Course Description: 

The Updation the pharmacological research literature review; presentations, rehearsal discussions, the research results analysis and the criticism, the information search; the summary of essential contents and ethics in the work, participation and presentation results of research.

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Course Description: 

Practicing experimental methods in pharmacology; training skills in the laboratory instrument use; the active principle the analysis; analysis of proteins and nucleic acids; the cell and tissue culture; the drug level and/or active principles determination in the blood; the animal research.

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Course Description: 

The system-level reasoning of complex biological processes; advanced omics techniques for the system pharmacology research; basic handling of big data from omic measurement; computational concepts in the biomolecular dynamics, signaling cascades, feedback regulations and biological noises.

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Course Description: 

Hands-on skills on data normalization and preprocessing; advanced computational principles for analyzing and visualizing complex high-throughput omics data from genomics, transcriptomics, and antibody-based proteomics; the dimensional reduction; network analysis; data clustering; analysis and management of clinical data.

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Course Description: 

Updated medical pharmacological research review, pharmacological topics in various therapeutic systems both during development and available in medical treatment; metabolic diseases, neurodegenerative diseases, targeted therapy, antibiotics, and gene therapy.

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Course Description: 

Updated issues in drug utilization and drug safety research, the effectiveness of drugs in each group of population, common side effects rating, rare-but-severe side effects capturing, surveillance of emerging adverse events of new marketing drugs in both short-term and long-term use of medications.

Learning Outcome(s) :  –

Course Description: 

Research topics on novel quantitative computer-aided models of biological systems and disease processes; advanced quantitative systems pharmacology approaches.

Learning Outcome(s) :  –

Course Description: 

Research topics on statistical modeling and data mining for drug design and discovery; important public pan-omic databases; computer-assisted compound screening; chemoinformatics; data mining of polypharmacology; ligand profiling and target fishing.

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Course Description: 

Current molecular cancer biology discoveries based on experimental data; oncogenes, tumor suppressors, the tumorigenesis, the metastasis, the tumor microenvironment, the cancer heterogeneity, and the precision medicine for cancer.

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Course Description: 

Knowledge in biochemistry, molecular biology and genetics in cancer; chemical compositions, structures and functions of biomolecules expressed in cancer; regulation of gene expression and epigenetic control in cancer and related cells; signal transduction in cancer and related cells; cancer microenvironment; an application of basic knowledge in clinical practices; group discussion on hot related topics.

Learning Outcome(s) :  –

Course Description: 

Comprehensive view of the stem cell biology; potential uses of stem cell in clinical practices; stem cell biology of both embryonic and adult stem cells including characteristics at cellular and molecular levels; signaling transduction; stem cell interactions with their microenvironment and their role in tissue homeostasis; basic technology involved in stem cell research; hematopoietic stem cell transplantation as a standard treatment for hematological disorders; potential uses and limitations of stem cells for the treatment of diseases other than hematological disorders; ethics in animal care and use for research; ethical issues of stem cell applications.

Learning Outcome(s) :  –