Breakthroughs in flexible micro-LEDs show how hardware advances unlock software innovation. For us, it’s a green light to build more precise, user-centered VR experiences. 👇 techxplore.com/news/2025-09-v…

Your app shouldn’t need a training manual. Design it right the first time.

The fastest companies run on the cloud. Period.

Sarcopenia weakens independence with age. A wearable that monitors it in real time is exactly how digital health should serve longevity.

What’s the biggest blocker for digital health adoption: regulations, budgets, or patient trust?

Is AI in your product a value driver, or just a sales slide?

Technical debt is like interest, the longer you ignore it, the higher the price.

Even advanced wearables have context limits. Glucose sensors built for diabetes may mislead healthy users reminding us that data without clinical framing can distort insight.

If you had to pick one market today, US, EU, or MENA, where would you launch?

Would you trust an AI-driven diagnosis as much as a doctor’s?

What do you think?

A “quick feature” can kill your roadmap for months.

Which do you trust more: AI cost predictions or your CFO’s spreadsheet?

What costs more in the long run: building too slow, or building too fast?

Understanding the phases and duration of a heart attack is critical for timely intervention. As digital health developers, we see how real-time data and connected monitoring can shorten that critical response window.

Burn rate isn’t the problem. Lack of focus is.

EHR systems don’t fail because of tech, they fail because of poor workflows.

What’s harder: building your SaaS MVP or keeping it alive once you have users?

Your cloud bill shouldn’t grow faster than your revenue.

Fascinating to see how something as classic as a stethoscope is evolving into a data-driven interface between doctor and patient.