Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Hormones Regulating Blood Glucose01:16

Hormones Regulating Blood Glucose

5.5K
Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
5.5K
Glucose Homeostasis: Regulation of Blood Glucose01:02

Glucose Homeostasis: Regulation of Blood Glucose

3.2K
Carbohydrates consumed through foods are converted into glucose, a crucial energy source for the body. In the prandial state, high blood glucose levels stimulate the secretion of insulin from the pancreas. Insulin inhibits hepatic glucose production and stimulates glucose uptake and metabolism by muscle and adipose tissue. The excess glucose is converted into glycogen and stored in the liver and muscles.
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
3.2K
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

3.8K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
3.8K
Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

4.2K
Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
4.2K
Glucose Transporters01:27

Glucose Transporters

26.6K
Glucose transporters facilitate the transport of glucose across the cell membrane. In addition to glucose, some glucose transporters can also aid the movement of other hexoses such as fructose, mannose, and galactose.
Facilitated diffusion-glucose transporters (GLUTs) are encoded by the solute-linked carrier (SLC) family 2, subfamily A gene family, or SLC2A. The 14 GLUT protein members are distributed into three classes:
26.6K
Hypoglycemia and Glucagon01:15

Hypoglycemia and Glucagon

534
Without prolonged fasting, healthy individuals maintain blood glucose levels above 3.5 mM due to a well-adapted neuroendocrine counterregulatory system that effectively prevents acute hypoglycemia, a potentially life-threatening condition. The primary clinical scenarios for hypoglycemia encompass diabetes treatment, inappropriate production of endogenous insulin or insulin-like substances by tumors, and the use of glucose-lowering agents in non-diabetic individuals. Notably, hypoglycemia in the...
534

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Semantic Parsing Pipeline for Context-Dependent Question Answering over Temporally Structured Data.

Natural language engineering·2023
Same author

LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management.

Sensors (Basel, Switzerland)·2021
Same author

LSTMs and Neural Attention Models for Blood Glucose Prediction: Comparative Experiments on Real and Synthetic Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Set cover-based methods for motif selection.

Bioinformatics (Oxford, England)·2019
Same author

Using LSTMs to learn physiological models of blood glucose behavior.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

Case-based reasoning in the health sciences: What's next?

Artificial intelligence in medicine·2006

Related Experiment Video

Updated: Nov 17, 2025

Simple Continuous Glucose Monitoring in Freely Moving Mice
03:25

Simple Continuous Glucose Monitoring in Freely Moving Mice

Published on: February 24, 2023

6.9K

The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020.

Cindy Marling1, Razvan Bunescu1

  • 1Ohio University, USA.

CEUR Workshop Proceedings
|February 15, 2021
PubMed
Summary

The OhioT1DM Dataset offers valuable data for type 1 diabetes research, including continuous glucose monitoring and physiological sensor information. This expanded dataset aids blood glucose level prediction research.

Area of Science:

  • Biomedical Informatics
  • Endocrinology
  • Data Science

Background:

  • Type 1 diabetes management requires accurate blood glucose level prediction.
  • Existing datasets may lack comprehensive, integrated data for advanced research.
  • The OhioT1DM Dataset was created to address this need.

Purpose of the Study:

  • To document and release the expanded OhioT1DM Dataset for type 1 diabetes research.
  • To facilitate and promote research in blood glucose level prediction.
  • To provide researchers with integrated physiological and self-reported data.

Main Methods:

  • Collected eight weeks of data for 12 individuals with type 1 diabetes.
  • Included continuous glucose monitoring, insulin, physiological sensor, and life-event data.

More Related Videos

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

9.2K
Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

19.1K

Related Experiment Videos

Last Updated: Nov 17, 2025

Simple Continuous Glucose Monitoring in Freely Moving Mice
03:25

Simple Continuous Glucose Monitoring in Freely Moving Mice

Published on: February 24, 2023

6.9K
A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

9.2K
Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

19.1K
  • Developed an associated graphical software tool for data visualization.

    • Main Results:

    • The OhioT1DM Dataset now contains data for 12 individuals, doubled from its initial release.
    • The dataset integrates multiple data types for a holistic view of diabetes management.
    • A detailed paper describes the dataset's content, format, and acquisition process.

    Conclusions:

    • The OhioT1DM Dataset is a valuable resource for advancing blood glucose prediction models.
    • The updated dataset supports the second Blood Glucose Level Prediction Challenge.
    • This work supersedes previous documentation of the dataset.