Reza Eghbal

Founder of @myhealthchain

• Wearables IoB Analytics
• Gamified Healthcare Pathways
• Bias-Resistant Systems
• Scalable Health 4.0 Blockchains

[Reza Eghbal @mreghbal]

#Decentralization is all that everyone will need.

[Reza Eghbal @mreghbal]

In health tech, speed without boundaries can create the wrong confidence.

I prefer disciplined speed: fast where risk is low, careful where trust is involved.

#FounderJourney #StartupLife

[Reza Eghbal @mreghbal]

A prettier dashboard is not the goal. Context is: timing, quality, change and meaning.

#FounderJourney #StartupLife

[Reza Eghbal @mreghbal]

@myhealthchain started with a simple question:

Why do we generate so much health information yet understand so little of our own long-term picture?

#FounderJourney #StartupLife

[Reza Eghbal @mreghbal]

Dreams grow. Ideas grow. And now, @myhealthchain has grown into 680,000 lines of code being tested to work together as one.

[Reza Eghbal @mreghbal]

Precision medicine outside legacy insurance models fails if data remains trapped in private clinics. True patient autonomy requires portable, immutable health records owned by the individual, not the provider. #HealthData

[Reza Eghbal @mreghbal]

Hospital readiness isn't just about training; it's about architectural maturity. You cannot build agile digital health on rigid, siloed legacy systems. Transformation requires a flexible, interoperable data foundation to support scalability. #HealthIT

[Reza Eghbal @mreghbal]

AI project failure isn't usually about "optimism bias"; it's about technical debt. Treating data governance and compliance as late-stage hurdles guarantees chaos. We must architect these constraints into the stack before the first model is trained. #AIStrategy

[Reza Eghbal @mreghbal]

AI scribes are band-aids on a broken workflow. They optimize the episodic note, which is a legacy format. To fix burnout, we must automate data collection via wearables, making documentation a background process, not a clerical burden. #HealthcareAI

[Reza Eghbal @mreghbal]

"Being more human" won't solve AI risks. We need non-technical experts to define the ethical constraints that engineers must code into the system. Governance isn't a soft skill; it's the blueprint for safe, bias-resistant architecture. #AIEthics

[Reza Eghbal @mreghbal]

The gap between AI pilots and practice is an interoperability failure. We cannot scale clinical AI by manually integrating with every hospital's unique legacy stack. Success demands a unified architecture that abstracts models from local infrastructure. #HealthInteroperability

[Reza Eghbal @mreghbal]

Small, offline AI is a pragmatic entry point, but local utility must not come at the cost of isolation. We must architect these tools with eventual interoperability in mind to ensure they build a connected ecosystem. #Health40

[Reza Eghbal @mreghbal]

The gender health gap is fundamentally a data failure. Advocacy raises awareness, but only inclusive, interoperable data pipelines solve the problem. We must engineer equity into our research architectures to recover the missing 50% of health intelligence. #HealthEquity

[Reza Eghbal @mreghbal]

Virtual Human Twins are a leap for precision medicine, but a twin is only as good as its data. Built on biased datasets, they merely automate health disparities. True precision requires inclusive, representative data pipelines. #HealthEquity

[Reza Eghbal @mreghbal]

"92% AI adoption" is a vanity metric if it stays in the back office. The gap between marketing AI and clinical AI is an infrastructure failure. We must build interoperable data pipelines to bring intelligence to the bedside. #HealthAI

[Reza Eghbal @mreghbal]

Dual-use AI risks cannot be solved by policy alone; they demand engineering solutions. We must build immutable audit trails into the model architecture itself. This guarantees that every interaction is verifiable, ensuring safety without stifling innovation. #AISafety

[Reza Eghbal @mreghbal]

The digital health divide isn't just about access; it's a failure of design. We cannot expect patients to become tech-literate. We must build intuitive, behavior-driven systems that adapt to the user's needs automatically. #DigitalHealth

[Reza Eghbal @mreghbal]

Reinventing trials requires more than AI simulations; it demands real-world behavioral data integration. Especially in psychiatry, we must move from subjective reporting to continuous IoB streams. This is the only way to objectively measure adherence efficacy. #PharmaAI

[Reza Eghbal @mreghbal]

Healthcare ML struggles with behavior because clinical data is sparse. To model social determinants reliably, we need continuous IoB data streams. This captures the daily context missing from static biomarkers. #HealthData

[Reza Eghbal @mreghbal]

Breathwork is powerful, but "feeling better" isn't a metric. To truly optimize neurophysiology, we must validate these practices with real-time biofeedback via wearables. Measuring HRV response turns subjective relief into actionable health data. #IoB

[Reza Eghbal @mreghbal]

Open-sourcing high-performance CNNs for neuroimaging is vital for research. However, reproducibility isn't just about code; it's about data diversity. We must stress-test these models across varied demographics to ensure equitable clinical accuracy. #MedicalAI