Current therapies and new developments in NASH

JF Dufour, QM Anstee, E Bugianesi, S Harrison… - Gut, 2022 - gut.bmj.com
Non-alcoholic steatohepatitis is becoming the most important aetiology for advanced liver
disease. There has been important progress in the field in recent years and the complexity of …

Clinical applications of artificial intelligence—an updated overview

Ș Busnatu, AG Niculescu, A Bolocan… - Journal of clinical …, 2022 - mdpi.com
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials

BA Davison, SA Harrison, G Cotter, N Alkhouri… - Journal of …, 2020 - Elsevier
Background & Aims Liver biopsies are a critical component of pivotal studies in non-
alcoholic steatohepatitis (NASH), constituting inclusion criteria, risk stratification factors and …

[HTML][HTML] Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

D Nam, J Chapiro, V Paradis, TP Seraphin, JN Kather - Jhep Reports, 2022 - Elsevier
Clinical routine in hepatology involves the diagnosis and treatment of a wide spectrum of
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …

[PDF][PDF] A machine learning approach enables quantitative measurement of liver histology and disease monitoring in NASH

A Taylor‐Weiner, H Pokkalla, L Han, C Jia, R Huss… - …, 2021 - Wiley Online Library
Background and Aims Manual histological assessment is currently the accepted standard for
diagnosing and monitoring disease progression in NASH, but is limited by variability in …

Application of artificial intelligence for the diagnosis and treatment of liver diseases

JC Ahn, A Connell, DA Simonetto, C Hughes… - …, 2021 - Wiley Online Library
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

[HTML][HTML] Digital pathology with artificial intelligence analyses provides greater insights into treatment-induced fibrosis regression in NASH

NV Naoumov, D Brees, J Loeffler, E Chng, Y Ren… - Journal of …, 2022 - Elsevier
Background & Aims Liver fibrosis is a key prognostic determinant for clinical outcomes in
non-alcoholic steatohepatitis (NASH). Current scoring systems have limitations, especially in …

[HTML][HTML] Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy

S Dalal, EM Onyema, A Malik - World Journal of Gastroenterology, 2022 - ncbi.nlm.nih.gov
BACKGROUND Liver disease indicates any pathology that can harm or destroy the liver or
prevent it from normal functioning. The global community has recently witnessed an …

[HTML][HTML] Translating complexity and heterogeneity of pancreatic tumor: 3D in vitro to in vivo models

MA Heinrich, AMRH Mostafa, JP Morton… - Advanced drug delivery …, 2021 - Elsevier
Pancreatic ductal adenocarcinoma (PDAC) is an extremely aggressive type of cancer with
an overall survival rate of less than 7-8%, emphasizing the need for novel effective …