None Simhachalam Gurugubelli, None Sai Giridhar Gundepalli
{"title":"Optimizing chemotherapy protocol for diverse patient populations","authors":"None Simhachalam Gurugubelli, None Sai Giridhar Gundepalli","doi":"10.56570/jimgs.v2i2.127","DOIUrl":null,"url":null,"abstract":"
 Chemotherapy optimization for diverse patient populations is a complex and challenging task that requires a multidisciplinary and individualized approach .
 Oncology professionals need to be aware of the factors that can affect the response and toxicity of chemotherapy drugs in different patient populations and apply the best available evidence and practices to tailor chemotherapy regimens accordingly.
 Further research is needed to identify more pharmacogenetic biomarkers, develop more accurate dosing formulas, evaluate more drug interactions, and compare more toxicity profiles for chemotherapy optimization for diverse patient populations.
","PeriodicalId":315163,"journal":{"name":"Journal For International Medical Graduates","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal For International Medical Graduates","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56570/jimgs.v2i2.127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Chemotherapy optimization for diverse patient populations is a complex and challenging task that requires a multidisciplinary and individualized approach .
Oncology professionals need to be aware of the factors that can affect the response and toxicity of chemotherapy drugs in different patient populations and apply the best available evidence and practices to tailor chemotherapy regimens accordingly.
Further research is needed to identify more pharmacogenetic biomarkers, develop more accurate dosing formulas, evaluate more drug interactions, and compare more toxicity profiles for chemotherapy optimization for diverse patient populations.