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This specialization focuses on the importance of studying sex differences and Sex as a Biological Variable (SABV). The first course addresses the gaps in understanding of physiology that resulted from research conducted only on males. The other two courses drill down into methodological questions relevant to basic science, animal, and human studies. Learning content includes a range of topics from research recruitment to accounting for hormone effects, from working with statistics to exploring machine learning in scientific research. We would like to acknowledge Richard N. Brown and his family, with many thanks, for supporting the development of this curriculum.

Syllabus

Course 1: The Importance & Challenges of Considering SABV in Research
Course 2: Experimental Design Considerations in SABV Research
Course 3: Statistics, Bioinformatics, and AI in SABV Research

Courses

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This course addresses genetic research as well as SABV across stages of life. You’ll learn from experts about the following: the translational relationship between bench and bedside, how cellular/molecular studies provide mechanistic understanding for clinical and animal science, when and why sex as a biological variable should be considered in genetics research how sex as a biological variable should be addressed across the lifespan, how to study stress in animal models and translational research, how sex differences influence the brain. This course is the second of three courses in the Specialization: Sex as a Biological Variable in the Conduct of Research. Experts: Jane Reusch, MD, University of Colorado Anschutz Rebecca Scalzo, PhD, University of Colorado Anschutz Barbara Stranger, PhD, University of Colorado Anschutz Karen Reue, PhD, UCLA Laura Brown, MD, University of Colorado Anschutz Wendy Kohrt, PhD, University of Colorado Anschutz Tracy Bale, PhD, University of Colorado Anschutz Kerrie Moreau, PhD, University of Colorado Anschutz C. Neill Epperson, MD, University of Colorado Anschutz
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This course addresses statistics, bioinformatics, and machine learning/artificial intelligence in the study of sex differences and SABV research. You'll learn from experts about the following: addressing common statistical errors, describing challenges related to the measurement of peri and postmenopausal women in research, considering methods to control for hormones in research, identifying preclinical models to answer questions regarding sex differences, illustrating the latest uses of machine learning and artificial intelligence. This course is the third of three courses in the Specialization: Sex as a Biological Variable in the Conduct of Research. Experts: Nannette Santoro, MD, University of Colorado Anschutz Kerrie Moreau, PhD, University of Colorado Anschutz Nancy Lane, MD, UC Davis Nina Stachenfeld, PhD, Yale School of Medicine Janet Rich Edwards, ScD, MPH, Harvard University Audrey Hendricks, PhD, University of Colorado Anschutz Carolyn Mazure, PhD, Yale School of Medicine
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This course introduces the history, challenges, and methodological considerations for the scientific study of sex differences and Sex As a Biological Variable (SABV). You’ll learn about the following: historical challenges in the study of sex differences, key terms in SABV research, how sex differences can influence clinical treatments, methodologies in animal models for SABV research, environmental impacts on sex differences, challenges and solutions for recruiting women for scientific studies. This course is the first of three courses in the Specialization: Sex as a Biological Variable in the Conduct of Research. Experts: Judy Regensteiner, PhD, University of Colorado Anschutz Nanette Wenger, MD, Emory School of Medicine C. Noel Bairey Merz, MD, Cedars-Sinai Medical Center Amy Huebschmann, MD,University of Colorado Anschutz Jane Reusch, MD, University of Colorado Anschutz Sarah Lindsey, PhD, Tulane School of Medicine Molly Hyer, PhD, Virginia Commonwealth University