AIMC Topic: Liver
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Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis.
World journal of gastroenterology
Apr 28, 2025
BACKGROUND: Hepatic fibrosis (HF) represents a pivotal stage in the progression and potential reversal of cirrhosis, underscoring the importance of early identification and therapeutic intervention to modulate disease trajectory.
A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.
Nucleic acids research
Mar 20, 2025
Species-specific differences in protein translation can affect the design of protein-based drugs. Consequently, efficient expression of recombinant proteins often requires codon optimization. Publicly available optimization tools do not always result...
Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study.
World journal of gastroenterology
Mar 7, 2025
BACKGROUND: The global prevalence of non-alcoholic steatohepatitis (NASH) and its associated risk of adverse outcomes, particularly in patients with advanced liver fibrosis, underscores the importance of early and accurate diagnosis.
Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model.
International journal of nanomedicine
Jan 1, 2025
BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challenges such as graft dysfunction due to factors like ischemia-reperfusion (IR) injury, which can lead to significant cellular damage and systemic complic...
Deep learning reconstruction of free-breathing, diffusion-weighted imaging of the liver: A comparison with conventional free-breathing acquisition.
PloS one
Jan 1, 2025
This study aimed to compare image quality and solid focal liver lesion (FLL) assessments between free-breathing, diffusion-weighted imaging using deep learning reconstruction (FB-DL-DWI) and conventional DWI (FB-C-DWI) in patients undergoing clinical...
Reported liver toxicity of food chemicals in rats extrapolated to humans using virtual human-to-rat hepatic concentration ratios generated by pharmacokinetic modeling with machine learning-derived parameters.
The Journal of toxicological sciences
Jan 1, 2025
Pharmacokinetic data are not generally available for evaluating the toxicological potential of food chemicals. A simplified physiologically based pharmacokinetic (PBPK) model has been established to evaluate internal exposures to chemicals in rats or...
Machine Learning Reveals the Contribution of Lipoproteins to Liver Triglyceride Content and Inflammation.
The Journal of clinical endocrinology and metabolism
Dec 18, 2024
CONTEXT: Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most common chronic liver disease worldwide and is strongly associated with metabolic comorbidities, including dyslipidemia.
Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence.
The Journal of international medical research
Sep 1, 2024
Liver vessel segmentation from routinely performed medical imaging is a useful tool for diagnosis, treatment planning and delivery, and prognosis evaluation for many diseases, particularly liver cancer. A precise representation of liver anatomy is cr...
The Recurrent U-Net for Needle Segmentation in Ultrasound Image-Guided Surgery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
In minimally invasive surgery, poor needle visualization under ultrasound has been one of the challenges of the surgery. To improve the resulting puncture error, it is effective to use deep learning from the image level to assist the surgeon in locat...
Enhancing diagnostic precision in liver lesion analysis using a deep learning-based system: opportunities and challenges.
Nature reviews. Clinical oncology
Jul 1, 2024
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