- Increasing the predictive accuracy of an ML model that predicts whether using a infrared spectral signature to identify if an individual has a mosquito-related disease like malaria. eg. would be used in a scanning device to replace PCR.
- Prediction of bacterial species resistance to the antibiotic rifampicin. This would use ML to build a model with genome data and predict antibiotic resistance in certain bacterial species and whether some species are unable to evolve resistance. This data would be used in future, experimental projects.
- Improving scalability of single-cell immune repertoire analysis. Omniscope is one startup working on improving current workflows.
- Developing better statistical methods to assess diversity of immune receptors using sequencing depths or cell numbers
- Single-cell trajectory analysis with immune repertoires
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Is there a similar algo / library that people recommend to quickly just get the text?