Steady progress over four decades toward understanding the pathogenesis and clinical consequences of hepatic fibrosis has led to the expectation of effective antifibrotic drugs, yet …
Big data in health care is a fast-growing field and a new paradigm that is transforming case- based studies to large-scale, data-driven research. As big data is dependent on the …
SL Friedman, BA Neuschwander-Tetri, M Rinella… - Nature medicine, 2018 - nature.com
There has been a rise in the prevalence of nonalcoholic fatty liver disease (NAFLD), paralleling a worldwide increase in diabetes and metabolic syndrome. NAFLD, a continuum …
The diagnostic assessment of liver injury is an important step in the management of patients with chronic liver disease (CLD). Although liver biopsy is the reference standard for the …
Large information analytics can improve affected person outcomes, enhance and customise care, enhance company collaborations with treatment holders and deduction the huge cost …
S Dolley - Frontiers in public health, 2018 - frontiersin.org
Precision public health is an emerging practice to more granularly predict and understand public health risks and customize treatments for more specific and homogeneous …
B Chen, L Garmire, DF Calvisi, MS Chua… - Nature Reviews …, 2020 - nature.com
Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a decade with sorafenib as the only approved treatment, multiple new agents have …
Big data methodologies, made possible with the increasing generation and availability of digital data and enhanced analytical capabilities, have produced new insights to improve …
TH Su, CH Wu, JH Kao - Journal of Gastroenterology and …, 2021 - Wiley Online Library
The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift from guideline‐specific therapy toward patient‐specific precision medicine …