Only one outlet has reported this event so far — you're reading it below, credited to its source. AIPROPX is tracking the web for more coverage; as additional outlets confirm it, this becomes a full multi-source story automatically.
By AIPROPX Editorial Desk · Published · Updated
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China's lab monkey prices have doubled in a year, with a state lab paying 178,000 yuan ($26,294) each for cynomolgus macaques in June. Biotech executives say securing research primates now feels like negotiating with Nvidia for chips. The monkey shortage is delaying preclinical toxicology studies by four to ten months, threatening China's speed advantage in drug development. Zheshang Securities projects an annual gap of 15,000 to 20,000 monkeys through 2028, with Cambodia imports expected to help.
Indexed and credited by AIPROPX. Originating outlet: The Times of India. Open at source →
An original, deterministic readout — composed only from the computed coverage facts on this page. No interpretation, no rating; figures only.
AIPROPX has consolidated 1 report from 1 outlet into a single canonical entry on “China's pharma has a 'monkey problem' as tough as 'negotiating with Nvidia.” Every covered outlet is based in Other.
The only timestamped report came from The Times of India (Aug 7, 2026, 05:03 UTC).
Comparing the wording across sources, the phrase recurring most across the coverage is “negotiating with nvidia”.
2 statements are carried by only one outlet within this set and are not echoed by the others.
Every figure above is a direct count of real published articles. AIPROPX indexes and compares the original reporting — it never rewrites, rates, or editorializes — and each publisher’s full article is always one click away.
Generated by AIPROPX from the source counts above. AIPROPX indexes and resolves coverage; the original publishers are credited and linked at origin in every report.
Coverage from 1 independent outlet across 1 region — each view opens on its own page.
AIPROPX — “China's pharma has a 'monkey problem' as tough as 'negotiating with Nvidia” · https://www.aipropx.com/story/66ab123f591edb11911ae0774c1ce01b
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