Biomedical researchers are overwhelmed with the volume and complexity of single-cell data and consequently, only a fraction of this insightful resource is utilized and translated into clinically-relevant knowledge and applications. Moreover, scientists, if all done correctly, can take months of intense analysis to arrive to possible biomarker insight.
Single-cell devices produce a new type of data with unprecedented depth and resolution. This single-cell data holds the answers to long-standing biological questions, and if used to its full potential, can ultimately lead to early and ultra-sensitive detection of a wide range of diseases.
Scailyte was established to build and apply Artificial Intelligence technology (i.e. Convolutional Neural Network) for the interpretation of single-cell data. We aim to unlock human’s single-cell ‘hidden secrets’ and convert highly complex data into new medical insights and usable knowledge.
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