• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Thursday, April 2, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Health

Say ‘aah’ and get a diagnosis on the spot: is this the future of health?

by
September 6, 2025
in Health
Reading Time: 2 mins read
0
Computerised tongue analysis
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

A computer algorithm has achieved a 98% accuracy in predicting different diseases by analysing the colour of the human tongue.

A computer algorithm has achieved a 98% accuracy in predicting different diseases by analysing the colour of the human tongue.

The proposed imaging system developed by Iraqi and Australian researchers can diagnose diabetes, stroke, anaemia, asthma, liver and gallbladder conditions, COVID-19, and a range of vascular and gastrointestinal issues.

Engineering researchers from Middle Technical University (MTU) and the University of South Australia (UniSA) achieved the breakthrough in a series of experiments where they used 5260 images to train machine learning algorithms to detect tongue colour.

Two teaching hospitals in the Middle East supplied 60 tongue images from patients with various health conditions. The artificial intelligence (AI) model was able to match the tongue colour with the disease in almost all cases.

A new paper published in Technologies outlines how the proposed system analyses tongue colour to provide on-the-spot diagnosis, confirming that AI holds the key to many advances in medicine.

Senior author, MTU and UniSA Adjunct Associate Professor Ali Al-Naji, says AI is replicating a 2000-year-old practice widely used in traditional Chinese medicine – examining the tongue for signs of disease.

“The colour, shape and thickness of the tongue can reveal a litany of health conditions,” he says.

“Typically, people with diabetes have a yellow tongue; cancer patients a purple tongue with a thick greasy coating; and acute stroke patients present with an unusually shaped red tongue.

“A white tongue can indicate anaemia; people with severe cases of COVID-19 are likely to have a deep red tongue; and an indigo or violet coloured tongue indicates vascular and gastrointestinal issues or asthma.”

In the study, cameras placed 20 centimetres from a patient captured their tongue colour and the imaging system predicted their health condition in real time.

Co-author UniSA Professor Javaan Chahl says that down the track, a smartphone will be used to diagnose disease in this way.

“These results confirm that computerised tongue analysis is a secure, efficient, user friendly and affordable method for disease screening that backs up modern methods with a centuries-old practice,” Prof Chahl says.



Journal

Technologies

DOI

10.3390/technologies12070097

Method of Research

Experimental study

Subject of Research

People

Article Title

Tongue Disease Prediction Based on Machine Learning Algorithms

Article Publication Date

28-Jun-2024

Share12Tweet8Share2ShareShareShare2

Related Posts

Targeting Master Regulators: A Unified Cancer Therapy

April 2, 2026

Gut Microbiota and SCFA Biomarkers in Early PD Diagnosis

April 1, 2026

Lack of Access to Dental Care Linked to Increased Risk of Cardiovascular Disease and Dementia

April 1, 2026

Breakthrough Gene Editing Therapy Offers Hope for Severe Sickle Cell Disease

April 1, 2026

POPULAR NEWS

  • blank

    Revolutionary AI Model Enhances Precision in Detecting Food Contamination

    96 shares
    Share 38 Tweet 24
  • Imagine a Social Media Feed That Challenges Your Views Instead of Reinforcing Them

    1007 shares
    Share 398 Tweet 249
  • Promising Outcomes from First Clinical Trials of Gene Regulation in Epilepsy

    51 shares
    Share 20 Tweet 13
  • Popular Anti-Aging Compound Linked to Damage in Corpus Callosum, Study Finds

    44 shares
    Share 18 Tweet 11

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

From Algae Waste to High-Performance Filters: Innovative Biochar Membranes Boost Wastewater Purification

Study Finds Hydrochar Enhances Soil Carbon Storage and Structure More Effectively Than Biochar

Five-Year Study Uncovers Smarter Biochar Approach to Slash Methane Emissions in Rice Paddies

Subscribe to Blog via Email

Success! An email was just sent to confirm your subscription. Please find the email now and click 'Confirm' to start subscribing.

Join 78 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.