Gastrointestinal and liver diseases remain a huge public health problem worldwide, leading to burden for patients, families, health professionals, and public health systems. Colorectal cancer is the second leading cause of cancer death worldwide and the third most diagnosed cancer, with incidence and mortality rates rapidly rising in many countries. Additional chronic gastrointestinal and liver diseases, such as chronic hepatitis B and C and, autoimmune disorders (autoimmune hepatitis, primary biliary cholangitis, primary sclerosing cholangitis) have high social and economic burden. For drug therapy to be optimal, patients should be diagnosticated early and receive the right dose of the right drug, in the right way. All these phases should be assessed with real-life data to propose adequate policies and procedures for healthcare professionals, physicians and pharmacists.
Physicians and pharmacists have complementary and supportive responsibilities in achieving the goal of providing optimal treatment and to optimize patient care. From accurate staging of cancer that are crucial for formulating precise therapeutic strategies to sharp interventions in decreasing medication errors or increasing medication adherence, all are involved in intelligent health care with personalized cost-effectiveness therapies. The goal of the present Research Topic is to highlight the importance of:
- Finding strategies for prevention and control of gastrointestinal and liver diseases.
- Identification of factors as predictors in cost-effectiveness therapies;
- Multiparametric ultrasound approach that offers a broader perspective of the examined structures in assessing multiple pathologies in gastrointestinal diseases
This current Research Topic is soliciting manuscripts addressing topics related to the diagnosis, prognosis, and treatment of gastrointestinal and liver disorders. The manuscripts could be also focused on the management of factors relating to medication adherence, quality of life assessment, perception and/or awareness of gastrointestinal and liver disorders. The rapid increase in data sample sizes in gastrointestinal and liver diseases makes machine learning the support for better decisions and early diagnosis. Thereby, studies relating to the use of artificial intelligence in the field of gastroenterology are welcome.
Gastrointestinal and liver diseases remain a huge public health problem worldwide, leading to burden for patients, families, health professionals, and public health systems. Colorectal cancer is the second leading cause of cancer death worldwide and the third most diagnosed cancer, with incidence and mortality rates rapidly rising in many countries. Additional chronic gastrointestinal and liver diseases, such as chronic hepatitis B and C and, autoimmune disorders (autoimmune hepatitis, primary biliary cholangitis, primary sclerosing cholangitis) have high social and economic burden. For drug therapy to be optimal, patients should be diagnosticated early and receive the right dose of the right drug, in the right way. All these phases should be assessed with real-life data to propose adequate policies and procedures for healthcare professionals, physicians and pharmacists.
Physicians and pharmacists have complementary and supportive responsibilities in achieving the goal of providing optimal treatment and to optimize patient care. From accurate staging of cancer that are crucial for formulating precise therapeutic strategies to sharp interventions in decreasing medication errors or increasing medication adherence, all are involved in intelligent health care with personalized cost-effectiveness therapies. The goal of the present Research Topic is to highlight the importance of:
- Finding strategies for prevention and control of gastrointestinal and liver diseases.
- Identification of factors as predictors in cost-effectiveness therapies;
- Multiparametric ultrasound approach that offers a broader perspective of the examined structures in assessing multiple pathologies in gastrointestinal diseases
This current Research Topic is soliciting manuscripts addressing topics related to the diagnosis, prognosis, and treatment of gastrointestinal and liver disorders. The manuscripts could be also focused on the management of factors relating to medication adherence, quality of life assessment, perception and/or awareness of gastrointestinal and liver disorders. The rapid increase in data sample sizes in gastrointestinal and liver diseases makes machine learning the support for better decisions and early diagnosis. Thereby, studies relating to the use of artificial intelligence in the field of gastroenterology are welcome.