A study that looked into the effects of Artificial Intelligence and blockchain technologies on research in the life sciences sector found that nearly two-thirds of professionals in the sector (62 per cent) thought AI would lead to faster results.
The survey, published by the Pistoia Alliance also found that 89 per cent of those surveyed were aware of blockchain technology and 70 per cent believed it had the potential to help with those working, for example, in an animal research position.
The biggest barrier to wide-scale adoption of blockchain appears to be a lack of access to specialists skilled in the field, with 30 per cent of those surveyed citing it.
Other challenges found in the survey was a lack of standardisation (19 per cent) and interoperability (17 per cent) in blockchain
As well as this, whilst over half of respondents (57 per cent) noted that AI was already being used in research, 38 per cent of respondents believed algorithmic bias to be a significant barrier when it comes to the use of AI, with a further 42 per cent worried that it had the potential to be.
Algorithmic bias is where a limited amount of research data is fed into the AI algorithm to train it in what it should look for, and as a result, it magnifies the biases of the limited results it does find.
Ensuring that all data used in a lab is findable, accessible interoperable and reusable will help address some of the data quality issues highlighted in the survey.