Mary-Late Laibhen ’28 was recently accepted into the Break Through Tech’s AI Program, where she will learn the skills she ...
Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results