Automation, Machine Learning and IOT for biology
August 2015 — Present
By 2015, 19.3 million people will be affected by cancer. But are we doing our best in the lab to come up with a cure? And now, if I tell you that 60% of the results from the lab are not reproducible, what's your thought?
I would like to transform how science is done on the lab bench. This is because all the research will have downstream consequences- think how much we can trust the drugs that we are prescribed if there is a 40% chance that even scientists are not really sure why their results turn out the way it is?
With automation, experiments will be performed the same way everytime. With machine learning, results are analyzed without human bias, resulting in higher accuracy. The chance to improve research is in our hands.www.autuno.com