Diabetes Technology Report

36 Episodes

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Nicole Spartano, PhD from Boston University on CGM Beyond Diabetes

2026-09-2117:13

We talk with Boston University researcher Nicole Spartano, PhD about what continuous glucose monitoring can reveal in people without diabetes and why those patterns may matter for future diabetes and cardiovascular risk. We dig into Framingham Heart Study findings (https://diabetesjournals.org/care/article/doi/10.2337/dc26-1197/172437/Beyond-Traditional-Glycemic-Measures-CGM-Glycemic), why A1C may not match CGM in non-diabetes ranges, and how to avoid overreacting to glucose spikes.

Shannon Lantzy, PhD on Accelerating Innovation in AID and Why Diabetes Tech Cannot Ship Like Angry Birds

2026-06-2918:42

An interview with Shannon Lantzy, PhD about why diabetes technology should be judged by how many “spoons” it gives back, not only by A1C and time in range. We dig into FDA decision-making, cybersecurity, faster software validation, and where AI can truly help without creating unsafe risk. • Shannon’s path from math and NASA consulting into FDA-focused decision science • Why patient preferences can change how benefit risk gets weighed • Cybersecurity realities for connected ...

Diabetes Technology Starts: Amir Hayeri From BioConscious On Using AI To Predict Glucose And Flag Risk

2026-05-2620:13

We talk with Amir Hayeri, founder and CEO of BioConscious Technologies, about using machine learning to predict glucose trends and turn CGM streams into actionable clinical foresight. We dig into accuracy, trust, liability, and why clustering dysglycemia may reveal risk that HbA1c can miss. • Amir’s origin story and the prevention-first philosophy behind BioConscious • Predicting glucose 60 minutes ahead using CGM data and how accuracy is measured • Why an app without a clin...

Diabetes Technology Starts: Lukas Schuster from Syntactiq on an AI Diabetes Data Platform for Research

2026-03-1314:33

In this episode in our Diabetes Technology Starts series, Lucas Schuster, founder and CEO of Syntactiq, unpacks the gap between what diabetes technology can measure and what research teams can realistically use day to day. We talk about collecting richer contextual data, enabling donation for research, and supporting partners who need to analyze their own sensitive health data, from continuous glucose monitoring logs to EHR datasets, omics data, and clinical trial data.

Diabetes Technology Starts: John Sjolund from Luna Diabetes on Nighttime Control For Pen Users

2026-03-0317:34

In the third episode of our Diabetes Technology Starts series, we talk with John Sjolund, co-founder of Luna Diabetes, about bringing nighttime automated insulin delivery to people who use pens, focusing on better mornings, fewer alarms, and simpler tech. We cover evidence so far, algorithm design, travel, Type 2 potential, cost, and environmental impact.

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