Education Courses

Saturday, April 27, 2019
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Education Courses

Separate registration is required for all Education Courses. Preliminary information about each course is listed below for your reference. 

Full-day courses

Artificial intelligence – from benchtop to bedside

8am – 4:30pm

Artificial Intelligence, (AI) including  machine learning,  is the latest innovation in information technology. The use of AI for improving healthcare outcomes already shows promise. This course will help participants define what AI is, describe applications of AI in research/development, explain the tools behind AI, and explore the future of AI. This activity's overall purpose is to ensure change in learner competence by providing an overview, explaining the principles of use, demonstrating examples of applications, exploring future directions and considering ethical principles. Panel discussions will enable discussion of these topics between the audience and presenters.

For those who are interested to embark on the AI research journey, this course serves as an excellent platform for the audience to learn from the basics. For those who are more familiar with the subjects, this course offers the opportunity to discuss what is the best way forward to use this ground-breaking technology in the lab and in the clinic. For those who are interested in simply understanding the growing impact of AI on clinical practice and on the world in general, this course will provide a comprehensive overview of the field.

After attending this educational course, the participant will be able to:

  • Define AI and related methodologies
  • Describe the underlying principles of AI
  • State examples of application of AI in research and medical technology
  • Summarize challenges associated with AI
  • Discuss the potential future of AI

Diabetic retinopathy: What’s new

8am – 4:30pm

This course will bring together clinicians and basic scientists in the field to address various aspects of diabetic retinopathy including systemic factors, genetic associations, molecular mechanisms, cell-cell interactions and novel imaging and drug delivery techniques. The course will provide an outstanding platform for the vision community to have a balanced discussion of the experimental and clinical aspects of diabetic retinopathy. The content of this course is suitable for junior researchers seeking a foundational overview of the study and treatment of diabetic retinopathy and more seasoned basic and clinician scientists seeking to learn what is new in this area of research.

After attending this educational course, the participant will be able to:

  • Recognize the molecular mechanisms of diabetic retinopathy and experimental models
  • Describe the role of microbiome and diagnostic studies in DR
  • Review the systemic factors and genetics, and major clinical trials
  • Manage DR patients based on an approach combining control of systemic factors, laser therapy, pharmacotherapy (anti-VEGF and steroids), and surgical therapies
  • Communicate updates related to novel therapies and drugs in the pipeline

Applying electrophysiological techniques to translational vision research

8am – 4:30pm

With the advent of new therapies for blinding diseases involving the retina and optic nerve, there is an increasing need for functional outcome measurements that can be made in animal models and human clinical trials. The electroretinogram and visual evoked potential are translatable techniques that fit this purpose. This course will discuss the use of the electrophysiologic techniques in the understanding of retinal dystrophies, acquired retinal diseases, glaucoma and optic nerve diseases. It will include discussions about cellular origins, animal models and clinical research applications. Attendees will leave the course with a better understanding of how to use electrophysiological techniques in their research to characterize the effects of disease and therapeutic intervention on the visual pathways.

The content of this course is suitable for basic and clinician scientists who are new to the use of electrophysiological techniques.

After attending this educational course, the participant will be able to:

  • Incorporate electrophysiological measures into their research
  • Discuss the cellular origins of the responses and their relation to structural and other functional measures of retinal and optic nerve function
  • Incorporate international standards for recording and interpreting electrophysiologic signals into translational and clinical research

Half-day courses

Ocular immunology: Fundamentals, disease entities, and future therapeutic opportunities

8:00am – 12:30pm

This course will introduce the principles of immunology and immunological privilege as it pertains to eye physiology and disease. Key aspects to be covered include cellular and molecular factors that maintain immune homeostasis in different ocular compartments and how the breakdown of these pathways gives rise to disease etiologies, such as infection, allergy, alloimmunity, autoimmunity, and aging. The basics of immune modulation and immune-based targeted therapies will be also discussed. The overall goal of this course is to improve learner competence in ocular immunology by reviewing and discussing the fundamentals of immunology and key aspects of the ocular immune response in the context of immune/inflammatory conditions such as infection, transplantation, and autoimmunity.

The content of this course is suitable for basic and clinician scientists new to the study of ocular immunology.

After attending this educational course, the participant will be able to:

  • Describe the components of the immune system and immunologic privilege as it pertains to the eye
  • Discuss key cellular and molecular factors driving pathology in ocular immune/inflammatory conditions
  • Identify current areas of research on immune modulation and future opportunities for targeted immune-based therapies

Statistical methods for correlated eye data

8:00am – 12:00pm

A diverse set of statistical methods for correlated eye data will be presented and explored. Course faculty will identify research study designs that require the use of these methods, review the underlying models and accompanying assumptions, and contrast the implications of having the two eyes in different comparison groups versus having both eyes in the same group. Methods for continuous and binary data, with and without covariates, and for cross-sectional and longitudinal study designs will be applied to different datasets and the interpretation of results discussed. Code to implement each example in SAS, Stata, and R statistical software will be provided in course handouts.

Clinical and basic researchers who need to analyze data from both eyes of study subjects or animals will benefit from taking this advanced level course. Prerequisite: Attendees should be familiar with basic statistical analysis techniques, including linear and logistic regression analysis.

After attending this course, participants will be able to:

  • Recognize research study designs that require statistical methods for correlated eye data
  • Perform comparisons of groups when the two eyes of an individual are in different groups (or the same group) using simple methods that do not accommodate covariates and more complex model-based methods that do accommodate covariates
  • Interpret the results of statistical analyses for correlated eye data