Welshare Health Announcements - Telegram Channel

Last week we proudly announced more details about our core product, the HPMP (Health Profile Matching Protocol), on our brand new main website: https://welshare.health/.

Also: digging deeper into MCP authentication, our take on x402 and the use case for social interpolation

👀🧠👉 https://x.com/welsharehealth/status/1983966157506753012

Imagine a future where AI agents are accelerating medical breakthroughs by interacting with patients and discovering hidden patterns in a safe and private environment. 🤖

It’s time that this future becomes reality. 🔥🔥🔥

Introducing: HPMP – Health Profile Matching Protocol 🔬

X: https://x.com/welsharehealth/status/1976301201990840490

Live Demo: Matching users anonymously using Welshare HPMP’s MCP interface. 🔥🔥🔥

OpenAI just dropped Agent Builder — a clear signal that the agentic age has officially begun. 🤖

Here’s where things get real: those agents still need a bridge to the world — to verified data, real people, and feedback loops grounded in privacy.

That bridge is Welshare’s Health Profile Matching Protocol (HPMP).

In this demo, a @DiabetesDAO research agent:

- defines its hypothesis, inclusion criteria, and data requests
- activates a matching workflow through HPMP’s MCP interface
- collaborates with its agent crew to access HPMP’s secure tools
- dynamically selects data sources (like encrypted questionnaires) that might contain eligible users
- builds adaptive queries to find matches without revealing identity or raw data
- sends privacy-safe notifications to matched users
- allows each user to decide if they want to continue the conversation or contribute more observations

Welshare’s Health Profile Matching Protocol (HPMP) is the backbone of a new research economy — private by design, powered by intelligence. 🔬

X: https://x.com/welsharehealth/status/1975586886178443771

We’re proud to see DermaDAO showcasing their work at DeSci Singapore and even prouder that they’re using Welshare’s technology for privacy-preserving user onboarding. 🤝

With Welshare profiles, communities like DermaDAO are able to bring participants into decentralized science without compromising control over their data.

Imagine a future where Welshare Profiles, powered by the Health Profile Matching Protocol (HPMP), can directly communicate with AI research agents, matching the right people to new hypotheses, enabling privacy-preserving studies, and turning discoveries into real health solutions. 🤖

Watch the full stream here: https://x.com/BioProtocol/status/1972851900614938871

X: https://x.com/welsharehealth/status/1973056953879330946

"The main goal is to build the HPMP, the Health Profile Matching Protocol that lets AI agents and human researchers discover users with certain conditions and request more data." 🤖

Our Co-Founder and CTO, @stadolf, shared Welshare’s vision of HPMP in the recent Townhall/AMA.

X: https://x.com/welsharehealth/status/1971964953818206478

Data under your skin and a hundred new use cases waiting to break out

We’re right in the middle of Korea Blockchain Week and while team Welshare (Germany based) is saving its miles to observe from a safe distance, our tech is part of Desci demos in Seoul. We’ve spent the whole last week to enable DermaDAO with their onboarding form for innovative facial skincare products. Their onboarding form looks a bit unspectacular at first: https://join.dermadao.xyz/, but wait until you learn what happens under the hood!

Full article: https://x.com/welsharehealth/status/1971202007982608617

Looking forward to joining the Nillion Ecosystem Space today with ReflexDAO & 0xCapX. We'll share what we've been building behind the scenes! 👀 📅 Sept 24 | 4 PM CET Set a reminder 👇 🔗 https://x.com/i/broadcasts/1OdKrOnqkNkGX X: https://x.com/welshare…

Looking forward to joining the Nillion Ecosystem Space today with ReflexDAO & 0xCapX.

