Biomedical subjects

Phei Lang Chang

Publications and source records attributed to Phei Lang Chang.

2 recordsLinked to original sources

PubMed2005

Loupe-assisted vs microsurgical technique for modified one-layer vasovasostomy: is the microsurgery really better?

OBJECTIVES: To compare the outcome of loupe-assisted, modified one-layer vasovasostomy (MOLV) and conventional microsurgical MOLV for vasectomy reversal. PATIENTS AND METHODS: We retrospectively analysed data for 74 patients who had a MOLV between 1993 and 2003; 42 had the standard microsurgical (x10-16) MOLV (group 1, mean age 40.5 years, SD 6.3, range 30-58) and 32 a loupe-assisted (x 3) MOLV (group 2, mean age 41.3 years, SD 6, range 28-64). With general anaesthesia, each operation was performed as an outpatient procedure or with hospitalization for one night after surgery. The patients' characteristics, patency rate, paternity rate, and operative duration were compared. RESULTS: The mean (SD, range) duration of obstruction was 8.1 (5.0, 0.33-25) years in group 1 and 9.2 (4.8, 0.33-27) years in group 2. The postoperative patency and pregnancy rates were 91% and 43% for group 1 and 89% and 39% for group 2. There were no complications during or after surgery in either group, but the surgery was significantly faster for group 2. CONCLUSIONS: There was no significant difference in the patency and paternity rates between loupe-assisted and microsurgical MOLV. The surgery was significantly faster with the loupe-assisted method. Because of the shorter operation duration and less expensive instruments required that should reduce the cost, the loupe-assisted MOLV should be considered as the best choice for simple vasectomy reversal.

Adult↗

PubMed2005

Clinical bioinformatics.

Clinical bioinformatics provides biological and medical information to allow for individualized healthcare. In this review, we describe the uses of clinical bioinformatics. After the analysis of the complete human genome sequences, clinical bioinformatics enables researchers to search online biological databases and use the biological information in their medical practices. The data obtained from using microarray is extremely complicated. In clinical bioinformatics, selecting appropriate software to analyze the microarray data for medical decision making is crucial. Proteomics strategy tools usually focus on similarity searches, structure prediction, and protein modeling. In clinical bioinformatics, the proteomic data only have meaning if they are integrated with clinical data. In pharmacogenomics, clinical bioinformatics includes elaborate studies of bioinformatics tools and various facets of proteomics related to drug target identification and clinical validation. Using clinical bioinformatics, researchers apply computational and high-throughput experimental techniques to cancer research and systems biology. Meanwhile, researchers of bioinformatics and medical information have incorporated clinical bioinformatics to improve health care, using biological and medical information. Using the high volume of biological information from clinical bioinformatics will contribute to changes in practice standards in the healthcare system. We believe that clinical bioinformatics provides benefits of improving healthcare, disease prevention and health maintenance as we move toward the era of personalized medicine.

Computational Biology↗