperability, flexibility, and adaptability across various healthcare settings and use cases, fostering a unified European health-tech ecosystem. Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space