Daniel Wai-Hung Ho

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The pathogenesis of hepatocellular carcinoma (HCC) is a multistep process involving the progressive accumulation of molecular alterations pinpointing different molecular and cellular events. The next-generation sequencing technology is facilitating the global and systematic evaluation of molecular landscapes in HCC. There is emerging evidence supporting the(More)
In this paper, we developed and tested strategies for estimating myocardial blood flow (MBF) and generating MBF parametric images using positron emission tomography (PET), N-13 ammonia, and the generalized linear least square (GLLS) method. GLLS was generalized to the general linear compartment model, modified for the correction of spillover, validated(More)
This study systematically evaluates the TCGA whole-transcriptome sequencing data of hepatocellular carcinoma (HCC) by comparing the global gene expression profiles between tumors and their corresponding nontumorous liver tissue. Based on the differential gene expression analysis, we identified a number of novel dysregulated genes, in addition to those(More)
UNLABELLED Epigenetic deregulation plays an important role in liver carcinogenesis. Using transcriptome sequencing, we examined the expression of 591 epigenetic regulators in hepatitis B-associated human hepatocellular carcinoma (HCC). We found that aberrant expression of epigenetic regulators was a common event in HCC. We further identified SETDB1 (SET(More)
BACKGROUND Colorectal carcinoma is a common disease, occurring in 1 in 20 adults in Western society, and there is a compelling need for an effective early diagnostic test. Several serum tests, including carcinoembryonic antigen have been used, but none are sufficiently sensitive for the early diagnosis of the disease. METHODS In a novel approach using(More)
The original generalized linear least squares (GLLS) algorithm was developed for non-uniformly sampled biomedical system parameter estimation using finely sampled instantaneous measurements (D. Feng, S.C. Huang, Z. Wang, D. Ho, An unbiased parametric imaging algorithm for non-uniformly sampled biomedical system parameter estimation, IEEE Trans. Med. Imag.(More)
Mice immunised with human epithelial mucin MUC1 coupled to oxidised mannan produce MUC1 specific MHC Class 1 restricted CD8(+) cytotoxic T cells and are completely protected from the development of MUC1(+) tumours; such therapy may be applicable to humans. In this light we describe pre-clinical studies in cynomolgus monkeys (Macaca fascicularis), to test(More)
Mice immunised with oxidised mannan conjugated to the human mucin 1 (MUC1), produce MHC Class 1 restricted CD8+ cytotoxic T-cells which eradicate MUC1 + tumours, indicating potential for the immunotherapy of MUC1 + cancers in humans. We now describe preclinical studies performed in cynomolgus monkeys immunised with human or murine MUC1 conjugated to(More)
  • D Ho, D Feng
  • Computer methods and programs in biomedicine
  • 1999
Two rapid estimation algorithms for construction of cerebral blood flow (CBF) and oxygen utilization (CMRO) images with dynamic positron emission tomography (PET) are presented. These algorithms are based on the linear least squares (LLS) and generalized linear least squares (GLLS) methodologies. Using the conventional two-compartmental model and multiple(More)
BACKGROUND Lung cancer (LC) is the most common fatal malignancy, but there are no useful tumor markers for diagnosis or monitoring. Mucin 1 has an established role as a marker in other malignancies, but has undergone limited assessment in LC. METHODS Serum from 86 patients with LC and 24 with benign pulmonary disease (BPD), and bronchial lavage fluid from(More)