Markov Biosciences
Markov Biosciences is accelerating early-stage therapeutics discovery by building scaled, interpretable biological dynamics models. Their solution involves training machine learning models on vast amounts of 'omics data to create a virtual cell. This virtual cell is then made interpretable through natural language processing, allowing researchers to simulate biology in detail, run in silico perturbation experiments with various therapeutic modalities, and analyze results. This approach aims to significantly reduce the time and cost of identifying promising drug candidates by minimizing the need for extensive wet-lab experimentation and improving the iterative design process.
Markov Biosciences
Markov Biosciences is accelerating early-stage therapeutics discovery by building scaled, interpretable biological dynamics models. Their solution involves training machine learning models on vast amounts of 'omics data to create a virtual cell. This virtual cell is then made interpretable through natural language processing, allowing researchers to simulate biology in detail, run in silico perturbation experiments with various therapeutic modalities, and analyze results. This approach aims to significantly reduce the time and cost of identifying promising drug candidates by minimizing the need for extensive wet-lab experimentation and improving the iterative design process.