• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, October 1, 2025
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 Biology

AI-based Alphafold: Its potential impact on predictive medicine

by
June 26, 2024
in Biology
Reading Time: 4 mins read
0
AI in Precision Oncology
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

AlphaFold is an outstanding example of artificial intelligence’s computational capabilities in accurately predicting intricate protein structures. A new Review article explores AlphaFold’s recent advancements and its potential impact on predictive medicine. The article is published in the peer-reviewed journal AI in Precision Oncology. Click to read the articles now.

Vivek Subbiah, MD, from the Sarah Cannon Research Institute, and coauthors, describe a shift toward predictive medicine, in which AI, integrated with genomic data, revolutionizes our understanding of diseases, facilitates drug design, and enables personalized therapies. This evolution comes with challenges, however, and the review emphasizes the importance of predicting protein functions, binding kinetics, and thermodynamic properties for effective drug development.

As AI merges with clinical data, the authors stress that “ethical considerations surrounding patient privacy and responsible AI use become paramount.” The review presents a hypothetical patient journey in colorectal cancer, highlighting how AI-driven predictions could accelerate the development of personalized vaccines and facilitate adaptive clinical trials.

“AlphaFold’s groundbreaking ability to predict protein structures is set to revolutionize predictive medicine, driving forward drug design and personalized therapies. Dr. Vivek Subbiah and coauthors, in a recent AI in Precision Oncology review, illuminate this transformative shift while addressing the crucial challenges and ethical considerations of integrating AI with clinical data.”, says Douglas Flora, MD, Editor-in-Chief of AI in Precision Oncology. 

About the Journal
AI in Precision Oncology is the only peer-reviewed journal dedicated to the advancement of artificial intelligence applications in clinical and precision oncology. Spearheaded by Editor-in-Chief Douglas Flora, MD and supported by a diverse and accomplished team of international experts, the Journal provides a high-profile forum for cutting-edge research and frontmatter highlighting important research and industry-related advances rapidly developing within the field. For complete information, visit the AI in Precision Oncology website.

About the Publisher
Mary Ann Liebert, Inc. is a global media company dedicated to creating, curating, and delivering impactful peer-reviewed research and authoritative content services to advance the fields of biotechnology and the life sciences, specialized clinical medicine, and public health and policy. For complete information, please visit the Mary Ann Liebert, Inc. website.

AI in Precision Oncology

Credit: Mary Ann Liebert, Inc.

AlphaFold is an outstanding example of artificial intelligence’s computational capabilities in accurately predicting intricate protein structures. A new Review article explores AlphaFold’s recent advancements and its potential impact on predictive medicine. The article is published in the peer-reviewed journal AI in Precision Oncology. Click to read the articles now.

Vivek Subbiah, MD, from the Sarah Cannon Research Institute, and coauthors, describe a shift toward predictive medicine, in which AI, integrated with genomic data, revolutionizes our understanding of diseases, facilitates drug design, and enables personalized therapies. This evolution comes with challenges, however, and the review emphasizes the importance of predicting protein functions, binding kinetics, and thermodynamic properties for effective drug development.

As AI merges with clinical data, the authors stress that “ethical considerations surrounding patient privacy and responsible AI use become paramount.” The review presents a hypothetical patient journey in colorectal cancer, highlighting how AI-driven predictions could accelerate the development of personalized vaccines and facilitate adaptive clinical trials.

“AlphaFold’s groundbreaking ability to predict protein structures is set to revolutionize predictive medicine, driving forward drug design and personalized therapies. Dr. Vivek Subbiah and coauthors, in a recent AI in Precision Oncology review, illuminate this transformative shift while addressing the crucial challenges and ethical considerations of integrating AI with clinical data.”, says Douglas Flora, MD, Editor-in-Chief of AI in Precision Oncology. 

About the Journal
AI in Precision Oncology is the only peer-reviewed journal dedicated to the advancement of artificial intelligence applications in clinical and precision oncology. Spearheaded by Editor-in-Chief Douglas Flora, MD and supported by a diverse and accomplished team of international experts, the Journal provides a high-profile forum for cutting-edge research and frontmatter highlighting important research and industry-related advances rapidly developing within the field. For complete information, visit the AI in Precision Oncology website.

About the Publisher
Mary Ann Liebert, Inc. is a global media company dedicated to creating, curating, and delivering impactful peer-reviewed research and authoritative content services to advance the fields of biotechnology and the life sciences, specialized clinical medicine, and public health and policy. For complete information, please visit the Mary Ann Liebert, Inc. website.



Journal

AI in Precision Oncology

DOI

10.1089/aipo.2024.0010

Method of Research

Literature review

Subject of Research

People

Article Title

AlphaFold’s Predictive Revolution in Precision Oncology

Article Publication Date

26-Jun-2024

Share12Tweet8Share2ShareShareShare2

Related Posts

blank

Uncovering How Pathogens Assemble Protein Machinery to Thrive in the Gut

October 1, 2025
The Science Behind Women’s Longevity: Why They Outlive Men

The Science Behind Women’s Longevity: Why They Outlive Men

October 1, 2025

Could Fungi Inspire the Future of Advanced Hydrogels?

October 1, 2025

Unique β-Barrel Machinery Structure Found in Bacteroidota

October 1, 2025

POPULAR NEWS

  • New Study Reveals the Science Behind Exercise and Weight Loss

    New Study Reveals the Science Behind Exercise and Weight Loss

    90 shares
    Share 36 Tweet 23
  • Physicists Develop Visible Time Crystal for the First Time

    74 shares
    Share 30 Tweet 19
  • How Donor Human Milk Storage Impacts Gut Health in Preemies

    63 shares
    Share 25 Tweet 16
  • New Study Indicates Children’s Risk of Long COVID Could Double Following a Second Infection – The Lancet Infectious Diseases

    60 shares
    Share 24 Tweet 15

About

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

Follow us

Recent News

Laparoscopic vs. Robotic Surgery for Complex Kidney Tumors

Uncovering How Pathogens Assemble Protein Machinery to Thrive in the Gut

Innovative Insights into Phospholipid Metabolism: A Novel Approach to Inflammation Control in Innate Immunity

Subscribe to Blog via Email

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

Join 60 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.