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Find similar grantsThis program provides financial assistance to eligible patients living with diffuse large B-cell lymphoma (DLBCL) to help with out-of-pocket medication costs, including copays, coinsurance, and deductibles.
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Or search similar grants →According to the current listing, eligibility includes: Patients must be receiving treatment for DLBCL, reside and receive treatment in the U. S. or U. S. Confirm the full requirements in the official notice before applying.
The current listing shows $3,200 (up to $6,400 total per year). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Diffuse Large B-cell Lymphoma Copay Assistance Program is funded by Patient Advocate Foundation (PAN Foundation). Verify program details on the funder's official page before applying.
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MFAI is the program to target if the research question is why modern AI works rather than what it can be made to do. NSF funds mathematical and theoretical foundations of artificial intelligence here, explicitly including the capabilities and limitations of foundation models, generative models, deep learning, statistical learning and federated learning, alongside the development of mathematically grounded design principles for current and next-generation AI systems. That framing has become considerably more consequential than it was when the solicitation first appeared: the empirical success of large language and diffusion models has outrun theoretical understanding of them, and a program funding rigorous accounts of foundation model behavior - expressivity, generalization, scaling, sample complexity, the mechanics of in-context learning - sits directly on that gap. Awards are $500,000 to $1,500,000 over 36 months with up to 15 awards per competition against roughly $8,500,000 in annual new-award funding, which puts the effective success rate in ordinary NSF core-program territory rather than the long odds of a center competition. This is a joint MPS and CISE program, and proposals that are genuinely bilingual - mathematically serious and connected to real machine learning practice - do better than those legible to only one of the two communities. A practical eligibility constraint catches some applicants off guard: PIs, co-PIs and senior/key personnel must hold a tenured or tenure-track position, or a primary full-time paid appointment in a research or teaching position, at an eligible U.S. organization, which excludes many postdoctoral and soft-money researchers from leading proposals. The October 9, 2026 deadline continues an established annual cycle on approximately October 10, so groups that miss it have a predictable next opportunity, and the recurring schedule makes MFAI worth building a multi-year strategy around rather than treating as a one-off.
The Fishing Safety Research Grant Program established by The Coast Guard Authorization Act of 2010 (P.L. 111-281), as amended by the Howard Coble Coast Guard and Maritime Transportation Act of 2014 (P.L. 113-281), is intended to provide funding to individuals in academia, members of non-profit organizations and businesses involved in fishing and maritime matters, and other persons with expertise in commercial fishing safety. The funding will be used to support research on improving the occupational safety of workers in the commercial fishing industry. This includes: improving vessel design; developing and improving emergency and survival equipment; enhancing vessel monitoring systems; improving communication devices, de-icing technology, and severe weather detection. In order to support and administer the grant program, the Coast Guard and NIOSH signed a Memorandum of Understanding on May 17, 2018. While the Coast Guard, along with the Occupational Safety and Health Administration (OSHA), provides regulatory oversight for safety and health matters within the commercial fishing industry, NIOSH is an agency operating under the Centers for Disease Control and Prevention (CDC) with the mission of generating new knowledge in occupational safety and health and transferring that knowledge into practice to prevent worker injury, illness and death. NIOSH conducts and funds scientific research, develops methods to prevent occupational hazards, develops guidance and authoritative recommendations, translates scientific knowledge into products and services, disseminates information, identifies factors underlying work-related disease and injury and responds to requests for workplace health hazard evaluations. NIOSH has an extensive history of conducting research to understand and to reduce hazards in the commercial fishing industry. This research has largely been conducted in close collaboration with crews, industry and the US Coast Guard. To learn more about NIOSH’s work in commercial fishing safety and health, visit https://www.cdc.gov/niosh/topics/fishing/default.html. Research objectives supported by NIOSH include, but are not limited to, the following: identification and investigation of the relationships between hazardous working conditions and associated occupational injuries and fatalities; development of more sensitive means of evaluating hazards at work sites; development of methods for measuring early markers of injuries and fatalities; development of new protective equipment and engineering control technology to reduce work-related injuries and fatalities; development of work practices that reduce the risks of occupational hazards; and evaluation of the technical feasibility or application of a new or improved occupational safety procedure, method, technique, or system, including assessment of economic and other factors that influence their diffusion and successful adoption in workplaces. Funding Opportunity Number: RFA-OH-22-005. Assistance Listing: 93.262. Funding Instrument: CA. Category: HL. Award Amount: $150K – $975K per award.
PCORI launched five simultaneous research funding tracks with $120 million in direct costs for pragmatic studies. Why this non-NIH funder deserves a place in your grant strategy.
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