· Public charity
The Education and Research Foundation for Nuclear Medicine & Molecular Imaging
Our mission is to advance healthcare by provision of grants and awards in nuclear medicine and molecular imaging.
What you funded, over time
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2017–2025.
Where the money goes
Your grants by size, and where they go.
The 4 grants below total $342,921 — the rows itemised in this filing. The $414,171 headline is the total grant expense reported on the return, so the remaining $71,250 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.
By grant size · FY2025
- $10k–50k1 grant · $48k
- $50k–250k3 grants · $295k
| Recipient | Amount |
|---|---|
| SOC OF NUCLEAR MEDICINE AND MOLECULAR IMAGINING | $190,583 |
| AMERICAN COLLEGE OF NUCLEAR MEDICINE | $54,399 |
| NEUROENDOCRINE TUMOR RESEARCH FOUNDATION | $50,000 |
| SOCIETY OF RADIOPHARMACEUTICAL SCIENCES | $47,939 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Dollar for dollar, your grants (FY17–25) land where the poverty rate runs at 8%, against an area that typically sits at 8%. 21% of your dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
Which US states your grants reach
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.
Who you back again
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +66% since the first grant, against 0% for the ones you funded once.
5 repeat relationships — 4 still active in FY2025, 1 since wound down.
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2025, 100% of grant dollars renewed an existing relationship; $0 went to new ones.
Where new relationships form · theme of each grantee’s first grant
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). The earliest year is left-censored: relationships that predate the data read as “new.” Theme is the grantee’s IRS cause.
Backed again, and grew
- SOSOCIETY OF NUCLEAR MEDICINE AND MOLECULAR IMAGING9× · 2017–2025 · $2.1M · revenue +66%
- NTNEUROENDOCRINE TUMOR RESEARCH FOUNDATION4× · 2019–2025 · $200k · revenue +66%
- ACAMERICAN COLLEGE OF NUCLEAR MEDICINE8× · 2017–2025 · $132k · revenue +36% · 38% of their budget
Funded once
- MGMASSACHUSETTS GENERAL HOSPITALone grant, 2023 · $100k
- IGIndividual grant recipientone grant, 2022 · $50k
- MUMCMASTER UNIVERSITYone grant, 2023 · $50k
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
7 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 7 of the 16 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
- Who funds SOCIETY OF NUCLEAR MEDICINE AND MOLECULAR IMAGING ↗
- Who funds NEUROENDOCRINE TUMOR RESEARCH FOUNDATION ↗
- Who funds AMERICAN COLLEGE OF NUCLEAR MEDICINE ↗
- Who funds SOCIETY OF RADIOPHARMACEUTICAL SCIENCES ↗
- Who funds McMaster University ↗
- Who funds JOHNS HOPKINS UNIVERSITY ↗
- Who funds The Goldenberg Family Foundation ↗
Government reliance of your grantees
Every dot is one organization The Education and Research Foundation for Nuclear Medicine & Molecular Imaging funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
- Johns Hopkins University — 12% of income from government
Government income is each org’s traced federal awards (USASpending — grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that your grant caused the public funding. Coverage is precision-first — a floor, not a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12–24 months.