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Find similar grantsPortable Single Cell Cytology and Predictive Analysis Platform for the Early Detection of Epithelial Cancers is sponsored by National Science Foundation (NSF). Supports the development of a point-of-care diagnostic platform for early detection of epithelial cancers.
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STTR Phase I: Portable single cell cytology and predictive analysis platform for the early detection of epithelial cancers - National Science Foundation STTR Phase I: Portable single cell cytology and predictive analysis platform for the early detection of epithelial cancers Christodoulides, Nicolaos (PI) The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project will address the need for an accessible method to identify early-stage epithelial cancers, with high accuracy, earlier and at lower cost than is currently available.
In 2020, the total cost of cancer care was nearly $210 billion. Due to the nature of current cancer diagnostics, most cancers are diagnosed and treated during late-stages. This results in a large economic burden to patients, families, healthcare providers, and facilities.
To advance the health and welfare of the public and reduce the nations healthcare burden, there is a need for cancer screening, diagnostic, and monitoring devices that are non-invasive, cost-effective, easy-to-use, and accurate.
The proposed platform for the early detection of multiple types of epithelial cancers 1) addresses the lack of effective non-invasive portable screening devices; 2) provides faster, more discriminatory assessments in near real-time; 3) yields the most precise and accurate results to identify cancers earlier, when interventions are more impactful, less expensive, less invasive, and more likely to improve patient outcomes.
This Small Business Technology Transfer (STTR) Phase I project seeks to establish the feasibility of developing the first portable, programmable, single cell cytology platform for early detection of multiple types of epithelial cancers, suitable for use at the point-of-care.
The proposed technology will uniquely combine microfluidics and artificial intelligence (AI) to act as a sensor and provide predictive analysis, allowing for the accurate classification of potentially cancerous tissue. The platform will support near real-time, multiparameter, single-cell cytology measurements and will provide a method for automated analysis of a plurality of key metrics.
Proof of concept has been established for the application area of oral cavity cancers, with the approach demonstrating superior performance metrics compared to other diagnostics (tissue reflectance, tissue auto fluorescence, salivary testing, and cytology testing). It is the only adjunct that can distinguish between mild, moderate, and severe dysplasia.
The key objectives for this project are to develop methodologies to link different clinical specimen types to the microfluidics environment, and a biomarker discovery process to identify biomarkers for different applications that are amenable to the platform. The successful completion of this project will enable the platform to recognize and assess various levels of dysplasia across multiple epithelial cancer types.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. NSF Program Director: Henry Ahn Status Closed Effective start/end date 02/15/23 → 01/31/25 Lead and Sub-Awardee Organization(s) STTR Phase I: $275,000. 00 Congressional District at Award District n.
04 of North Carolina Current Congressional District District n. 04 of North Carolina Core Based Statistical Area (CBSA) https://www. nsf.
gov/awardsearch/showAward? AWD_ID=2233372 Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants.
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According to the current listing, eligibility includes: Small businesses specializing in biomedical technology development. Confirm the full requirements in the official notice before applying.
The current listing shows $1,244,392. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Portable Single Cell Cytology and Predictive Analysis Platform for the Early Detection of Epithelial Cancers is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Improving Oversight of Federal GrantmakingVA is required to ensure compliance with all applicable statutes, regulations, and Executive Orders when evaluating and awarding grants. In accordance with Executive Order 14332, Improving Oversight of Federal Grantmaking, aside from the evaluation criteria published in this announcement, VA has discretion to remove from consideration any applicant VA deems does not clearly advance the President's or VA's priorities. VA will not fund activities that use racial preference for eligibility criteria or promote gender ideology. VA will not fund activities that promote or facilitate violations of immigration laws or are sources of waste, fraud, or abuse. VA will not tolerate activity or conduct by grant recipients that constitute acts of moral turpitude, are scandalous, or bring the recipient, the project funded by this grant, or VA into public disrepute, contempt, or ridicule. These grants support the President's priority to increase the excellence of and options for care, benefits, and services for veterans, as demonstrated in Executive Order 14332. Program is subject to Public Law 117-58 Build America, Buy America Act. Recipients of an award of Federal financial assistance from a program for infrastructure are hereby notified that none of the funds provided under this award may be used for a project for infrastructure unless:(1) all iron and steel used in the project are produced in the United States--this means all manufacturing processes, from the initial melting stage through the application of coatings, occurred in the United States; (2) all manufactured products used in the project are produced in the United States—this means the manufactured