Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Search by expertise, name or affiliation
An Agent-Based Lattice Model for the Emergence of Anti-Microbial Resistance
R.C. Alamino
Mathematics
College of Engineering and Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An Agent-Based Lattice Model for the Emergence of Anti-Microbial Resistance'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Agent-based Model
100%
Lattice Model
84%
Resistance
71%
Culture
41%
Phenotype
40%
Genotype
39%
Reversal
38%
Machine Learning
36%
Drugs
34%
Computer Simulation
33%
Model
11%
Class
9%
Medicine & Life Sciences
Machine Learning
76%
Proxy
70%
Computer Simulation
63%
Genotype
48%
Phenotype
40%
Pharmaceutical Preparations
28%
Population
26%
Agriculture & Biology
antibiotic resistance
65%
artificial intelligence
40%
bacterial culture
37%
computer simulation
36%
death
25%
drugs
22%
phenotype
22%
genotype
20%
methodology
9%
Chemistry
Lattice Model
96%
Antimicrobial Agent
47%
Simulation
42%
Resistance
42%
Engineering & Materials Science
Machine learning
24%
Computer simulation
18%