eLabNext的动态

Transcript

It's a great energy to be around a lot of amazing tech companies that are coming out of this ecosystem, but at the end of this event we're going to have a lot of people working together, collaborating and and expanding their their business operations in the region. I'm very happy to be sharing this opportunity with multiple other incredible Smart Gate companies who are all here to be experiencing this amazing evening. New technology here is just the first step of how it sort of blends out into the community. And you know, again it getting more people involved creates more entrepreneurs, more excitement. Now are able to integrate our instruments into limp systems on things like labs. So we are very excited for for all of that. The pinpoint that we're addressing is, is how do you form multi institutional collaborations and share data and create multi institutional data sets that you can ultimately train machine learning models on. In our case, we're able to include imaging data, EHR data, genetics data and claims data under same neural network to be able to predict the progression of the diseases for the specific patient. One thing that is going to happen, human error that is uncontrollable, untractable. Another thing is basically having a bunch of data and not being able to optimally use it if you don't digitalize it. What we have focused on is bringing all the equipment and making sure that data is captured consistently and also the data is captured in a structured way so we can build better analytical tools and applications.