Publications by authors named "Wei-Liang Kuo"

Acute-on-chronic liver failure (ACLF) implies high short-term mortality rates and usually requires intensive care unit (ICU) admission. Proper prognosis for these patients is crucial for early referral for liver transplantation. The superiority of CLIF-C ACLF score in Asian patients with ACLF admitted to an ICU remains inconclusive when compared to other scoring systems.

View Article and Find Full Text PDF
Article Synopsis
  • * Out of 276 patients studied, those primarily suffering from alcohol-related cirrhosis, the CLIF-C ACLF lactate score showed superior predictive performance for mortality risk, with an AUROC value of 0.802, compared to CLIF-C ACLF (0.791) and NACSELD-ACLF (0.673).
  • * While CLIF-C ACLF lactate was the most effective scoring system
View Article and Find Full Text PDF

Caenorhabditis elegans (C. elegans) is a popular and excellent model for studies of aging due to its short lifespan. Methods for precisely measuring the physiological age of C.

View Article and Find Full Text PDF

Purpose: Hepatitis promotes the development and recurrence of hepatocellular carcinoma (HCC). Receptor tyrosine kinases (RTK) play critical roles in the development of many cancers. We explored the potential roles of RTKs in hepatitis-related liver cancers.

View Article and Find Full Text PDF

This research investigated denitrifying activity of activated sludge with three external carbon sources (sodium acetate, methanol and glucose) via a series of batch experiments. Activated sludge used was cultivated in a multiple stages enhanced biological nutrient removal (EBNR) process that exhibited high removal efficiency of effective carbon, nitrogen, and phosphorus. Results showed type of external carbon source had a significant influence on specific nitrate utilization rate, nitrite accumulation, adaptive time of microorganisms, and nitrate removal efficiency.

View Article and Find Full Text PDF

Synopsis of recent research by authors named "Wei-Liang Kuo"

  • - Wei-Liang Kuo's recent research primarily focuses on prognostic models and scoring systems for assessing mortality risks in patients with acute-on-chronic liver failure (ACLF), particularly within intensive care settings, demonstrating the necessity for improved prognostic accuracy for timely liver transplantation referrals
  • - Kuo has compared influential prognostic scores, such as CLIF-C ACLF and NACSELD-ACLF, in Asian populations to determine their predictive capabilities for one-month mortality in cirrhotic patients, highlighting uncertainties in current scoring systems
  • - In addition to liver-related research, Kuo has explored innovative methodologies like convolutional neural networks to quantify physiological aging in model organisms, as well as identified potential therapeutic targets in hepatitis-induced liver cancers, indicating a diverse range of scientific inquiry.