nCoup, Inc.

Building smarter clinical research operations with nCartes for automated trial data capture and nCoup IDS for streamlined investigational drug management.

[nCoup, Inc. @nCoupInc]

84.5–100%. 👀

That's the reduction in clinical trial data queries reported in this 2026 SCT poster on the SWOG-nCartes implementation across seven trial sites.

Better clinical trial data starts at the source.

🔗 https://t.co/0tHuVeMrlo

[nCoup, Inc. @nCoupInc]

Chicago, here we come! 🚀

nCartes is heading to #SWOG2026, Oct. 8–10. We’re excited to connect with the SWOG community and share how nCartes massively improves data quality.

Hope to see you there. 👋 #ClinicalTrials

https://t.co/em8ZmgexEA

[nCoup, Inc. @nCoupInc]

CHAPTER 3, CONT'D: You don't have incompatible data languages. You have one partner who needs proof and one partner who's out of hours in the day to provide it by hand. Automate the acts of service. Watch the "data language problem" disappear.

#AuntieAudit

[nCoup, Inc. @nCoupInc]

FROM THE BESTSELLER "THE 5 DATA LANGUAGES" by Auntie Audit: Chapter 3. Your Sponsor's data language is Acts of Verification. Your Site's data language is Quality Time — specifically, not spending it re-entering the same information twice.

#AuntieAudit

[nCoup, Inc. @nCoupInc]

For clinical research, the human + AI loop could be especially meaningful.

The future may not be “AI doing science,” but scientists using AI to spend less time searching and processing—and more time asking better questions and validating them.

#AI #ClinicalResearch

[nCoup, Inc. @nCoupInc]

AI-assisted scientific discovery is getting interesting.

Anthropic says Claude identified a previously uncharacterized biological system and helped researchers develop testable hypotheses.

But the bigger story may be the workflow.

🔗 https://t.co/KKzoyTygOH

[Anthropic @AnthropicAI]

Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR.

We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.

Read more: https://t.co/RuEosScSMb

[nCoup, Inc. @nCoupInc]

That points toward a powerful model for research:

AI searches.
AI surfaces.
AI hypothesizes.
Scientists investigate.
Experiments decide.

The opportunity isn't necessarily to replace researchers—but to dramatically expand what researchers can investigate.

[nCoup, Inc. @nCoupInc]

Why do patients leave clinical trials?

It's easy to assume something went wrong medically.

But what if the problem is the trial itself?

Patient burden is rising. Data collection is exploding.

Maybe better trials start with asking less. 🤔

▶️ Watch the 30-second explainer.

[nCoup, Inc. @nCoupInc]

DEAR NOT GASLIGHTING, You're not losing your mind. You're measuring in mg/dL and your sponor's hearing mg/L, and nobody introduced you two before the conversation started. Same story, different units. Agree on a language, and the "different number" disappears. — Auntie Audit

[nCoup, Inc. @nCoupInc]

DEAR AUNTIE AUDIT, I tell my sponsor something. My sponsor hears something else. Not different words — the SAME words, somehow meaning a different number by the time they land. I'm starting to think I'm losing my mind. — Not Gaslighting Myself, I Hope

#AuntieAudit

[nCoup, Inc. @nCoupInc]

We’re seeing this firsthand with our own research pharmacy customers, who are beginning to challenge the traditional “locked rate for the life of the study” model in favor of annual adjustments.

How are other research teams approaching this?

#ClinicalTrials #ResearchPharmacy

[nCoup, Inc. @nCoupInc]

A thought prompted by this article: if we’re asking research sites to do more with flat or constrained budgets, should we also rethink how clinical-trial services are priced?

#ClinicalTrials #ResearchPharmacy

https://t.co/NAOMn2CmjW

[The Cancer Letter @TheCancerLetter]

"Adding people feels good at first, until we realize it’s shuffling tasks and dividing workloads rather than delivering real gains in scalability and efficiency for the program," writes Yunu's Jeff Sorenson.
https://t.co/er49Q84LV2

[nCoup, Inc. @nCoupInc]

Site workflows, data silos, and patient compliance are all connected.

For those in clinical research, this upcoming webinar looks like an interesting conversation:

Breaking Through Silos: Streamlining Site Workflows to Increase Patient Compliance

🔗 https://t.co/4GeqhVt5NI

[nCoup, Inc. @nCoupInc]

DEAR TIRED, That's not you being difficult. That's what happens when everyone brings their own definition of "standard" to the table. The goalposts aren't moving — there were never any goalposts to begin with. Pick nCartes and have it manage standards everywhere. — Auntie Audit

[nCoup, Inc. @nCoupInc]

DEAR AUNTIE AUDIT, What's "normal" at brunch with my sponsor is apparently NOT normal at dinner with my site. I can't keep track of whose rulebook we're using this week, and I'm exhausted. — Tired Of Moving Goalposts

#AuntieAudit

[nCoup, Inc. @nCoupInc]

Is a zero-error rate achievable for EHR-derived (FHIR®-extracted) data? 👀

A paper presented at the 34th Medical Informatics Europe Conference suggests that it is possible.

An interesting result for anyone working on clinical data quality.

🔗 https://t.co/wSYiWaa3hI

[nCoup, Inc. @nCoupInc]

Training matters. But what if the way AI communicates matters, too?

As this study suggests, the way AI generated information is presented impacts credibility judgments. 🔗 https://t.co/cufnEWyIBE

Could presentation modality also impact automation bias?

https://t.co/dWo0a6lLKY

[Mayo Clinic Platform @MayoPlatform]

Clinical AI takes more than new tools—it takes knowing when to question them. John Halamka and Paul Cerrato explore how hands-on training and metacognition help clinicians spot automation bias.

https://t.co/AT6cjcpoRU

#ClinicalAI #MayoClinicPlatform

[nCoup, Inc. @nCoupInc]

DEAR CONFUSED, Honey, you're not incompatible — you're using two different formats for the same thing. This isn't a sponsor problem or a site problem. It's a "nobody agreed on the format before the first date" problem. Pick nCartes to manage your dates. — Auntie Audit

[nCoup, Inc. @nCoupInc]

DEAR AUNTIE AUDIT, We've been together for years, but we can't even agree on our own dates. I say 03/04. My site says 04/03. At this point I don't know if we've been together eight months or eight years. — Confused About Our Dates