Artificial intelligence solutions to accelerate impactful data-driven cancer innovation and research: a deep dive into data challenges
The Brief examines data challenges and recommends how to resolve them to maximise the potential of AI solutions for data-driven cancer innovation and research.
![Researcher with test tubes](/sites/g/files/flghsv241/files/styles/1_6_567w_354h_n/public/2023-11/Aalto_University_CHEM_laboratory_photos_5-12-2017_photo_Mikko_Raskinen_093-2.jpg?h=41f55a5b&itok=8-o3u4RT)
By Nomi Byström & Robin Gustafsson
While artificial intelligence (AI) has the capability to revolutionise cancer research and innovation, the Achilles heel is personal information: in particular its quantity, quality, data protection and data security. The issues are so severe as to hinder the critical expansion of cancer datasets for improved computational models to develop much-needed new treatments. This Policy Brief, the outcome of IN2MISSION research project funded by Business Finland, examines from the Finnish perspective both the causes of the data challenges and the means how to solve them in order to maximise the potential of AI solutions for cancer innovation and research.
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