Fei-Hung Hung

• Doctor of Philosophy
• Assistant Research Fellow at Taipei Medical University

Dementia is a global public health concern. This study focuses on the genetic factors underlying dementia. We analyzed electronic medical records (EMR) from Taichung Veterans General Hospital, Taiwan, to confirm differences between dementia and non-dementia patients. This work was supported by Taipei Medical University [TMU111-AE1-B45].

Identifying Lynch syndrome significantly impacts cancer risk management, treatment, and prognosis. Validation of mutation risk predictive models for mismatch repair (MMR) genes is crucial for guiding genetic counseling and testing, particularly in the understudied Asian population. We evaluated the performance of four MMR mutation risk predictive m...

Germline (Lynch syndrome, LS) and somatic deficiencies of mismatch repair proteins (MMRd) are linked to colorectal and endometrial cancer; however, their prognostic impact in Asian populations remains unclear. This prospective cohort study aimed to determine the prevalence and outcome of germline and somatic MMRd in cancer patients suspected of LS....

Arrhythmia, a frequently encountered and life-threatening cardiac disorder, can manifest as a transient or isolated event. Traditional automatic arrhythmia detection methods have predominantly relied on QRS-wave signal detection. Contemporary research has focused on the utilization of wearable devices for continuous monitoring of heart rates and rh...

Antibodies recognize protein antigens with exquisite specificity in a complex aqueous environment, where interfacial waters are an integral part of the antibody–protein complex interfaces. In this work, we elucidate, with computational analyses, the principles governing the antibodies’ specificity and affinity towards their cognate protein antigens...

Background Risk management intentions prior to genetic counseling predict risk management uptake following genetic testing. Limited studies examined the attitude and understanding towards genetic counseling/testing in underserved countries. The purposes of this study were to explore knowledge and attitude towards genetic counseling, testing, and ri...

Mesothelin (MSLN) is an attractive candidate of targeted therapy for several cancers, and hence there are increasing needs to develop MSLN-targeting strategies for cancer therapeutics. Antibody–drug conjugates (ADCs) targeting MSLN have been demonstrated to be a viable strategy in treating MSLN-positive cancers. However, developing antibodies as ta...

Abstract Accurate estimation of carrier probabilities of cancer susceptibility gene mutations is an important part of pre-test genetic counselling. Many predictive models are available but their applicability in the Asian population is uncertain. We evaluated the performance of five BRCA mutation risk predictive models in a Chinese cohort of 647 wo...

Background and objective: Distinguishing cancer subtypes is critical for selecting the appropriate treatment strategy. Bioinformatics approaches have gradually taken the place of clinical observations and pathological experiments. However, these approaches are typically only used in gene expression profiling. Previous studies have primarily focuse...

Gene expression profiles differ in different diseases. Even if diseases are at the same stage, such diseases exhibit different gene expressions, not to mention the different subtypes at a single lesion site. Distinguishing different disease subtypes at a single lesion site is difficult. In early cases, subtypes were initially distinguished by docto...

Cell signaling pathway is an important facet of biological life. The integration of protein interaction and gene expression data is suitable to uncover the regulation of pathway. However, these methods are still confined to a partial region of large-scale genomics and whole-proteomics. In previous studies for this topic, researches usually focused...

Protein–protein interactions (PPIs) and gene expression profiles interact with each other in the regulation of a pathway. Many studies have expressed the feasibility of deriving the pathway from the PPI network or gene expression information. However, previous researches are still limited to a small region of large-scale genomics and whole-proteomi...

Biological pathways are the crucial biological mechanisms in living cells. The huge volume of genomics and proteomics data requires computational methods for predicting or reconstructing pathways. Thus, the application of protein-protein interaction (PPI) or gene expression methods is insufficient to discover meaningful pathways. The integration of...

Research on pathway has been much appealing for studying the biological biomarkers, cell mechanism, and cancer proliferation in recent years. Pathway has been typically related to human diseases for drug discovery especially for tumor-targeted therapy. Since the scanty of the knowledge about cancer-related pathways, further exploration is required....

In hospitals, computerized provider order entry (CPOE) with Clinical Decision Support System (CDSS) would decrease respectable amount of medication errors in prescribing stage. However, medication errors occur not only in prescribing stage, but also in administering stage. In this study we constructed an integrated drug information system (IDIS) fo...

In cells, protein-protein interaction (PPI) controls the biological process. For decoding mechanism of diseases, investigators attempt to predict PPI. Recently PPI is a popular subject in bioinformatics. Functional regions of compact protein structure interact with others. Nearly a lot of PPI-related tools were produced and available. Furthermore,...

Protein-protein interaction (PPI) is very important information for constructing biological pathways in this systems biology era. Recently many PPI-related databases have been created by high-throughput wet-lab methods. However, in-silico methods developed to predict PPIs are significant techniques for obtaining the whole aspect of PPI networks. Fu...

Protein-protein interaction (PPI) is an important mechanism for the cell's life. Advances on PPI information acquisitions made the prediction of PPI possible. Some high throughput experimental methods have been applied to find novel PPIs. Computational methods have been proposed for inferring PPI on the basis of known information about protein func...