Digital algorithm
Development and Clinical Validation of a Novel Algorithmic Score (GAAD) for the Detection of Early-stage Hepatocellular Carcinoma
This study aims to establish and train the algorithm coefficients, and clinically validate the performance of the GAAD algorithm in differentiating HCC and benign chronic liver…
READ MOREEarly-stage hepatocellular carcinoma screening in patients with chronic hepatitis B in China: a cost–effectiveness analysis
The Pursuit for Better Patient Outcomes – Innovating HCC Management at Siriraj Hospital
Advancing Liver Health Ecosystem for Improve Patient Outcomes: A Hong Kong Perspective
In this interview with Prof Yuen, Chief of Division of Gastroenterology and Hepatology in the University of Hong Kong, explore Hong Kong's current liver health ecosystem,…
READ MOREBiomarkers for the Early Detection of Hepatocellular Carcinoma
This review highlights promising candidate biomarkers and biomarker panels that have completed phase II evaluation for the early detection of HCC. Parikh ND, Mehta AS, Singal…
READ MORECost-effectiveness Analysis of GAAD algorithm on Hepatocellular Carcinoma Screening in Patients with Chronic Hepatitis B in China
This study evaluates the cost-effectiveness of serological tests or ultrasound alone versus their joint use with or without multivariate index algorithm for HCC screening in chronic…
READ MOREThe clinical utility of Elecsys GAAD score in the diagnosis of hepatocellular carcinoma
The performance of Elecsys® GAAD score, which includes the parameters of gender, age, alpha-fetoprotein (AFP) and protein induced by Vitamin K absence or antagonists-II (PIVKA-II) in…
READ MOREA comparative analysis of Elecsys GALAD and Elecsys GAAD score to detect early-stage hepatocellular carcinoma in an international cohort
This study compared the clinical performance of the Elecsys GALAD (gender [sex], age, alpha-fetoprotein [AFP] Lens culinaris agglutinin-reactive fraction of AFP [AFP-L3] and protein-induced by vitamin…
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