Biobanks - A Source of Large Biological Data Sets: Open Problems and Future Challenges

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What do we need to build explainable AI systems for the medical domain? (2017, background): “Moreover, it is necessary to narrow down the gap between genotype and phenotype as well as providing additional information regarding biomarker research and drug discovery, where biobanks (Huppertz and Holzinger, 2014) play an increasingly important role.”
State-of-the-Art and Future Challenges in the Integration of Biobank Catalogues (2015, background): “Current research highlights the need for interactive data visualization of biobank catalogues, while first approaches of visualization are already emerging [2, 3].”
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology (2017, background): “…due to some general diﬀerences between those two ﬁelds: In radiology the image is primarily captured in digital format, whilst in pathology the scanning is done from preserved and processed specimens, for retrospective studies even from slides stored in biobanks (Huppertz and Holzinger, 2014).”