In this editorial,we comment on the article by Zhang et al entitled Development of a machine learning-based model for predicting the risk of early postoperative recurrence of hepatocellular carcinoma.Hepatocellular ca...In this editorial,we comment on the article by Zhang et al entitled Development of a machine learning-based model for predicting the risk of early postoperative recurrence of hepatocellular carcinoma.Hepatocellular carcinoma(HCC),which is characterized by high incidence and mortality rates,remains a major global health challenge primarily due to the critical issue of postoperative recurrence.Early recurrence,defined as recurrence that occurs within 2 years posttreatment,is linked to the hidden spread of the primary tumor and significantly impacts patient survival.Traditional predictive factors,including both patient-and treatment-related factors,have limited predictive ability with respect to HCC recurrence.The integration of machine learning algorithms is fueled by the exponential growth of computational power and has revolutionized HCC research.The study by Zhang et al demonstrated the use of a groundbreaking preoperative prediction model for early postoperative HCC recurrence.Challenges persist,including sample size constraints,issues with handling data,and the need for further validation and interpretability.This study emphasizes the need for collaborative efforts,multicenter studies and comparative analyses to validate and refine the model.Overcoming these challenges and exploring innovative approaches,such as multi-omics integration,will enhance personalized oncology care.This study marks a significant stride toward precise,efficient,and personalized oncology practices,thus offering hope for improved patient outcomes in the field of HCC treatment.展开更多
The gut microbiome plays a key role in the health-disease balance in the human body.Although its composition is unique for each person and tends to remain stable throughout lifetime,it has been shown that certain bact...The gut microbiome plays a key role in the health-disease balance in the human body.Although its composition is unique for each person and tends to remain stable throughout lifetime,it has been shown that certain bacterial patterns may be determining factors in the onset of certain chronic metabolic diseases,such as type 2 diabetes mellitus(T2DM),obesity,metabolic-associated fatty liver disease(MAFLD),and metabolic syndrome.The gut-liver axis embodies the close relationship between the gut and the liver;disturbance of the normal gut microbiota,also known as dysbiosis,may lead to a cascade of mechanisms that modify the epithelial properties and facilitate bacterial translocation.Regulation of gut microbiota is fundamental to maintaining gut integrity,as well as the bile acids composition.In the present review,we summarize the current knowledge regarding the microbiota,bile acids composition and their association with MAFLD,obesity,T2DM and metabolic syndrome.展开更多
文摘In this editorial,we comment on the article by Zhang et al entitled Development of a machine learning-based model for predicting the risk of early postoperative recurrence of hepatocellular carcinoma.Hepatocellular carcinoma(HCC),which is characterized by high incidence and mortality rates,remains a major global health challenge primarily due to the critical issue of postoperative recurrence.Early recurrence,defined as recurrence that occurs within 2 years posttreatment,is linked to the hidden spread of the primary tumor and significantly impacts patient survival.Traditional predictive factors,including both patient-and treatment-related factors,have limited predictive ability with respect to HCC recurrence.The integration of machine learning algorithms is fueled by the exponential growth of computational power and has revolutionized HCC research.The study by Zhang et al demonstrated the use of a groundbreaking preoperative prediction model for early postoperative HCC recurrence.Challenges persist,including sample size constraints,issues with handling data,and the need for further validation and interpretability.This study emphasizes the need for collaborative efforts,multicenter studies and comparative analyses to validate and refine the model.Overcoming these challenges and exploring innovative approaches,such as multi-omics integration,will enhance personalized oncology care.This study marks a significant stride toward precise,efficient,and personalized oncology practices,thus offering hope for improved patient outcomes in the field of HCC treatment.
文摘The gut microbiome plays a key role in the health-disease balance in the human body.Although its composition is unique for each person and tends to remain stable throughout lifetime,it has been shown that certain bacterial patterns may be determining factors in the onset of certain chronic metabolic diseases,such as type 2 diabetes mellitus(T2DM),obesity,metabolic-associated fatty liver disease(MAFLD),and metabolic syndrome.The gut-liver axis embodies the close relationship between the gut and the liver;disturbance of the normal gut microbiota,also known as dysbiosis,may lead to a cascade of mechanisms that modify the epithelial properties and facilitate bacterial translocation.Regulation of gut microbiota is fundamental to maintaining gut integrity,as well as the bile acids composition.In the present review,we summarize the current knowledge regarding the microbiota,bile acids composition and their association with MAFLD,obesity,T2DM and metabolic syndrome.
