Publications by authors named "L L Y Mak"
Full-length hepatitis B virus (HBV) transcripts of chimpanzees and patients treated with multidose (MD) HBV siRNA ARC-520 and entecavir (ETV) were characterized by single-molecule real-time (SMRT) sequencing, identifying multiple types of transcripts with the potential to encode HBx, HBsAg, HBeAg, core, and polymerase, as well as transcripts likely to be derived from dimers of dslDNA, and these differed between HBeAg-positive (HBeAg+) and HBeAg-negative (HBeAg-) individuals. HBV transcripts from the last follow-up ~30 months post-ARC-520 treatment were categorized from one HBeAg+ (one of two previously highly viremic patients that became HBeAg- upon treatment and had greatly reduced cccDNA products) and four HBeAg- patients. The previously HBeAg+ patient received a biopsy that revealed that he had 3.
View Article and Find Full Text PDFBackground: Plasma pregenomic hepatitis B virus RNA (pgRNA) is a novel biomarker in chronic hepatitis B infection (CHB). We aimed to describe the longitudinal profile of pgRNA and factors influencing its levels in CHB patients on nucleoside analogue (NUC).
Methods: Serial plasma samples from 1354 CHB patients started on first-line NUC were evaluated.
Article Synopsis
- Hepatocellular carcinoma (HCC) has a high mortality rate, and current diagnostic methods like LI-RADS often lead to indeterminate results, complicating accurate diagnosis.
- Researchers developed four deep learning models using CT scans, finding that the Spatio-Temporal 3D Convolution Network (ST3DCN) performed best, significantly outperforming standard radiological interpretation in identifying HCC.
- The ST3DCN model demonstrated strong diagnostic accuracy in both internal validation (AUCs up to 0.919) and external testing (AUC of 0.901), indicating its potential as an effective tool for HCC diagnosis.