Precision treatment in advanced hepatocellular carcinoma
X Yang, C Yang, S Zhang, H Geng, AX Zhu… - Cancer Cell, 2024 - cell.com
The past decade has witnessed significant advances in the systemic treatment of advanced
hepatocellular carcinoma (HCC). Nevertheless, the newly developed treatment strategies …
hepatocellular carcinoma (HCC). Nevertheless, the newly developed treatment strategies …
A guide to artificial intelligence for cancer researchers
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …
a readily accessible tool for cancer researchers. AI-based tools can boost research …
APASL clinical practice guidelines on systemic therapy for hepatocellular carcinoma-2024
G Lau, S Obi, J Zhou, R Tateishi, S Qin, H Zhao… - Hepatology …, 2024 - Springer
Abstract In Asia–Pacific region, hepatocellular carcinoma is a serious health threat
attributing to over 600,000 deaths each year and account for over 70% of global cases …
attributing to over 600,000 deaths each year and account for over 70% of global cases …
[HTML][HTML] Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024
Artificial Intelligence (AI) methods enable humans to analyze large amounts of data, which
would otherwise not be feasibly quantifiable. This is especially true for unstructured visual …
would otherwise not be feasibly quantifiable. This is especially true for unstructured visual …
Challenges and Opportunities in the Clinical Translation of High-Resolution Spatial Transcriptomics
TM Pentimalli, N Karaiskos… - Annual Review of …, 2024 - annualreviews.org
Pathology has always been fueled by technological advances. Histology powered the study
of tissue architecture at single-cell resolution and remains a cornerstone of clinical …
of tissue architecture at single-cell resolution and remains a cornerstone of clinical …
Hepatocellular carcinoma immune microenvironment analysis: A comprehensive assessment with computational and classical pathology
Purpose: The spatial variability and clinical relevance of the tumor immune
microenvironment (TIME) are still poorly understood for hepatocellular carcinoma (HCC). In …
microenvironment (TIME) are still poorly understood for hepatocellular carcinoma (HCC). In …
Deep learning‐based accurate diagnosis and quantitative evaluation of microvascular invasion in hepatocellular carcinoma on whole‐slide histopathology images
Background Microvascular invasion (MVI) is an independent prognostic factor that is
associated with early recurrence and poor survival after resection of hepatocellular …
associated with early recurrence and poor survival after resection of hepatocellular …
Artificial intelligence in liver cancer—new tools for research and patient management
J Calderaro, L Žigutytė, D Truhn, A Jaffe… - Nature Reviews …, 2024 - nature.com
Liver cancer has high incidence and mortality globally. Artificial intelligence (AI) has
advanced rapidly, influencing cancer care. AI systems are already approved for clinical use …
advanced rapidly, influencing cancer care. AI systems are already approved for clinical use …
[HTML][HTML] Diagnostics and omics technologies for the detection and prediction of metabolic dysfunction-associated steatotic liver disease-related malignancies
T Lan, F Tacke - Metabolism, 2024 - Elsevier
The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD)
continues to rise, making it the leading etiology of chronic liver diseases and a prime cause …
continues to rise, making it the leading etiology of chronic liver diseases and a prime cause …
From research to reality: The role of artificial intelligence applications in HCC care
Deep learning (DL) refers to the use of deep artificial neural networks to analyze complex
data. DL is the most widely used artificial intelligence (AI) method and is increasingly …
data. DL is the most widely used artificial intelligence (AI) method and is increasingly …