Convolutional neural network

1 paper1 finding

C, W, M, H: cells, worms or flies, mice, humans. Dark: independent labs found the same change there. Light: one lab or one study. Outline: nothing yet.

Labs are independent when their papers share no last author and no institution.

Against: findings that point the other way from most findings on the same outcome.

No results posted: trials that ended more than a year ago with no results on ClinicalTrials.gov and no paper in ARN’s record.

Company ties: findings with an author at a company, or from a paper whose competing-interests statement declares ties to one.

1 lab in 1 country

Funders: Department of Education of Shandong Province and 5 more

Humans1

Outcomes

Glucose level prediction accuracy

upin humans1

1 study

Convolutional neural network improves glucose level prediction accuracy in humans (R2 = 0.98).
Human trialunder noninvasive conditions
High-Sensitivity Non-Invasive Microwave Glucose Sensor with ZnO/CNT Composite Optimized by Deep Learning for Wearable Medical Devices
ACS omega21 Jul 2026

Latest

1 in 12 months

ACS Omega8 Aug

High-Sensitivity Non-Invasive Microwave Glucose Sensor with ZnO/CNT Composite Optimized by Deep Learning for Wearable Medical Devices

Study in peopleGlucose

Paper

Convolutional neural network

Outcomes

Latest

High-Sensitivity Non-Invasive Microwave Glucose Sensor with ZnO/CNT Composite Optimized by Deep Learning for Wearable Medical Devices

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