Advancements in Precision Medicine: Personalized Approaches in Oncology Treatment
Clicks: 15
ID: 287780
2025
Article Quality & Performance Metrics
Overall Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
0.0
/100
0 views
0 readers
AI Quality Assessment
Not analyzed
Abstract
Precision medicine in oncology aims to tailor treatment to the individual characteristics of each patient, including genetic, environmental, and lifestyle factors. This innovative approach is transforming cancer treatment by moving away from the one-size-fits-all paradigm toward personalized therapy. In recent years, advancements in genomics, bioinformatics, and molecular biology have enabled the identification of cancer-specific biomarkers, improving diagnosis, prognosis, and therapeutic outcomes. This article reviews the role of precision medicine in oncology, highlighting the significant advances in molecular profiling, targeted therapies, and immunotherapy. The integration of big data and artificial intelligence is also discussed, which aids in the creation of predictive models for patient-specific treatment plans. Despite challenges such as accessibility and cost, precision oncology holds promise for achieving better outcomes and minimizing side effects.
| Reference Key |
imported_1761385336_68fc9b783c449
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Dr. Fahad Ali |
| Journal | Pakistan Journal of Artificial Intelligence in Medical Research |
| Year | 2025 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.