• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Friday, November 13, 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

Artificial intelligence could predict spread of melanoma

Bioengineer by Bioengineer
February 26, 2019
in Health
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Study conducted by Ben-Gurion University and Texas Southwestern Medical Center

BEER-SHEVA, Israel…February 26, 2019 – An interdisciplinary team of researchers at Ben-Gurion University of the Negev (BGU) in Israel and the University of Texas Southwestern Medical Center (UTSW) in Dallas have developed groundbreaking technology to identify melanoma cells that are likely to metastasize to other parts of the body using artificial intelligence (AI).

The method, called “quantitative live cell histology,” was presented recently at the American Society for Cell Biology/EMBO conference in San Diego by Dr. Assaf Zaritsky, of the BGU Department of Software and Information Systems Engineering, and UTSU Prof. Gaudenz Danuser.

The technology records video of cells using microscopic cameras and identifies the appearance and behavioral patterns of those cells that have metastatic potential.

The group demonstrated that their representation of the functional state of individual cells can predict the likelihood that a stage III melanoma, with malignancies limited to the lymphatic system, will progress to stage IV, in which the cancer has spread from the principal area to the rest of the patient’s body.

“Beyond metastasis prediction potential, the computer models also allowed us to distinguish between cancer cells taken from different patients by quantifying factors that are not visible to the naked eye,” says Dr. Zaritsky.

###

About American Associates, Ben-Gurion University of the Negev

American Associates, Ben-Gurion University of the Negev (AABGU) plays a vital role in sustaining David Ben-Gurion’s vision: creating a world-class institution of education and research in the Israeli desert, nurturing the Negev community and sharing the University’s expertise locally and around the globe. As Ben-Gurion University of the Negev (BGU) looks ahead to turning 50 in 2020, AABGU imagines a future that goes beyond the walls of academia. It is a future where BGU invents a new world and inspires a vision for a stronger Israel and its next generation of leaders. Together with supporters, AABGU will help the University foster excellence in teaching, research and outreach to the communities of the Negev for the next 50 years and beyond. Visit vision.aabgu.org to learn more.

AABGU, headquartered in Manhattan, has nine regional offices throughout the United States. For more information visit https://aabgu.org/.

Media Contact
Andrew Lavin
andrewlavin@alavin.com

Tags: Health CareMedicine/HealthNanotechnology/MicromachinesOpticsRobotry/Artificial Intelligence
Share12Tweet8Share2ShareShareShare2

Related Posts

Research Editorial Outlines Strategies to Expand Cannabinoid Therapeutic Dose Ranges Safely

Research Editorial Outlines Strategies to Expand Cannabinoid Therapeutic Dose Ranges Safely

November 13, 2026
Survey Links Critical Care Readiness to ARDS Practice at Ningxia Hospital

Survey Links Critical Care Readiness to ARDS Practice at Ningxia Hospital

November 13, 2026

Shadowbox simulation helps medical trainees learn expert decision-making

November 13, 2026

GATA4 Variant Linked to Poor Ovarian Response in Iranian Fertility Study

November 13, 2026
Please login to join discussion

POPULAR NEWS

  • Astrocytic IL-17A Drives Blood Vessel Repair Following Stroke-Like Brain Injury

    Astrocytic IL-17A Drives Blood Vessel Repair Following Stroke-Like Brain Injury

    29 shares
    Share 12 Tweet 7
  • SWEET Genes Regulate Development and Stress Responses in Cunninghamia lanceolata

    29 shares
    Share 12 Tweet 7
  • Fermented Fish Isolates Show Resilience and Safety in Laboratory Probiotic Screening

    29 shares
    Share 12 Tweet 7
  • Multimodal AI Detects Prestressed Concrete Beam Defects in Controlled Laboratory Tests

    29 shares
    Share 12 Tweet 7

About

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

Follow us

Recent News

Research Editorial Outlines Strategies to Expand Cannabinoid Therapeutic Dose Ranges Safely

Drones Track Individual Beech Tree Canopy Dynamics in Italian Forests

Survey Links Critical Care Readiness to ARDS Practice at Ningxia Hospital

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 86 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.