Mechanisms and disease consequences of nonalcoholic fatty liver disease

R Loomba, SL Friedman, GI Shulman - Cell, 2021 - cell.com
Nonalcoholic fatty liver disease (NAFLD) is the leading chronic liver disease worldwide. Its
more advanced subtype, nonalcoholic steatohepatitis (NASH), connotes progressive liver …

Hepatic fibrosis 2022: Unmet needs and a blueprint for the future

SL Friedman, M Pinzani - Hepatology, 2022 - Wiley Online Library
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 …

Innovations in genomics and big data analytics for personalized medicine and health care: A review

M Hassan, FM Awan, A Naz… - International journal of …, 2022 - mdpi.com
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 …

Mechanisms of NAFLD development and therapeutic strategies

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 …

[HTML][HTML] Limitations of non-invasive tests for assessment of liver fibrosis

K Patel, G Sebastiani - JHEP Reports, 2020 - Elsevier
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 …

Analysation of big data in smart healthcare

SZD Babu, D Pandey, GT Naidu, S Sumathi… - Artificial Intelligence on …, 2022 - Springer
Large information analytics can improve affected person outcomes, enhance and customise
care, enhance company collaborations with treatment holders and deduction the huge cost …

Big data's role in precision public health

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 …

Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma

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 in IBD: a look into the future

P Olivera, S Danese, N Jay, G Natoli… - Nature Reviews …, 2019 - nature.com
Big data methodologies, made possible with the increasing generation and availability of
digital data and enhanced analytical capabilities, have produced new insights to improve …

Artificial intelligence in precision medicine in hepatology

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 …