Monday, April 12, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Machine Learning Algorithms Predict CDKi Efficacy in ER+/HER2- Breast Cancer

January 4, 2020
in Machine Learning
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter
Although cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) have been proven to improve outcomes for patients with breast cancer, choosing when to initiate CDK4/6i therapy often presents challenges. While the treatment can be initiated either in the first- or second-line setting, or with an aromatase inhibitor or fulvestrant, studies have not directly compared these 2 options, nor have they determined the benefit of continuation of CDKi therapy with changes in hormonal therapy backbone.

Researchers attempted to solve this problem with an algorithm-based efficacy prediction, according to an exploratory analysis presented at the 2019 San Antonio Breast Cancer Symposium.

You might also like

IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory

Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars”

AI and Machine Learning Driven Contract Lifecycle Management for Government Contractors

By utilizing patient-level data from 8 randomized controlled pivotal trials totaling 4580 breast cancer patients, the researchers performed exploratory analyses of the predictive power of the baseline patient and disease characteristic data. The variables included age, race, ethnicity, country and continent of origin, height, weight, body mass index, menopause status, estrogen receptor status, progesterone receptor status, the Eastern Cooperative Oncology Group performance score, histological type and grade, and initial disease stage.

After gathering the data, researchers created baseline random survival forest models for patients that received a CDKi plus hormonal therapy and for patients that received hormonal therapy alone.

The preliminary findings produced prediction accuracies of 69.2% for the CDKi model, and 70.6% for the hormonal therapy alone model. Median predicted survival times for patients were calculated in both groups and used to identify patients that were more likely to benefit from initial use of CDKi therapy.

Through further analysis, the researchers also identified patient characteristics that are prognostic of survival.

The authors noted that future efforts are necessary to extend the prediction capabilities for adverse event development.

REFERENCE
Mason J, Gong Y, Amiri-Kordestani L, Wedam S, et al. Prediction of CDK inhibitor efficacy in ER+/HER2- breast cancer using machine learning algorithms. Accessed Dec 4, 2019. https://plan.core-apps.com/sabcs2019/abstract/c3d31d6ffb8feb46fe802df1c90511a7.

Credit: Google News

Previous Post

2020 quick tips: How to not lose your cables, chargers, and other gadgets when working out and about

Next Post

The 6 life-changing tech habits you need this year

Related Posts

IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory
Machine Learning

IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory

April 12, 2021
Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars”
Machine Learning

Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars”

April 12, 2021
AI and Machine Learning Driven Contract Lifecycle Management for Government Contractors
Machine Learning

AI and Machine Learning Driven Contract Lifecycle Management for Government Contractors

April 12, 2021
Cambridge Quantum Computing Pioneers Quantum Machine Learning Methods for Reasoning
Machine Learning

Cambridge Quantum Computing Pioneers Quantum Machine Learning Methods for Reasoning

April 11, 2021
Why Machine Learning Over Artificial Intelligence?
Machine Learning

Why Machine Learning Over Artificial Intelligence?

April 11, 2021
Next Post
The 6 life-changing tech habits you need this year

The 6 life-changing tech habits you need this year

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory
Machine Learning

IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory

April 12, 2021
Ransomware: The internet’s biggest security crisis is getting worse. We need a way out
Internet Security

Ransomware: The internet’s biggest security crisis is getting worse. We need a way out

April 12, 2021
Data Center Infrastructure Market is Projected to Reach USD 100 Billion by 2027
Data Science

Data Center Infrastructure Market is Projected to Reach USD 100 Billion by 2027

April 12, 2021
Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars”
Machine Learning

Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars”

April 12, 2021
Interpretive Analytics in One Picture
Data Science

Interpretive Analytics in One Picture

April 12, 2021
AI and Machine Learning Driven Contract Lifecycle Management for Government Contractors
Machine Learning

AI and Machine Learning Driven Contract Lifecycle Management for Government Contractors

April 12, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • IIT Hyderabad Offers Interdisciplinary PhD in Artificial Intelligence, Machine Learning and Information Theory April 12, 2021
  • Ransomware: The internet’s biggest security crisis is getting worse. We need a way out April 12, 2021
  • Data Center Infrastructure Market is Projected to Reach USD 100 Billion by 2027 April 12, 2021
  • Hawaiʻi’s Keck Observatory Aids in Discovery of Rare “Quadruply Imaged Quasars” April 12, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates