TY - JOUR
T1 - Synergistic action of immunotherapy and nanotherapy against cancer patients infected with SARS-CoV-2 and the use of artificial intelligence
AU - Gupta, Tanvi
AU - Debele, Tilahun Ayane
AU - Wei, Yu Feng
AU - Gupta, Anish
AU - Murtaza, Mohd
AU - Su, Wen Pin
N1 - Funding Information:
Funding: The authors thank the financial support by the Ministry of Science and Technology, Taiwan (MOST 109-2314-B-006-078, 110-2314-B-006-108, 109-2314-B-006-084-MY3, and MOST 110-2321-B-006-005), and funding from National Cheng Kung University Hospital (NCKUH-11002002), from E-DA hospital (NCKUEDA11005), and from the Ministry of Health and Welfare (MOHW 110-TDU-B-212-124006) for financial support.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
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U2 - 10.3390/cancers14010213
DO - 10.3390/cancers14010213
M3 - Review article
AN - SCOPUS:85122044727
VL - 14
JO - Cancers
JF - Cancers
SN - 2072-6694
IS - 1
M1 - 213
ER -