Understanding the occurrence of metastatic breast cancer through clinical, phenotype and genotype data, and the employment of machine learning / Nadia Jalaludin
Approximately 2.3 million women were diagnosed with breast cancer (BC) in 2020 and nearly 30% of women diagnosed with early-stage breast cancer will later develop metastatic disease. Despite the development and discovery of drugs and pharmacotherapy for breast cancer, the 5-year survival rate for pe...
Saved in:
Main Author: | Jalaludin, Nadia |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/84271/1/84271.pdf https://ir.uitm.edu.my/id/eprint/84271/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A global confluence of educational innovation / Nadia Jalaludin
by: Jalaludin, Nadia
Published: (2023) -
The study of relationship between cancer markers and age of patient in primary and metastatic paraffinized breast cancer tissue / Nur Azimah Osman
by: Osman, Nur Azimah
Published: (2009) -
Unbiased phenotype-based screen identifies therapeutic agents selective for metastatic prostate cancer
by: Chung, Ivy, et al.
Published: (2021) -
Evaluation of fatty liver in breast cancer patients and its metastatic potential
by: Ahmad, Nor Hayati
Published: (2021) -
Glutamate regulation of Voltage-Gated Sodium Channels (VGSCS) in breast cancer cell lines of different metastatic potential
by: Azahar, Irfan Irsyad
Published: (2022)