To design a clinical response evaluation database in response to NGS tests that are used to introduce anti-cancer drugs (chemotherapy), The following points should be considered:
The first step, creating a data center
Evaluation based on the use of artificial intelligence in providing clinical answers based on each person's genetics and their affinity with the type of cancer cell.
Entering clinical data of patients, along with information based on the structure of cancer cells (based on the results of immunohistochemistry and flow cytometry).
The entry of ethnic and genetic information of treated people for any type of cancer cell.
Morphological information on the aggressive structure of cancer cells.
Detailed information on how to administer chemotherapy drugs available in the market.
The second stage
Preparing an information bank of desired cancer diseases, including the mode of pathogenesis, the amount of disease load in malignant samples, and the timing of the metastasis cycle, etc.
Preparing a database of cancer any desired type of cells, including their structure, how to create colonies, cell stress conditions, and various models of programmed cell death.
Preparing a database of treated Iranian patients with any type of cancer and cancer cell type, along with genetic and ethnic evaluation.
The third level
Using artificial intelligence to evaluate the answers received from NGS based on data center data and introducing an effective chemotherapy drug to patients.
Author: Majid Mesgartehrani