A drug discovery AI solution from H2O.ai Health
Powered by NVIDIA GPUs and NVIDIA AI
In a healthy individual, each cell type has its own metabolic program, carrying out specific functions. This organization is disrupted in disease, either as a cause or a result of it, or both, and this disruption is reflected in the patient’s gene expression profile.
Due to its high discriminatory ability, gene expression profiling is increasingly used as a biomarker for disease, disease stage, and drug compatibility. However, strongly non-linear relationships and patient-to-patient variations place a barrier to the accuracy with which statistical methods can infer a patient’s risk. Machine learning has been proven to be more sensitive and accurate in predicting patient risk from expression biomarker data.
Expression Biomarker AI is a machine learning-powered risk and classification application. Using gene expression information in samples derived from patient biopsies, the application allows the user to:
The application supports multiple pretrained models, so the same patient can be examined for their risk for multiple diseases or response to alternative pharmaceutical interventions.