Synergistic action of immunotherapy and nanotherapy against cancer patients infected with SARS-CoV-2 and the use of artificial intelligence

Tanvi Gupta, Tilahun Ayane Debele, Yu Feng Wei, Anish Gupta, Mohd Murtaza, Wen Pin Su

研究成果: Review article同行評審

摘要

Since 2019, the SARS-CoV-2 pandemic has caused a huge chaos throughout the world and the major threat has been possessed by the immune-compromised individuals involving the cancer patients; their weakened immune response makes them vulnerable and susceptible to the virus. The oncologists as well as their patients are facing many problems for their treatment sessions as they need to postpone their surgery, chemotherapy, or radiotherapy. The approach that could be adopted especially for the cancer patients is the amalgamation of immunotherapy and nanotherapy which can reduce the burden on the healthcare at this peak time of the infection. There is also a need to predict or analyze the data of cancer patients who are at a severe risk of being exposed to an infection in order to reduce the mortality rate. The use of artificial intelligence (AI) could be incor-porated where the real time data will be available to the physicians according to the different pa-tient’s clinical characteristics and their past treatments. With this data, it will become easier for them to modify or replace the treatment to increase the efficacy against the infection. The combination of an immunotherapy and nanotherapy will be targeted to treat the cancer patients diagnosed with SARS-CoV-2 and the AI will act as icing on the cake to monitor, predict and analyze the data of the patients to improve the treatment regime for the most vulnerable patients.

原文English
文章編號213
期刊Cancers
14
發行號1
DOIs
出版狀態Published - 2022 1月 1

All Science Journal Classification (ASJC) codes

  • 腫瘤科
  • 癌症研究

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