Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • HACKING
  • SLOT
  • CASINO
  • SUBMIT
Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • HACKING
  • SLOT
  • CASINO
  • SUBMIT
Crypto Flexs
Home»ADOPTION NEWS»AI model GluFormer predicts blood sugar levels years in advance.
ADOPTION NEWS

AI model GluFormer predicts blood sugar levels years in advance.

By Crypto FlexsNovember 17, 20242 Mins Read
Facebook Twitter Pinterest LinkedIn Tumblr Email
AI model GluFormer predicts blood sugar levels years in advance.
Share
Facebook Twitter LinkedIn Pinterest Email

Ted Hisokawa
November 15, 2024 01:32

The GluFormer AI model, developed by NVIDIA and partners, predicts blood sugar levels and health indicators to provide insights into diabetes management and preventive care.





In a breakthrough in diabetes management and preventative healthcare, a new AI model called GluFormer has been developed to predict future blood sugar levels and other health indicators. According to NVIDIA, the model leverages historical blood sugar monitoring data to predict health outcomes up to four years in the future.

Development and Features

The GluFormer model is the result of a joint effort by researchers from the Weizmann Institute of Science, Tel Aviv-based startup Pheno.AI, and NVIDIA. By incorporating dietary intake data, this model also predicts individual glucose responses to specific foods, advancing the field of precision nutrition. This feature is important for early identification of pre-diabetes and diabetes to establish timely preventive management strategies.

Economic and health impacts

The economic burden of diabetes is expected to reach $2.5 trillion globally by 2030, highlighting the importance of early detection and management. GluFormer aims to mitigate these effects through proactive medical measures. The AI ​​model’s predictions could revolutionize our approach to treating diabetes, potentially reducing complications such as kidney damage, vision loss, and heart problems.

technical insight

GluFormer uses a transformer model architecture similar to that used in OpenAI’s GPT model. This architecture is adept at interpreting sequential data, making it suitable for medical datasets such as continuous blood glucose monitoring. Gal Chechik, senior director of AI research at NVIDIA, emphasized that this approach allows the model to learn and predict the progress of diagnostic measurements over time.

Training and Verification

The model was trained using 14 days of glucose data from more than 10,000 non-diabetic patients collected every 15 minutes via a wearable device. This dataset was part of Pheno.AI’s Human Phenotype Project. The research team validated GluFormer on 15 additional data sets to determine its ability to generalize across a variety of health conditions, including pre-diabetes, type 1 and type 2 diabetes, gestational diabetes, and obesity.

Wider application areas

In addition to glucose prediction, GluFormer can further expand its utility in the medical field by estimating other medical indicators such as visceral adipose tissue, systolic blood pressure, and apnea-hypopnea index. Model development is accelerated using NVIDIA Tensor Core GPUs, improving both training and inference processes.

Image source: Shutterstock


Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

Related Posts

SOL Leverage Longs Jump Ship, is it $ 200 next?

September 24, 2025

Bitcoin Treasury Firm Strive adds an industry veterans and starts a new $ 950 million capital initiative.

September 16, 2025

The best Solana depin project to form the future -Part 2

September 8, 2025
Add A Comment

Comments are closed.

Recent Posts

Futuromining Reaches $5,700 Daily Income Milestone For XRP Users

September 26, 2025

CoinFerenceX 2025 Unites Global Web3 Innovators In Singapore On September 29

September 26, 2025

Pepeto Highlights $6.8M Presale Amid Ethereum’s Price Moves And Opportunities

September 26, 2025

LYS Labs Moves Beyond Data And Aims To Become The Operating System For Automated Global Finance

September 26, 2025

Dexari Unveils $1M Cash Prize Trading Competition

September 26, 2025

How to solve the XPL perp defect

September 26, 2025

Detect the full execution bug with the induction pursing of Wake

September 25, 2025

KuCoin Appeals FINTRAC Decision, Reaffirms Commitment To Compliance

September 25, 2025

Phemex Revamps Blog To Deliver Deeper Insights And Enhanced Reader Experience

September 25, 2025

T-REX Launches Intelligence Layer To Fix Web3’s Value Distribution Problem

September 25, 2025

Are you doing a fair deal?

September 25, 2025

Crypto Flexs is a Professional Cryptocurrency News Platform. Here we will provide you only interesting content, which you will like very much. We’re dedicated to providing you the best of Cryptocurrency. We hope you enjoy our Cryptocurrency News as much as we enjoy offering them to you.

Contact Us : Partner(@)Cryptoflexs.com

Top Insights

Futuromining Reaches $5,700 Daily Income Milestone For XRP Users

September 26, 2025

CoinFerenceX 2025 Unites Global Web3 Innovators In Singapore On September 29

September 26, 2025

Pepeto Highlights $6.8M Presale Amid Ethereum’s Price Moves And Opportunities

September 26, 2025
Most Popular

WBTC thieves return $71 million worth of stolen funds

May 13, 2024

Former BitConnect Promoter Pleads Guilty to Criminal Charges

May 19, 2024

Cryptocurrency Exchange WazirX Hacked, Losing Over $230 Million in Ethereum, Shiba Inu, and Other Assets: On-Chain Data

July 19, 2024
  • Home
  • About Us
  • Contact Us
  • Disclaimer
  • Privacy Policy
  • Terms and Conditions
© 2025 Crypto Flexs

Type above and press Enter to search. Press Esc to cancel.