Shaofeng Yi on Muck Rack

Shaofeng Yi

As seen in: Frontiers in Immunology
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Shaofeng

Contact Shaofeng, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Predicting response to neoadjuvant therapy in breast cancer using longitudinal DCE-MRI deep learning integrated with tumor microenvironment data

|
By Xianming Huang, Lan LIU, Ao Wu, Yingyi Luo, Shaofeng Yi, Tenghua Yu, Qiao Zeng
| Frontiers in Immunology
Abstract Objective: This study developed and validated a multimodal fusion model to enable the early and accurate prediction of pathological complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer. The model integrates deep learning (DL) features derived from longitudinal dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) acquired early during treatment, peripheral blood inflammatory (PBI) indices, and baseline levels of tumor-infiltrating lymphocytes (TILs).
Open in Who Shared Issue with article?
See all 1 articles

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Get in touch with Shaofeng

Contact Shaofeng, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified