Ongoing research suggests using big data and AI could be a gamechanging strategy for finding new drugs and increasing their chances of regulatory success . There ’ s a growing interest in using intelligent analytics tools to help make sense of the massive quantities of data collected in biotech and similar fields . Since big data can find patterns in huge groups of information much faster than humans could alone , it could pave the way for future biotech innovations .
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If we look at biological laboratory space , the digitalization has been happening much more intensely over the last two to three years
Dr Anil Koul , Vice President-Global Public Health Discovery , Johnson & Johnson
The digital labs can have different annotations . If we look at biological laboratory space , the digitalization has been happening much more intensely over the last two to three years ,” says Dr Anil Koul , Vice President- Global Public Health Discovery , Johnson & Johnson .
“ Digitalization for me is looking at data management from a discovery setup as it means that we have to be smart , efficient and create a safe environment in the lab . And at the same time it means proper resource management . I think there are several aspects to it . A lot of technologies are coming up , for example the electronic lab notebooks . Data and data archiving as well as data analysis is done through these notebooks which give access to data anywhere , helping to build datasets and analyze datasets . One can visit any data file anytime using these electronic lab notebooks . I think that ’ s the future of laboratories ,” elaborates Dr Koul .
Digitization a necessity
As per Dr Anu Singh , Chief Scientific Officer , Dabur Research Foundation , creation of smart labs and moving towards digitalization is no longer just another opportunity but rather a necessity .
“ We as scientists are actually spending a lifetime on generating data . So I think the first goal , the most important thing , is that we should not lose the research and the data that we do . Now this is something that we see very often in laboratory practices on the ground . That data in the project is generated over years sometimes and it ’ s precious . And the versions that we change , the improvements that we do in our search for new molecules , the processes that we follow , the
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The creation of smart labs and moving towards digitalization is no longer just another opportunity but rather a necessity
Dr Anu Singh , Chief Scientific Officer , Dabur Research Foundation
evolution over a period of time , very often gets lost because of the simple fact that it is stretched over a period of time . So it is likely that we need to use this electronic laboratory notebook system that is being talked about ,” says Dr Singh .
By switching to a digital lab , organizations can take one step towards being more productive and help to prevent research delays due to missing access to needed info . Automation makes it easier for lab managers to focus on more specialized tasks and responsibilities . Automated tools can take care of data entry tasks like documenting experiment hypotheses , analytical data and other metrics , freeing up your time to focus on higher order tasks at hand . Automation doesn ’ t just eliminate human error but also helps the scientists spend their valuable time and energy in the right direction and be more productive .
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