product was manufactured in the United States; and the cost of the components of the manufactured product that are mined, produced, or manufactured in the United States is greater than 55 percent of the total cost of all components of the manufactured product, unless another standard for determining the minimum amount of domestic content of the manufactured product has been established under applicable law or regulation; and (3) all construction materials44 are manufactured in the United States—this means that all manufacturing processes for the construction material occurred in the United States. The Buy America preference only applies to articles, materials, and supplies that are consumed in, incorporated into, or affixed to an infrastructure project. As such, it does not apply to tools, equipment, and supplies, such as temporary scaffolding, brought to the construction site and removed at or before the completion of the infrastructure project. Nor does a Buy America preference apply to equipment and furnishings, such as movable chairs, desks, and portable computer equipment, that are used at or within the finished infrastructure project, but are not an integral part of the structure or permanently affixed to the infrastructure project. Grants are available to State and Tribal Governments for construction or renovations of State/Tribal owned and operated Veterans Extended Care Facilities. The Department of Veterans Affairs participation may not exceed 65% of the total project costs. Review governing regulation before submitting an application (38 CFR Part 59). If the state is submitting a new grant application, it must submit a complete initial application (Section A of the project checklist) on Grants.gov by April 15th in order to be eligible for listing on the Priority List for the next fiscal year. Once the complete initial application is retrieved from Grants.gov by Program Staff, the grant applicant will receive 1) an automated notification from Grants.gov confirming receipt by the Program and 2) an email from Program Staff indicating the application's FAI number and corresponding project page in MAX.gov for submission of subsequent items. Note that Grants.gov is used only once to submit a new grant application. Applicants must submit complete initial applications on Grants.gov in order to be considered. Please contact Program Staff prior to submission if you need assistance understanding the requirements pertaining to an initial grant application, or if you need general assistance. Renovation or Life Safety initial grant applications require items A.1.-A.7. in Section A of the project checklist. Grant applicants, do not submit items A.8.-.A.13 for Renovation of Life Safety grants. Adult Day Health Care, New Home Construction or Bed Replacement initial grant applications require all items in Section A (A.1.-A.13) of the project checklist. Required for ALL applications A.1.A Project Scope A.1.B Form SF424 A.1.C Form SF424D A.1.D Form SF424C A.1.E Budget Justification Worksheet (must align with SF424C budget form) A.2. Governor's designation of authorized state official and contact person A.3. Needs assessment (as outlined in VA Form 10-0388-1) A.4. State Clearinghouse Comments (E.O. 12372) single point of contact and compliance statement A.5. Schematics A.6. Signed Initial Application Certification VA Form 10-0388-1 A.7. Safety citation/letter (Only Life Safety projects need to submit this). Required for Adult Day Health Care, Bed Replacement or New Construction - Items A1-A6 and the below items A.8. Space program analysis (NHC use Form 10-0388-3, ADHC use Form 10-0388-4) A.9. Five-year capital plan for state's entire state home program A.10. Financial plan for state facility's first three years of operation A.11. Documentation that there is a reasonable basis to conclude that the facility when complete will be fully occupied A.12. Authorized state official's certification of the total number of state-operated nursing home and domiciliary beds and occupancy rate A.13. Authorized state official's certification that the number of state home beds does not exceed the requirement in 38 CFR 59.40 or justification for number of state home beds exceeding 38 CFR 59.40 based on travel distance Funding Opportunity Number: VA-GRANTS-112508-002. Assistance Listing: 64.005. Funding Instrument: G. Category: HL. Award Amount: $260K – $275M per award.
The AMD University Program's AI and HPC Cluster, operated as part of what AMD has also branded the AMD HPC Fund, gives academic researchers free allocations on compute nodes built from dual AMD EPYC processors paired with AMD Instinct accelerators. Allocations are node-hour based, awarded quarterly against submitted proposals, and successful teams receive cluster access for up to one year. The programme is explicitly aimed at innovative, impactful, open-source AI and HPC research and education, and that open-source expectation is a real selection criterion rather than boilerplate - proposals that commit to releasing code, models or teaching materials fare better than closed ones. Eligible applicants are researchers at accredited academic institutions, non-profit research organisations and government laboratories, and AMD accepts proposals from universities and research institutions globally. For AI groups, the strategic value is twofold. First, it is one of the few sources of substantial GPU time that does not require a national-facility allocation process or a cloud budget. Second, it is ROCm-based rather than CUDA-based, so a group that ports its stack gains portability onto AMD-accelerated national systems - including several of the largest DOE and European machines - which is increasingly where the largest public allocations live. Applications are made through the AMD University Program site; proposal cycles run quarterly with no single annual deadline.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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