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Mathematical modeling for novel cancer drug discovery and development
Ping Zhang,
Vladimir Brusic
Research output
:
Journal Publication
›
Review article
›
peer-review
22
Citations (Scopus)
Overview
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Keyphrases
Mathematical Modeling
100%
Oncology Drug Development
100%
Cancer Drug Discovery
100%
In Cancer
50%
Mathematical Model
50%
In Silico
50%
Drug Target
50%
Personalized Medicine
50%
Breast Cancer
25%
Seamless Integration
25%
Expert Opinion
25%
Cancer Treatment
25%
High-risk Population
25%
Tumor Growth
25%
Area Cover
25%
Disease Outcome
25%
Anticancer Drugs
25%
Drug Response Prediction
25%
Disease Prediction
25%
Screening Strategy
25%
Drug Discovery
25%
Cancer Diagnostics
25%
Molecular Targets
25%
Cancer Classification
25%
Therapy Optimization
25%
Combinatorial Complexity
25%
Omics Big Data
25%
Target Optimization
25%
New Drug Development
25%
In Silico Classification
25%
Strategy Prediction
25%
Outcome Optimization
25%
Promising Drug
25%
Population Screening
25%
Pre-clinical and Clinical Trials
25%
Resistance Prediction
25%
Medicine and Dentistry
Malignant Neoplasm
100%
In Silico
60%
Personalized Medicine
40%
Cancer Therapy
20%
Disease
20%
Clinical Trial
20%
Breast Cancer
20%
Immunotherapy
20%
Tumor Progression
20%
Tamsulosin
20%
Cancer Screening
20%
Anticarcinogen
20%
Cancer Diagnostics
20%
High Risk Population
20%
Pharmacology, Toxicology and Pharmaceutical Science
Malignant Neoplasm
100%
Drug Discovery
100%
Drug Development
100%
Disease
12%
Clinical Trial
12%
Breast Cancer
12%
Tumor Growth
12%
Immunotherapy
12%
Anticarcinogen
12%
Tamsulosin
12%