Gupta Tanvi, Debele Tilahun Ayane, Wei Yu-Feng, Gupta Anish, Murtaza Mohd, Su Wen-Pin
Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.
Department of Biomedical, Chemical & Environmental Engineering, College of Engineering and Applied Science (CEAS), University of Cincinnati, Cincinnati, OH 45221, USA.
Cancers (Basel). 2022 Jan 2;14(1):213. doi: 10.3390/cancers14010213.
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.
自2019年以来,新型冠状病毒肺炎疫情在全球造成了巨大混乱,免疫功能低下的人群(包括癌症患者)面临着重大威胁;他们减弱的免疫反应使他们易受病毒侵害。肿瘤学家及其患者在治疗过程中面临诸多问题,因为他们需要推迟手术、化疗或放疗。尤其针对癌症患者可采用的方法是免疫疗法和纳米疗法的结合,这可以在感染高峰期减轻医疗负担。还需要预测或分析面临严重感染风险的癌症患者的数据,以降低死亡率。可以引入人工智能(AI),根据不同患者的临床特征及其既往治疗情况,为医生提供实时数据。有了这些数据,他们将更容易调整或更换治疗方案,以提高抗感染疗效。免疫疗法和纳米疗法的结合将针对诊断为新型冠状病毒肺炎的癌症患者进行治疗,而人工智能将起到锦上添花的作用,监测、预测和分析患者数据,以改善最脆弱患者的治疗方案。