This week on LifeeCode, Deveendra Murmu explains why the most important part of a home health device may be the service behind it. We examine a CMS proposal that could change Medicare payment for remote patient monitoring, then look at medical-AI evidence, consumer wearable integration, family health data, and WHO/Europe’s call for governance readiness.

This episode is educational and not medical advice. Discuss personal health decisions with a qualified clinician.

LifeeCode is evidence-based, privacy-first health-technology analysis.

This week on LifeeCode, Deveendra Murmu examines a newly FDA-authorized wearable that continuously tracks both glucose and ketones for people living with diabetes. We cover what the second signal can add, why trends need clinical context, and what continuous health data means for privacy.

Also this week: FDA-supported home-recovery technology, the methods behind wearable-data research, a safety wearable for aging adults, AI for glucose data, and connected diabetes care in Australia and Singapore.

This episode is educational and not medical advice. Discuss personal health decisions with a qualified clinician.

This week on LifeeCode, Deveendra Murmu explains what a wearable score needs before it can become meaningful clinical evidence. We cover the FDA’s new paper on digitally derived measures, emerging rules for generative-AI medical devices, a wearable platform for Parkinson’s monitoring, AI-assisted biomarker discovery, patient trust in health AI, and India’s expanding national health-data gateway.

The episode is educational and not medical advice. Discuss personal health decisions with a qualified clinician.

Google has announced a wearable feature that tracks insulin-resistance trends from multi-week data. In this episode, Deveendra Murmu explains why a trend is not a diagnosis, what to do when a wearable insight concerns you, and how to think about the privacy cost of turning sleep, motion, pulse, and activity into a metabolic-health signal.

We also cover peer-reviewed smart-ring sensing research, AI inside patient portals, wellness-alert guardrails, diabetes-platform security, and France’s national patient health-record system.

LifeeCode is evidence-based, privacy-first health technology analysis. This episode is educational and not medical advice. Read the full brief at https://devmmurmu.com.

This week on LifeeCode, Deveendra Murmu breaks down a new GAO report on what needs to change before wearable data can reliably support clinical decisions. We also cover hospital-to-home monitoring, a privacy-preserving diabetes telemedicine project, the FDA’s push for more continuous trial evidence, a wearable-activated therapy for urgency urinary incontinence, and a Global Watch signal on how older adults learn to trust wearable health technology.

This episode is educational and not medical advice. Discuss personal health decisions with a qualified clinician.

LifeeCode is evidence-based, privacy-first health technology analysis.

This week on LifeeCode, Deveendra Murmu breaks down why similar-looking wearables can face very different regulatory treatment depending on whether they are marketed as wellness tools or clinical tools. We also cover a new study linking wearable adoption to lower healthcare trust, fresh warnings about the uneven validity of consumer wearables in research, the FDA’s first TEMPO digital-health pilot participant, Samsung’s connected-care vision for wearable AI, and a Global Watch signal from Europe as the AI Act’s August 2 milestone turns health-AI trust into an operational issue.

This week on LifeeCode, Deveendra Murmu breaks down a new Parkinson’s wearable study that suggests continuous sensor data may detect disease progression earlier than clinic visits alone. We also cover the FDA’s push to use more digital health tools in drug trials, a microneedle wearable that may flag kidney and liver stress early, new evidence linking everyday wearable data to insulin-resistance detection, and a meta-analysis on wearables for mental-health support.

LifeeCode is evidence-based, privacy-first health technology analysis.

Read the full written brief at devmmurmu.com.

This week's LifeeCode brief examines Meta's new health-capable AI rollout and why consumer AI asking for sensitive medical information is fundamentally a privacy story. The episode also covers FDA-cleared maternal-fetal wearables, wearable-ring vascular-age estimation, and the latest push toward patient-controlled health-data interoperability.

Health data privacy just changed — and most people haven't noticed yet.

This week on LifeeCode, Deveendra Murmu breaks down the five health tech stories that matter most right now:

• Google and the U.S. government have partnered to put your official medical records inside the Fitbit app — HIPAA covers the clinical data, but your wearable data in the same app is not HIPAA-protected.

• Samsung Galaxy Watch launches wrist blood pressure monitoring in the U.S. — without FDA clearance for diagnosis, and while the FDA is simultaneously telling WHOOP its nearly identical feature is an unauthorized medical device.

• WHOOP raises $575M at a $10.1B valuation — while fighting an FDA warning letter over its Blood Pressure Insights feature.

• The FDA has redrawn the line between "wellness wearable" and "medical device" — if your device claims "medical-grade," it now has a legal obligation to back that up.

• FemTech's privacy crisis is accelerating — period and fertility apps are sharing intimate health data with advertisers and, increasingly, insurers.

The devices are getting better. The privacy frameworks are not keeping pace. That gap is what LifeeCode exists to close.

Read the full brief: devmmurmu.com

Follow on X: @LifeeCode

Evidence-Based · Privacy-First · Health Technology and Wearables

Did you know your new AI chatbot might be reading your medical records? Between January and March of 2026, five major tech companies launched health-specific AI products designed to connect directly to your most sensitive data—completely outside of HIPAA protections.

In this week's LifeeCode brief, we unpack the massive new rush to centralise medical data and what it means for your privacy.

Key takeaways:

•Why consumer AI health agents are becoming the largest aggregators of personal health data in history.

•The hidden risks of "product analytics" and secondary data usage.

•What you need to do right now to secure your wearables, health apps, and patient portals.

Plus, we cover four other major health tech updates, including a new on-device AI wearable that protects your privacy, and the first FDA-cleared AI algorithm to detect heart disease from routine ECGs.

🌐 Read the full brief and sources: devmmurmu.com

Follow on X: @DeveendraMurmu