The National Institutes of Health (NIH) is a critical pillar of the U.S. public health system and a beacon of guidance for healthcare best practices across the globe. This has never been more evident than during the COVID-19 crisis. A lesser-known NIH facet is its long and productive history of technology transfer success.
Course Description Genome engineering provides the ability to manipulate gene expression in a variety of cell types and animal models. This course will provide an overview of the current major [….]
This workshop will first cover the theory and proper applications of various neural networks (multilayer perceptrons, convolutional neural networks, long-short term memory models, autoencoders, etc.). Powerful deep learning packages, such [….]
In this workshop, learners will learn the basics of how to use R to wrangle data, create visualizations, and conduct exploratory analyses. The workshop will use the popular “tidyverse” suite [….]
This course is designed to allow researchers to quickly dive into R and make visualizations for their own work. No previous experience in R is required. AFTER THIS COURSE YOU [….]
This year, Maryland continued to prove why it’s becoming one of the strongest biohealth clusters in the country. The state’s commitment to businesses in the life science, pharmaceutical, and biotech industries has continued as both the private and public sectors work to meet the demand for more space. Here are a few of the biggest real estate projects in Maryland in 2021. Some of these projects are still under construction, while others were unveiled this year.
In this “LEARN BY DOING” class, students will enhance their understanding of: 1)What program evaluation is and why it is important 2)Program evaluation framework (e.g., stakeholder participation) 3)Methods for evaluating [….]
This two-day workshop focuses on data analytics and machine learning techniques in MATLAB® using functionality within Statistics and Machine Learning Toolbox™ and Deep Learning Toolbox™. The workshop demonstrates the use [….]
Statistical analyses are regularly required for nearly every quantitative scientific study. Although simple data analysis tools are tenable for small-scale analyses, more rigorous software can enhance analysis replicability, improve data [….]
R is a free, cross-platform – Windows, Mac, and Linux – programming language, designed specifically to facilitate data management, analysis, and visualization. Boasting vibrant development and support communities, R has [….]
