The broader role of AI in modern healthcare In each industry , AI is undoubtedly taking over – completing mundane and even dangerous jobs , letting the human workforce enjoy a more satisfying work role . Yerushalmi believes that the more data that ’ s collected , the better the prediction tools that the healthcare sector can work with .
“ We need to understand the power of AI and make sure it ' s handled correctly ,” says Yerushalmi . “ We need to understand that our predictions are still just models . Although the more data we have , the more we can trust our predictions , it ' s all still models – and everything needs validation eventually .”
“ The end goal is to enable AI engines to change how pharma works today ”
NOGA YERUSHALMI INVESTMENT DIRECTOR , M VENTURES
Yerushalmi feels that the biggest challenge facing AI-optimisation of antibodies and targeted therapies is simply managing it .
“ AI tools will become better and better with the more data we have , so I think the challenge is how to handle the data ,” she says . “ First , the data must be secure and anonymous , that ' s very important . Secondly , any company developing AI tools will face some work in order to standardise it and manage it . Data can be garbage as well as meaningful .”
Pharmaceutical manufacturing teamwork A big part of AION Labs are the partners who support the winning candidates , something
76 November 2022