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Full-Text Articles in Life Sciences
A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross
A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross
Yale Day of Data
Post-market surveillance is a collection of processes and activities used by product manufacturers and regulators, such as the U.S. Food and Drug Administration (FDA) to monitor the safety and effectiveness of medical devices once they are available for use “on the market”. These activities are designed to generate information to identify poorly performing devices and other safety problems, accurately characterize real-world device performance and clinical outcomes, and facilitate the development of new devices, or new uses for existing devices. Typically, a device is monitored by comparing adverse events in the exposed population to a matched unexposed population. This research considers …
Gelatin Diffusion Experiment, Jennifer Welborn
Gelatin Diffusion Experiment, Jennifer Welborn
Nanotechnology Teacher Summer Institutes
In this activity, nanotech participants will:
- See how food dyes and gelatin are used to model the delivery of nanoscale medicines to cells in the human body - Measure diffusion distances of 3 different colors of food dye by: Eye, photo image on a computer, ADI software (Analyzing Digital Images) Some useful websites:
- http://www.echalk.co.uk/Science/biologyContent.htm Life Processes and Cells
- http://workbench.concord.org/database/activities/321.html Molecular Workbench Database. Diffusion, osmosis, ...
Powers Of Ten: From Meters To Nanometers And Beyond, Rob Snyder
Powers Of Ten: From Meters To Nanometers And Beyond, Rob Snyder
Nanotechnology Teacher Summer Institutes
The goal of this activity is to guide students toward an understanding of nanoscale dimensions by:
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Making a number of measurements using meter sticks, magnifiers, microscopes and spectrometers so students can make observations and generate their own data.
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Using scientific notation to compare the measurements they have made with the dimensions of very small structures