Thursday, October 2, 2025
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Cancer

Using machine learning to identify patients with cancer that would benefit from immunotherapy

April 16, 2024
in Cancer
Reading Time: 3 mins read
0
AI in Precision Oncology
65
SHARES
595
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

A new study examines the development of two machine learning models to classify the immunophenotype of a cancer specimen. The digital pathology approach presented can characterize and classify cancer immunophenotypes in a reproducible and scalable fashion, holding promise for the application of such a. method to identify patients that may benefit from immunotherapy in non-small cell lung cancer (NSCLC), according to the study published in the peer-reviewed journal AI in Precision Oncology. Click here to read the article now.

AI in Precision Oncology

Credit: Mary Ann Liebert

A new study examines the development of two machine learning models to classify the immunophenotype of a cancer specimen. The digital pathology approach presented can characterize and classify cancer immunophenotypes in a reproducible and scalable fashion, holding promise for the application of such a. method to identify patients that may benefit from immunotherapy in non-small cell lung cancer (NSCLC), according to the study published in the peer-reviewed journal AI in Precision Oncology. Click here to read the article now.

The cellular composition of the tumor immune microenvironment is a key contributor to the response of the tumor to immunotherapy. TGF-ß signaling is known to promote immune-exclusion, where CD8+ T cells are in the surrounding stromal tissue but not within the tumor itself.

To better identify patients who are immune-excluded, Rui Wang, from Sanofi, and coauthors, developed two machine learning models to quantify CD8+ cell positivity and classify the immunophenotype of a cancer specimen in patients with NSCLC.

“Our results support the potential use of machine learning-predicted cancer immunophenotypes to identify patients that may benefit from immunotherapy and/or TGF-ß blockage in NSCLC,” concluded the investigators.

“This research points towards improvements in patient identification for drug candidacy, utilizing AI and machine learning to pinpoint precise biomarkers for immunotherapy in NSCLC. It signifies progress towards personalized medicine, promising treatments tailored to individual patient profiles for greater effectiveness and minimized side effects. Essentially, it emphasizes the importance of directing new treatments to the right patients, paving the way for a new era of precision in cancer care,” 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.2023.0008

Method of Research

Experimental study

Subject of Research

People

Article Title

Classification of the Tumor Immune Microenvironment Using Machine-Learning-Based CD8 Immunophenotyping As a Potential Biomarker for Immunotherapy and TGF-β Blockade in Nonsmall Cell Lung Cancer

Article Publication Date

25-Mar-2024

Share26Tweet16
Previous Post

Yellowstone Lake ice cover unchanged despite warming climate

Next Post

NASA’s Fermi mission sees no gamma rays from nearby supernova

Related Posts

blank
Cancer

Direct Thoracic Duct Access Cures Neonatal Chylothorax

October 2, 2025
blank
Cancer

Comorbidities Impact Radiotherapy in Elderly Glioma

October 2, 2025
blank
Cancer

Generative AI Surpasses Nature in Designing Proteins for Genome Editing

October 2, 2025
blank
Cancer

Experts Advocate for a Ban on Commercial Sunbeds in the UK

October 1, 2025
blank
Cancer

Early-Onset Gastric Cancer Trends in BRICS

October 1, 2025
blank
Cancer

High-Frame Ultrasound Reveals Liver Cancer Insights

October 1, 2025
Next Post
SN 2023ixf in M101

NASA’s Fermi mission sees no gamma rays from nearby supernova

  • Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27561 shares
    Share 11021 Tweet 6888
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    970 shares
    Share 388 Tweet 243
  • Bee body mass, pathogens and local climate influence heat tolerance

    646 shares
    Share 258 Tweet 162
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    513 shares
    Share 205 Tweet 128
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    477 shares
    Share 191 Tweet 119
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • Overcoming Challenges in Metastatic Prostate Cancer Care
  • COVID-19’s Effect on Eastern Germany’s Autistic Adults
  • Pathogenic Variants Identify Prostate Cancer Genes in African Men
  • Individual Models Shape IPCC Climate Mitigation Findings

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

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

Join 5,186 other subscribers

© 2025 Scienmag - Science Magazine

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
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading