This week, continuing with the theme of problems that many biotechs face at specific points in their evolution, I’ve got one that feels deceptively easy and therefore often catches teams off guard.
What about some combination of a "data lake" (with version control) and an open source dashboard application, like Shiny (https://rstudio.github.io/shinydashboard/) for building a real-time, updated dashboard?
Analyzing the Potency and Stability of Bioassays Webinar, May 9th, 11:00 a.m.EST.
Learn how to use JMP to analyze biological assays during pharmaceutical and biotechnology development to help prepare for regulatory submissions, develop standard operating procedures and maintain good manufacturing practices. See how to use build and analyze parallelism between a pair of doses and responses, estimate relative potency, determine when a drug dose or concentration reaches toxicity, determine the affinity of the enzyme to the substrate, identify the 50% dose concentration (EC50) necessary to cause half of the maximum possible effect, and determine equivalence of different formulations.
This webinar covers: Fitting non-linear models, Parallelism Tests, Relative Potency Estimates, Equivalence Tests, Inverse Prediction for EC50 and IC50, and estimating Vmax and Km.
"If we’re going to build data driven biotechs, we need to find a better way."
What better ways did you see or do you envision?
What about some combination of a "data lake" (with version control) and an open source dashboard application, like Shiny (https://rstudio.github.io/shinydashboard/) for building a real-time, updated dashboard?
Yep, there are lots of technical solutions to "display data in a table" but that's not the hard part.
There is a better way Jesse.
Analyzing the Potency and Stability of Bioassays Webinar, May 9th, 11:00 a.m.EST.
Learn how to use JMP to analyze biological assays during pharmaceutical and biotechnology development to help prepare for regulatory submissions, develop standard operating procedures and maintain good manufacturing practices. See how to use build and analyze parallelism between a pair of doses and responses, estimate relative potency, determine when a drug dose or concentration reaches toxicity, determine the affinity of the enzyme to the substrate, identify the 50% dose concentration (EC50) necessary to cause half of the maximum possible effect, and determine equivalence of different formulations.
This webinar covers: Fitting non-linear models, Parallelism Tests, Relative Potency Estimates, Equivalence Tests, Inverse Prediction for EC50 and IC50, and estimating Vmax and Km.
register here:
https://community.jmp.com/t5/Learn-JMP-Events/Analyzing-the-Potency-and-Stability-of-Bioassays/ev-p/710640