We'll share what we've been building behind the scenes! 👀

📅 Sept 24 | 4 PM CET

Set a reminder 👇

🔗 https://x.com/i/broadcasts/1OdKrOnqkNkGX

X: https://x.com/welsharehealth/status/1970784478055584107

Exciting News!!! 🔥🔥🔥

We're super proud to support DermaDAO with the technical infrastructure for their skincare questionnaire to create a privacy-first skin health dataset. Best of luck at Korean Blockchain Week 👀

Start here: https://join.dermadao.xyz/

X: https://x.com/welsharehealth/status/1970470751313776700?s=46

⏰ Reminder: Our Welshare Town Hall Space is happening today at 5 PM CEST

Join us for updates + open Q&A 👇

https://x.com/i/spaces/1vAxRQljpkzJl

X: https://x.com/welsharehealth/status/1970037423544619016

Excited to be featured in Nillion’s Spotlight Week. 👀

Most medical breakthroughs stall because researchers lack safe, consentful access to real-world patient data.

Welshare changes that.

🧵👇

X: https://x.com/Nillioneco/status/1969824021022941689

Privacy scales alongside scientific progress. 🔐

X: https://x.com/welsharehealth/status/1968715994571948418

Agentic science needs real health data without the privacy trade‑off 🤖

Artificial intelligence is transforming research. Agents can now read millions of papers, find hidden correlations, and generate new hypotheses. But there’s a catch: AI needs data, and health data is among the most sensitive information there is.

Welshare bridges this gap with the Health Profile Matching Protocol (HPMP). By enabling users to export validated, FHIR‑standard health data into decentralized profiles, we create a safe channel where AI agents can match with real patients without exposing raw personal information.

🔹 Blind compute on @nillionnetwork: agents operate on encrypted data
🔹 Standardization (FHIR/LOINC): interoperable across apps, clinics, and research environments
🔹 User control: consent is granular and revocable

The Result: faster validation, stronger science, and respect for the dignity and privacy of every participant. 💡

X: https://x.com/welsharehealth/status/1967630172095479943

The cornerstone problem Welshare is solving: How can we make health data accessible to AI while keeping it private and its owners in the loop? One relevant technology that helps answering this are TEEs, so let us explain 🧵👇 What are Trusted Execution Environments…

The cornerstone problem Welshare is solving:
How can we make health data accessible to AI while keeping it private and its owners in the loop? One relevant technology that helps answering this are TEEs, so let us explain 🧵👇

What are Trusted Execution Environments (TEEs)? 🤖

Trusted Execution Environments are sealed rooms inside special processors. Code and data enter, work happens privately, and even an OS admin cannot peek inside. TEEs protect data in use, not just data at rest or in transit.

Full Thread: https://x.com/welsharehealth/status/1966101935607398850

🏢 Welshare Town Hall Space

Join us for a 30-min update + open Q&A — your chance to ask, share & connect.

📅 Monday, Sept 22
🕔 5 PM CEST

Set your reminder & bring your questions 👇

🔗 https://x.com/i/spaces/1vAxRQljpkzJl

X: https://x.com/welsharehealth/status/1965762185789136977

New docs are up, Findrisc results are in, and you can try it out

Welshare’s main focus is getting real world user data into the hands of silicon scientists (or agentic researchers, which term you like best) without disclosing unnecessary information about each contributor. We very much can envision cases where many health agents that are currently under development may profit largely from a user base; particularly if incentives are flowing.

Full article: https://x.com/welsharehealth/status/1965384780171620682

Which privacy model gives you most confidence? 🔐

1️⃣ Encrypted storage
2️⃣ TEEs / MPC
3️⃣ ZK proofs
4️⃣ All of the above

X: https://x.com/welsharehealth/status/1963942160182428103

LLMs can spot patterns. Patients validate them.
But most research still relies on static, siloed datasets: great for correlations, weak on real‑world proof.

Welshare’s Health Profile Matching Protocol (HPMP) lets AI research agents safely involve people without exposing raw data.

🔹 Query encrypted health profiles (privacy‑preserving aggregation)
🔹 Match consented users who actually fit the hypothesis
🔹 Keep conversational memory for longitudinal follow‑ups
🔹 Record provenance to shared graphs when signals replicate

From pattern → proof, n=1 to population, privacy‑first.

Builders & diabetes apps: integrate via MCP. Patients stay in control; insights arrive sooner.

X: https://x.com/welsharehealth/status/1963660862956179755

Welshare is the agent gateway to patient health profiles. 🤖

X: https://x.com/welsharehealth/status/1963245915499540915