Related Experiment Video

Updated: Jun 5, 2025

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
12:24

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma

Published on: September 30, 2021

5.1K

The promise of automated liver disease risk stratification in primary care

Fredrik Åberg1, Ville Männistö2

  • 1Transplantation and Liver Surgery Unit, Helsinki University Hospital and University of Helsinki, 00029 HUS Helsinki, Finland.

The Lancet. Gastroenterology & Hepatology
|December 14, 2024
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K

Related Experiment Videos

Last Updated: Jun 5, 2025

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
12:24

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma

Published on: September 30, 2021

5.1K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K

Related Concept Videos

Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

77
Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
77
Esophageal Varices-II: Clinical Features and Management01:28

Esophageal Varices-II: Clinical Features and Management

46
Esophageal varices often manifest as gastrointestinal bleeding episodes, presenting symptoms like hematemesis (vomiting of blood), hematochezia (passing fresh blood via the rectum), and melena (black, tarry stools). Other signs can include weight loss, anorexia, abdominal discomfort, jaundice, pruritus, altered mental status, and muscle cramps.
In the initial assessment, a thorough review of the patient's medical history is vital to identify risk factors such as liver disease, alcohol...
46

Articles linked to this work by shared authors, journal, and citation graph.

Enhanced liver fibrosis score is associated with cognitive performance during an 11-year follow-up period.

Hepatology communications·2026

Patient-specific implants are accurate and cost-effective for blow-out fracture reconstruction: a retrospective case-control study.

Journal of plastic surgery and hand surgery·2026

An adipocyte-endothelial framework linking adipose tissue inflammation to cardiometabolic vulnerability in obesity.

Research square·2026

The Association Between Alcohol Intake and Incident Major Adverse Liver Outcomes Remains Stable Despite Rising Metabolic Risk.

Liver international : official journal of the International Association for the Study of the Liver·2026

Low Torque Teno Virus Load Is Associated With Fibrosis in Protocol Biopsies Following Liver Transplantation: A Nordic Multicenter Cohort Study.

APMIS : acta pathologica, microbiologica, et immunologica Scandinavica·2026

Calpeptin Reduces Extracellular Vesicle Secretion and Induces Anti-Inflammatory Effects but Upregulates HO-1 and Alters Adiponectin Levels in Human Adipocytes.

Journal of extracellular biology·2026

Updated treatment targets in inflammatory bowel disease (STRIDE-III): an initiative of the International Organization for the Study of IBD.

The lancet. Gastroenterology & hepatology·2026

Thyroid hormone receptor-β agonist simedeutirom (HSK31679) for Chinese patients with metabolic dysfunction-associated steatohepatitis: a 52-week, multicentre, randomised, double-blind, placebo-controlled, phase 2b trial.

The lancet. Gastroenterology & hepatology·2026

Strategies to develop therapeutic cancer vaccines for pancreatic cancer.

The lancet. Gastroenterology & hepatology·2026

Pain management in chronic pancreatitis: beyond opioids.

The lancet. Gastroenterology & hepatology·2026

Short-course prophylaxis with the Toronto HCV protocol for recipients of non-liver solid organ transplants from donors with hepatitis C viraemia: a retrospective, matched cohort study.

The lancet. Gastroenterology & hepatology·2026

Aspirin after curative-intent treatment of colorectal cancer liver metastases (ASAC): a multicentre, phase 3, randomised, double-blind, placebo-controlled trial.

The lancet. Gastroenterology & hepatology·2026

Development and validation of a U-Net-based deep learning model for automatic measurement of the hallux valgus angle and intermetatarsal angle.

Clinical imaging·2026

Deep learning algorithms for predicting intraoperative hypotension: A systematic review and meta-analysis.

Journal of clinical anesthesia·2026

DIAN: Device Invariant Attention Network for Chest X-ray Classification.

IEEE journal of biomedical and health informatics·2026

Deep learning-based echocardiography for cardiac assessment: a systematic literature review and meta-analysis.

European heart journal. Digital health·2026

KNOWLEDGE-GUIDED MULTI-TASK LEARNING FOR BREAST CANCER DIAGNOSIS USING LONGITUDINAL MAMMOGRAM IMAGES.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026

MEDICAL KNOWLEDGE-ENABLED MULTI-TASK LEARNING FOR GASTRIC CANCER SURVIVAL PREDICTION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies
Jove
Visualize
Contact Us