Synergistic Action of Immunotherapy and Nanotherapy against Cancer Patients Infected with SARS-CoV-2 and the Use of
Tanvi Gupta1, Tilahun Ayane Debele2, Yu-Feng Wei3
1Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.
Abstract:
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 incorporated where the real time data will be available to the physicians according to the different patient'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.
Insights
Cancer patients, vulnerable to SARS-CoV-2, face treatment delays. Combining immunotherapy, nanotherapy, and artificial intelligence (AI) offers a potential solution to improve care and reduce mortality risks for these high-risk individuals.
Area of Science:
- Oncology
- Infectious Diseases
- Nanotechnology
- Artificial Intelligence
Background:
- The SARS-CoV-2 pandemic poses a significant threat to immune-compromised individuals, particularly cancer patients, due to their weakened immune systems.
- Cancer patients face treatment disruptions, including postponed surgeries, chemotherapy, and radiotherapy, impacting their overall care and outcomes.
- Vulnerable populations, like cancer patients, require specialized strategies to mitigate severe infection risks and mortality during the pandemic.
Purpose of the Study:
- To propose a novel therapeutic approach for cancer patients co-infected with SARS-CoV-2.
- To explore the integration of immunotherapy and nanotherapy for enhanced treatment efficacy.
- To investigate the role of artificial intelligence (AI) in managing and predicting outcomes for high-risk cancer patients during the pandemic.
Main Methods:
- Amalgamation of immunotherapy and nanotherapy as a targeted treatment strategy.
- Utilization of artificial intelligence (AI) for real-time data analysis of patient clinical characteristics and treatment history.
- Predictive modeling using AI to identify high-risk cancer patients susceptible to severe SARS-CoV-2 infection.
Main Results:
- The proposed combined therapy aims to reduce the healthcare burden during peak infection times.
- AI integration facilitates personalized treatment modifications for improved efficacy against SARS-CoV-2 in cancer patients.
- Data-driven insights from AI can help optimize treatment regimes for the most vulnerable patient cohorts.
Conclusions:
- The combination of immunotherapy and nanotherapy presents a promising approach for treating cancer patients with SARS-CoV-2.
- Artificial intelligence is crucial for monitoring, predicting, and analyzing patient data to enhance treatment strategies.
- This integrated approach can improve outcomes and reduce mortality rates among cancer patients affected by the pandemic.
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