HSCI.5500 Human Development and Pathophysiology
The physiological steady state of the human body and disruptions that result over the life span will be examined as well as the pathophysiological mechanism manifested in disease states. The course addresses defense, compensating, and adaptive responses to the pathophysiological processes as they apply to the various systems rather than being a survey course of diseases. 3 credits.
MLSC.5510 Advanced Pathophysiology
Disease processes as appropriate and inappropriate as variants of normal physiological functions. A detailed examination of certain important and illustrative diseases rather than a survey of diseases in general. 3 credits.
Prerequisite: MS in Clinical Lab Sciences
MLSC.5530 Advanced Clinical Chemistry
This course is designed to give an in-depth understanding in clinical chemistry. Topics include: analytical techniques and the selection of methodologies. The course allows for a detailed examination and discussion of selected articles from the Journal of Clinical Chemistry. 3 credits.
Prerequisite: MS in Clinical Lab Science
MLSC.5800 Clinical Applications of Molecular Genetics
This course begins with a review of basic molecular genetics, followed by a discussion of the human genome project, including the application of its technology to the management of genetic diseases. Laboratory techniques used to analyze pre- and postnatal tissue samples is described, including RFLP-Southern blot technology, various forms of PCR, VNTR assessment, and gene expression analysis by microchip arrays. Cloning and stem cell analysis follows, including the ethical, legal, and social issues surrounding these areas. Cancer genetics and cytogenesis is presented, with emphasis on molecular changes that lead to the onset of cancer. Genetic treatments for cancer are reviewed. Gene therapy is detailed, including the historical perspective, gene therapy vectors and their mode of action, and the newest methods for treating genetic disorders at the DNA level. Structural and functional genomics follows, centering around the creation of pharmaceuticals solely based on the genetic basis of diseases. This is followed by a detailed section on epigenetics and its application to diagnosis and prediction of disease phenotypes. GWAS (Genome Wide Association Studies) is detailed as it applies to diagnosis in both individuals and entire populations. The course ends with a discussion of the human proteome project, and the human transcriptome project, including goals and objectives, current progress, and the storage of data in complex bioinformatic databases. 3 credits.
Prerequisite: CSCE Graduate Restrictions
MLSC.6130 Infectious Disease
This course is designed for graduate students in the health sciences focusing on the pathophysiology of infectious disease. Major infectious organisms will be discussed as biological models and presented in the way they affect major systems of the body. Emphasis will be placed on journal readings describing significant episodes of emerging infections and current technology in diagnosis and treatment of infectious diseases. 3 credits.
Prerequisite: HSCI 2110 and MLSC 3310 or 36.
MLSC.6150 Medical Mycology and Parasitology
This course is designed to instruct students in diagnostic medical mycology and parasitology. Diseases, specimen collection and handling, laboratory identification and treatment of medically significant fungi and parasites will be studied. Discussion of AIDS related infections and prophylactic treatment will be evaluated. Life cycles of parasites, prevention and environmental protection plans will be analyzed. 3 credits.
Prerequisite: MS in Clinical Lab Sciences
PUBH.5040 Health Data Analysis
This course focuses on the application of both descriptive and inferential statistical techniques to the analysis of health care data. Students will learn how to a) formulate research questions and hypotheses answerable through quantitative data analysis, b) use computer software (Statistical Package for The social Sciences, SPSS) and an online Probability Calculator to analyze data, and c) interpret the meaning of statistical findings. Areas covered include graphs, measurement, normal distribution, hypothesis testing, t tests, ANOVA, correlation and regression, and chi-square. Emphasis is on using weekly SPSS assignments to analyze research questions using a sample data base from the Framingham Heart Study. Prerequisite: an elementary statistics course. 3 credits.
Prerequisite: An elementary statistics course