Prioris.ai
Prioris.ai Inc. builds bespoke, interpretable, probabilistic predictive models for the pharmaceutical, biotech, and healthcare industries. They specialize in areas like safety pharmacology, toxicology, compound prioritization, assay optimization, Bayesian statistics for clinical and pre-clinical experiments, and Design of Experiments. Their approach, also known as Bayesian machine learning or probabilistic programming, excels at handling uncertainty, incorporating external scientific knowledge, creating interpretable models, and working effectively with small datasets. They have demonstrated success in predicting drug-induced liver injury (DILI) and clinical QT-interval prolongation, with their DILI model being short-listed for an AstraZeneca Science Award. Their business model likely involves services and custom model development.
Prioris.ai
Prioris.ai Inc. builds bespoke, interpretable, probabilistic predictive models for the pharmaceutical, biotech, and healthcare industries. They specialize in areas like safety pharmacology, toxicology, compound prioritization, assay optimization, Bayesian statistics for clinical and pre-clinical experiments, and Design of Experiments. Their approach, also known as Bayesian machine learning or probabilistic programming, excels at handling uncertainty, incorporating external scientific knowledge, creating interpretable models, and working effectively with small datasets. They have demonstrated success in predicting drug-induced liver injury (DILI) and clinical QT-interval prolongation, with their DILI model being short-listed for an AstraZeneca Science Award. Their business model likely involves services and custom model development.