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Found 3 papers, 2 papers with code
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
Drug dosing is an important application of AI, which can be formulated as a Reinforcement Learning (RL) problem.
Deep interpretability for GWAS
Genome-Wide Association Studies are typically conducted using linear models to find genetic variants associated with common diseases.
Diet Networks: Thin Parameters for Fat Genomics
It is based on the idea that we can first learn or provide a distributed representation for each input feature (e. g. for each position in the genome where variations are observed), and then learn (with another neural network called the parameter prediction network) how to map a feature's distributed representation to the vector of parameters specific to that feature in the classifier neural network (the weights which link the value of the feature to each of the hidden units).
