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In today’s world, mental illness and distress are common and these account for a significant burden of disability within our community. At the same time, there is a growing interest in understanding and enhancing positive mental health and wellbeing; particularly from developments in the fields of positive psychology and mental health promotion. Positive Psychiatry is a new term (Jeste et al 2016) that describes a dual approach to mental health, where we build strengths, supports and healthy lifestyles as well as treating illness and distress. In this course, we will explore different aspects of good mental health as well as provide an overview of the major kinds of mental disorders, their causes, treatments and how to seek help and support. The course will feature a large number of Australian experts in psychiatry, psychology and mental health research, and we will also hear from “lived experience experts”, people who have lived with mental illness, and share their personal stories of recovery. We take an evidence-based approach to a range of strategies that anyone can use to enhance their own mental health and that of others, from exercise and relaxation techniques through to the role of love, relationships and 'good' types of work. We cover topics from creativity and yoga through to psychiatric medications and psychotherapies.
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    In this course, students learn to recognize and to apply the basic concepts that govern integrated body function (as an intact organism) in the body's nine organ systems.
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      Over 500,000 people in the United States and over 8 million people worldwide are dying every year from cancer. As people live longer, the incidence of cancer is rising worldwide and the disease is expected to strike over 20 million people annually by 2030. This open course is designed for people who would like to develop an understanding of cancer and how it is prevented, diagnosed, and treated. The course introduces the molecular biology of cancer (oncogenes and tumor suppressor genes) as well as the biologic hallmarks of cancer. The course also describes the risk factors for the major cancers worldwide, including lung cancer, breast cancer, colon cancer, prostate cancer, liver cancer, and stomach cancer. We explain how cancer is staged, the major ways cancer is found by imaging, and how the major cancers are treated. In addition to the core materials, this course includes two Honors lessons devoted to cancers of the liver and prostate. Upon successful completion of this course, you will be able to: - Identify the major types of cancer worldwide. (Lecture 1) - Describe how genes contribute to the risk and growth of cancer. (Lecture 2) - List and describe the ten cellular hallmarks of cancer. (Lecture 3) - Define metastasis, and identify the major steps in the metastatic process. (Lecture 4) - Describe the role of imaging in the screening, diagnosis, staging, and treatments of cancer. (Lecture 5) - Explain how cancer is treated. (Lecture 6) We hope that this course gives you a basic understanding of cancer biology and treatment. The course is not designed for patients seeking treatment guidance – but it can help you understand how cancer develops and provides a framework for understanding cancer diagnosis and treatment.
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        Learn how the nervous system produces behavior, how we use our brain every day, and how neuroscience can explain the common problems afflicting people today. We will study functional human neuroanatomy and neuronal communication, and then use this information to understand how we perceive the outside world, move our bodies voluntarily, stay alive, and play well with others.
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          Course 1 of a three course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material. This is the first leg of a three-part journey through the defenses your body uses to keep you healthy. In this part we hope to give you the vocabulary and concepts you need to interact with the medical community and to provide them in a context that makes them memorable. Fundamentals of Immunology introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues and organs using metaphors, cartoons and models to improve understanding and retention. After describing the form, function, origin and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawing and photographs used in lecture and reproduced in the outline. What You’ll Learn: The difference between adaptive and innate immune systems, the characteristics of various pathogens that they protect you from and the overall strategies employed in this protection. The detailed structure of antibodies and related immunoglobulin receptors, the characteristics and function of the different antibody classes and the mechanism for producing both the recognition regions and stem regions.  Finally, how these structures are coded for in the DNA and expressed in the B cells.
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            This course teaches scientists to become more effective writers, using practical examples and exercises. Topics include: principles of good writing, tricks for writing faster and with less anxiety, the format of a scientific manuscript, peer review, grant writing, ethical issues in scientific publication, and writing for general audiences.
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              An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory (http://labs.icahn.mssm.edu/maayanlab/) from the Icahn School of Medicine at Mount Sinai, but also other freely available data analysis and visualization tools. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology.
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                The course will explore the tone combinations that humans consider consonant or dissonant, the scales we use, and the emotions music elicits, all of which provide a rich set of data for exploring music and auditory aesthetics in a biological framework. Analyses of speech and musical databases are consistent with the idea that the chromatic scale (the set of tones used by humans to create music), consonance and dissonance, worldwide preferences for a few dozen scales from the billions that are possible, and the emotions elicited by music in different cultures all stem from the relative similarity of musical tonalities and the characteristics of voiced (tonal) speech. Like the phenomenology of visual perception, these aspects of auditory perception appear to have arisen from the need to contend with sensory stimuli that are inherently unable to specify their physical sources, leading to the evolution of a common strategy to deal with this fundamental challenge.
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                  The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more. These perturbations are applied to various types of human cells including induced pluripotent stem cells from patients, differentiated into various lineages such as neurons or cardiomyocytes. Then, to better understand the molecular networks that are affected by these perturbations, changes in level of many different variables are measured including: mRNAs, proteins, and metabolites, as well as cellular phenotypic changes such as changes in cell morphology. The BD2K-LINCS Data Coordination and Integration Center (DCIC) is commissioned to organize, analyze, visualize and integrate this data with other publicly available relevant resources. In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.
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                    Learners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training. You will explore a number of significant adjustments required by your body in order to properly respond to the physical stress of exercise, including changes in carbohydrate, fat and protein metabolism, nutritional considerations, causes of muscle soreness & fatigue, and the effectiveness and dangers of performance enhancing drugs. Active learning assessments will challenge you to apply this new knowledge via nutrition logs, heart rate monitoring, calculations of your total daily caloric expenditure and body mass index (BMI). Finally, learners will examine the scientific evidence for the health benefits of exercise including the prevention and treatment of heart disease, diabetes, cancer, obesity (weight loss), depression, and dementia.