Quris AI

Quris AI is listed as a small business research supplier in the Scientist.com network, with 2 sites in 2 countries.

Search companies, drugs, suppliers and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Sites 2

Countries 2

Type of company: Small business

Structural Chemistry Examine the relationship between protein structure and function.

Clinical In Silico Drug Dynamics The process to understand drug dynamics by computer analysis and simulation.
Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
Discovery In Silico Drug Dynamics Develop In Silico model of a drug candidate with a biological system with applications such as Pro-drug Predictions, ADME-PK Due Diligence, Brain-Barrier Permeability Simulation, Drug Absorption Simulation, In Silico...
Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.

Drug-Induced Liver Injury (DILI) Toxicity Assays Use biochemical, cell-based or in vivo assays to measure toxicity from drug-induced liver injury.

Human Organs-On-Chips Use Organs-On-Chips for target identification and validation, target-based screening, and phenotypic screening.

Cytochrome P450s Assess the inhibition or induction of the various isozymes of cytochrome P450s by drug candidates.
Drug Drug Interactions Determine whether a substance affects the activity of a drug when both are administered together.
Metabolite Identification Identify drug metabolites that are formed after administration of drug to an animal model or patient.

Hepatocyte Toxicity Assess the cytotoxic effects of pre-clinical compounds on hepatocytes purified from patients and animal models.

In Silico PK-PD Modeling Quantitative modeling and simulations correlation of pharmacokinetic and pharmacodynamic endpoints in support of preclinical and clinical development.

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Safety Pharmacology Assess the impact of a therapeutic for human use on vital organ systems before first-in-man drug testing.

Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)

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