Technology & Innovation - CGM Research | DSR
36 Articles

Technology & Innovation

Sensor mechanisms, MARD analysis, algorithms, and calibration technologies

Technology & Innovation
Advanced

CGM Sensor Technology Mechanisms

How CGM sensor technology works: the glucose oxidase and optical mechanisms behind continuous glucose monitoring sensors from Dexcom, Abbott, MiniMed ...

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Comparative Accuracy and MARD Analysis

How MARD (mean absolute relative difference) is calculated and used to compare the accuracy of CGM systems, with published figures and study design no...

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Data Ecosystems and Remote Monitoring

How continuous glucose monitoring (CGM) data ecosystems move readings from sensor to phone to cloud, and how remote monitoring works for caregivers (D...

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Technology & Innovation
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Major US Manufacturers and Product Lines

As of October 2026, the major US continuous glucose monitoring (CGM) manufacturers are Dexcom, Abbott, MiniMed and Senseonics, and their product lines...

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Over-the-Counter (OTC) CGM Market

The Over-the-Counter (OTC) CGM market began in 2024, when the FDA cleared **Dexcom's Stelo** (March) and **Abbott's Lingo and Libre Rio** (May and Jun...

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Patent Landscape and Intellectual Property

An overview of the patent landscape and intellectual property in continuous glucose monitoring (CGM), including how long CGM patents last and real sen...

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Automated Insulin Delivery (AID) Algorithms

Automated insulin delivery (AID) algorithms use CGM readings to decide how much insulin a pump delivers. We explain the main algorithm types (PID, MPC...

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Bio-fluid Glucose Correlation

Continuous Glucose Monitors measure glucose in Interstitial Fluid (ISF), not blood, so their readings trail blood glucose by a physiological lag that ...

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Technology & Innovation
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Data Privacy in Consumer Health Wearables

Who can see the glucose data that CGMs and other consumer health wearables collect, and which U.S. privacy rules apply: HIPAA, the FTC Health Breach N...

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Microneedle Array Sensor Innovation

Microneedle Array (MNA) sensors take a different route to Continuous Glucose Monitoring: instead of the single wire that Dexcom and Abbott sensors pla...

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Signal Processing Algorithms in CGM

How signal processing algorithms in a CGM turn a raw sensor signal into a glucose reading through calibration, noise filtering and lag compensation. W...

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AI & Machine Learning in CGM Calibration

The move from user-calibrated to **Factory Calibrated** Continuous Glucose Monitors (CGMs) rests mostly on sensor chemistry and consistent manufacturi...

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AID interoperability lets continuous glucose monitors (CGMs), insulin pumps and dosing algorithms from different companies work together as one automa...

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Biofouling, driven by the foreign body response (FBR), limits how long a CGM sensor in the skin stays accurate. This article covers the mitigation str...

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Closed-Loop Systems (Artificial Pancreas)

Closed-Loop Systems, or **Automated Insulin Delivery (AID)**, link a CGM, an insulin pump and a dosing algorithm. Commercial algorithms didn't simply ...

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Non-Enzymatic Glucose Sensing Technologies

Non-enzymatic glucose sensing technologies measure glucose without an enzyme, either by oxidizing it directly on a metal or nanomaterial electrode or ...

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Sensor Bio-fouling and Biocompatibility

How sensor bio-fouling, the buildup of proteins and cells on a sensor's surface, and the biocompatibility of sensor materials affect continuous glucos...

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How MARD (mean absolute relative difference), the most quoted CGM accuracy number, has changed by sensor generation, from the first Medtronic sensors ...

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Closed-Loop Algorithms with Multi-Analyte Data

Closed-loop algorithms link a CGM to an insulin pump and adjust insulin delivery automatically from glucose readings. This article explains how today'...

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Direct-to-Consumer (DTC) Metabolic Monitoring

An overview of direct-to-consumer (DTC) metabolic monitoring: the over-the-counter CGMs and apps the FDA has cleared for sale without a prescription (...

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Microneedle Array Technology in CGM

Microneedle (MN) Array technology moves CGM sensing from the subcutaneous fat to the **dermis**, using projections so short that they usually stop abo...

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Non-Adjunctive Meal Detection Algorithms

Non-adjunctive meal detection algorithms are software that tries to recognize meals from CGM glucose data, alone or with other wearable signals, so an...

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Pediatric vs. Adult Calibration Algorithms

FDA records describe no separate pediatric calibration algorithm: children and adults wear the same factory-calibrated CGM sensors, and as of October ...

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Smart Pen Integration with CGM

Smart pen integration links the dose log from a connected insulin pen with CGM glucose data, turning multiple daily injections (MDI) into a "Smart MDI...

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Ultra-Rapid Acting Insulin Formulations

Ultra-rapid acting insulin formulations such as Fiasp and Lyumjev are mealtime insulins reformulated to reach the bloodstream within minutes of inject...

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AI and ML in Glucose Signal Processing

Factory calibration, not AI, is what took routine fingerstick calibration out of CGMs. AI and Machine Learning are mostly research tools aimed at sign...

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Technology & Innovation
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Biofouling Mitigation in Dermal Sensors

Biofouling, the buildup of proteins and cells on a sensor's surface, works differently for dermal glucose sensors that sit in or on the skin, such as ...

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How biofouling and the foreign body response (FBR) limit CGM wear time, and how mitigation differs between 10- to 15-day skin-worn sensors and the imp...

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Automated insulin delivery (AID) algorithms act on every reading, so a continuous glucose monitor (CGM) that feeds one must meet the FDA's iCGM requir...

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Implantable Fluorescence Sensors

Implantable fluorescence sensors measure glucose with light: in Senseonics' Eversense 365, glucose binds reversibly to a boronic-acid indicator on the...

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Multi-Hormone AID Systems (Insulin + Glucagon)

Multi-hormone AID systems dose insulin together with glucagon, and in some research systems pramlintide, so the algorithm can do more than cut back in...

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PID (proportional-integral-derivative) and MPC (model predictive control) are the two control approaches most often used in automated insulin delivery...

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**Ultra-Rapid Acting Insulins (URAI)** such as **Fiasp** (Novo Nordisk) and **Lyumjev** (Eli Lilly) add ingredients that speed up insulin absorption, ...

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Zwitterionic Polymer Coatings

**Zwitterionic Polymer Coatings** are a material-science approach researchers are testing to keep Continuous Glucose Monitor (CGM) sensors accurate fo...

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Power Management and Miniaturization in CGMs

How continuous glucose monitors (CGMs) handle power management and miniaturization, from low-power Bluetooth radios to single-use, all-in-one sensors ...

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Technology & Innovation
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Sensor Calibration Algorithms and Data Fusion

How CGM sensor calibration algorithms convert a raw sensor current into a glucose reading, how factory calibration and fingerstick calibration differ,...

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