Artificial intelligence in liver cancer—new tools for research and patient management
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] Advances in spatial transcriptomics and its applications in cancer research
Y Jin, Y Zuo, G Li, W Liu, Y Pan, T Fan, X Fu, X Yao… - Molecular Cancer, 2024 - Springer
Malignant tumors have increasing morbidity and high mortality, and their occurrence and
development is a complicate process. The development of sequencing technologies …
development is a complicate process. The development of sequencing technologies …
Neural Network Enables High Accuracy for Hepatitis B Surface Antigen Detection with a Plasmonic Platform
W Sun, J Nan, H Xu, L Wang, J Niu, J Zhang… - Nano Letters, 2024 - ACS Publications
The detection of hepatitis B surface antigen (HBsAg) is critical in diagnosing hepatitis B virus
(HBV) infection. However, existing clinical detection technologies inevitably cause certain …
(HBV) infection. However, existing clinical detection technologies inevitably cause certain …
[HTML][HTML] Key requirements for advancing machine learning approaches in single entity electrochemistry
V Shkirskiy, F Kanoufi - Current Opinion in Electrochemistry, 2024 - Elsevier
Despite the noteworthy progress in Single Entity Electrochemistry (SEE) in the last decade,
the field still must undergo further advancements to attain the requisite maturity for facilitating …
the field still must undergo further advancements to attain the requisite maturity for facilitating …
Deep learning for liver cancer histopathology image analysis: A comprehensive survey
Liver cancer is the predominant cause of cancer-related fatalities globally, wherein
Hepatocellular Carcinoma (HCC) and Intrahepatic Cholangiocarcinoma (ICC) emerge as …
Hepatocellular Carcinoma (HCC) and Intrahepatic Cholangiocarcinoma (ICC) emerge as …
BiliQML: A supervised machine-learning model to quantify biliary forms from digitized whole-slide liver histopathological images
The progress of research focused on cholangiocytes and the biliary tree during development
and following injury is hindered by limited available quantitative methodologies. Current …
and following injury is hindered by limited available quantitative methodologies. Current …
[HTML][HTML] Combined hepatocellular cholangiocarcinoma: A clinicopathological update
Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a rare primary liver cancer
associated with an appalling prognosis. The diagnosis and management of this entity have …
associated with an appalling prognosis. The diagnosis and management of this entity have …
[HTML][HTML] Combined hepatocellular-cholangiocarcinoma: from genesis to molecular pathways and therapeutic strategies
Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the most
common primary liver cancers. Little is known about the combined hepatocellular …
common primary liver cancers. Little is known about the combined hepatocellular …
Multiomics analyses decipher intricate changes in the cellular and metabolic landscape of steatotic livers upon dietary restriction and sleeve gastrectomy
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a chronic, progressive
liver disease that encompasses a spectrum of steatosis, steatohepatitis (or MASH), and …
liver disease that encompasses a spectrum of steatosis, steatohepatitis (or MASH), and …
Intelligence artificielle en hépatologie.
C Mouliade, JF Cadranel… - Hépato-Gastro & …, 2024 - search.ebscohost.com
▼ Abstract Artificial intelligence (AI) is omnipresent in our daily lives and generates
questions about its future place in medicine, in general, and in hepatology in particular …
questions about its future place in medicine, in general, and in hepatology in particular …