SIGN IN YOUR ACCOUNT TO HAVE ACCESS TO DIFFERENT FEATURES

FORGOT YOUR PASSWORD?

FORGOT YOUR DETAILS?

AAH, WAIT, I REMEMBER NOW!
Welcome to the International Immuno-Oncology Biomarker Working Group on Breast Cancer
  • Registration
  • Contact Us
  • LOGIN

International TILS Working Group

  • HOME
    • Membership
    • Funding
    • Who we are
    • Mission
    • Composition of the group
    • Core group
    • Contact Us
    • FAQs
  • RESEARCH & EDUCATION
    • General
      • What are TILs and why are they important ?
      • Presentations
      • Literature Update
      • Q&A on TIL-assessment
      • Researcher Resources
      • Pathology Resources
    • Train yourself !Learn to score TILS
      • … Tutorial Videos
      • … in invasive breast cancer
      • … in solid tumors and in the metastatic setting
      • … in residual disease after treatment
      • … in DCIS
      • … Reference images and pitfalls
    • Ongoing Projects
      • Incorporation of TILs in the Residual Cancer Burden Index
      • Artificial Intelligence / Deep Learning / Machine Learning approaches to TIL-assessment
      • Coming soon: Machine Learning & Clinical Trials
    • Working Groups
      • … on TILs and DCIS
      • … on TILs and Machine Learning Algorithms
      • … on TILs in residual Disease
      • .. on TILs in solid tumors other than Breast Cancer
      • … on TILs in mouse models
  • BLOG
  • NEWS
  • PARTNERS & CAREERS
  • MEETINGS
Teach yourself to score TILs!
  • Home
  • Mission

Mission

      • To propose a scientific strategy regarding the standardization, validation and clinical utility of immune-oncology biomarkers.
      • To publish guidelines on these topics.
      • To propose research projects within this framework.
      • The core group of the Working Group has as its main task liaising other societies (ASCO, ESMO, AACR, BIG, etc…) in order to establish collaborations and increase added value of the Working Group to ongoing or still to establish developments and projects in the Immuno-Oncology Biomarker area.
      • To prioritize the collaboration between research groups so to developed studies with large amounts of patients which is only beneficial in the development of adequately powered studies.

Overview Articles

Natural killer cells are a type of lymphocytes which destroy cancer cells and other altered cells releasing cytotoxic granules.

Categories

  • New
  • TILs in machine learning algorithms

Topics discussed

Follow me on Twitter

Tweets by @TILsWorkGroup

Blog Archive

  • February 2019
  • January 2018
Website powered by Copyright © 2022 - 2022. All rights reserved.

Website general Terms & Conditions

info@tilsinbreastcancer.org

TOP