Healthcare
Personalized MedicineMaturity: concept
Multi-omics, clinical data and patient stratification for personalised decisions.
concept — An idea we find credible. Nothing has been built or measured.
What this is
The problem
Two patients with the same diagnosis can respond very differently to the same treatment. Stratification — predicting which patients respond — depends on combining genomic, clinical and lifestyle data that live in different systems and different formats.
Where the current approach strains
Multi-omics data is high-dimensional and, relative to that dimensionality, there are few patients. Models overfit readily, and validation cohorts are expensive and slow to assemble.
What we are exploring
Feature representation across combined modalities, aimed at the small-sample high-dimension regime rather than assuming more data will arrive.
What would have to be true
Prospective validation in an independent cohort. Retrospective stratification results are famously easy to produce and famously hard to reproduce.
Development-stage research. No clinical claims, no regulatory status.
Where it applies
Related
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Rapid Genomic Sequencing
Sequencing itself is fast and cheap now; interpretation is not. Alignment and variant calling dominate the timeline, but deciding which of thousands of variants actually matters is a knowledge problem more than a compute one. Before optimising anything we would want an end-to-end timing breakdown on a real pipeline — speeding up a stage that is not the bottleneck is a common and expensive mistake.
Advanced Medical Imaging
Image reconstruction, denoising, classification and diagnostic assistance.