MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment

Area of Science:

• Oncology
• Biostatistics
• Bioinformatics

Background:

• Analyzing cell kill dynamics is crucial for understanding treatment efficacy.
• Current methods for analyzing survival fraction data can be complex and require specialized statistical knowledge.
• Visualizing treatment effects aids in interpreting experimental outcomes.

Purpose of the Study:

• To develop a user-friendly MATLAB-based application for analyzing and visualizing cell kill dynamics.
• To provide a tool for statistical analysis of survival fraction data from single and combined treatments.
• To enable researchers without advanced statistical expertise to easily assess treatment effects.

Main Methods:

• Development of a MATLAB application incorporating statistical analysis modules.
• Implementation of visualization tools for survival fraction data.
• Design focused on ease of use for researchers.

Main Results:

• A functional MATLAB application for analyzing cell kill dynamics was created.
• The application allows for straightforward statistical analysis and visualization of treatment effects.
• The tool simplifies the process, reducing the need for advanced statistical programming knowledge.

Conclusions:

• The developed MATLAB application effectively simplifies the analysis and visualization of cell kill dynamics.
• This tool democratizes the statistical analysis of survival fraction data in cancer research.
• The application facilitates a better understanding of single and combined treatment efficacies.