Quris
AI platform predicting drug safety in humans using bio-ML technology.
About Quris
Quris is an innovative AI-driven bio-technology platform that predicts the safety and efficacy of drug candidates in humans. It combines machine learning with 'Patients-on-a-Chip' testing—miniaturized simulations of human tissues—to generate data for classification algorithms. This approach aims to significantly reduce the high failure rate and cost of drug development by better predicting clinical outcomes before human trials. Based in Boston and Tel-Aviv, Quris teams AI with advanced biological testing methods to speed up drug discovery, minimize animal testing, and improve personalized medicine solutions. The platform leverages a hybrid approach of AI, genomics, big data, and medical device innovations, aiming to revolutionize how new drugs are developed and brought to market.
Who It's For
- •Pharmaceutical companies
- •Biotechnology firms
- •Drug discovery researchers
- •Clinical trial organizations
How It Works
- 1Utilizes miniaturized 'Patients-on-a-Chip' tests to generate biological data.
- 2Automatically tags and trains machine learning models with the tested data.
- 3Predicts drug safety and effectiveness before expensive clinical trials.
- 4Reduces reliance on animal testing and accelerates drug development timelines.
How to Use Quris
- 1Test drug candidates on the Patients-on-a-Chip system.
- 2Allow the machine learning models to analyze the collected data.
- 3Obtain predictions about the safety and efficacy of the drugs.
- 4Use these predictions to inform clinical trial decisions.
Key Features
- •Hybrid AI and bio-technology platform.
- •Patients-on-a-Chip testing system.
- •Machine learning models trained with biological data.
- •Focus on drug safety prediction and personalized medicine.
Use Cases
- •Predicting drug safety and efficacy in early development stages.
- •Reducing the failure rate of clinical trials.
- •Personalized medicine through patient-specific predictions.
- •Minimizing animal testing in drug research.
Pros & Cons
Advantages
- •Innovative hybrid approach combining AI and biological testing.
- •Reduces animal testing and accelerates drug development.
- •High potential to decrease drug failure rates and costs.
Disadvantages
- •Complex technology may require specialized expertise.
- •Currently limited to drug safety prediction, not treatment development.
- •Further validation needed for broader clinical adoption.
Alternatives
- Insilico Medicine
- Atomwise
- Enveda Biosciences
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Frequently Asked Questions
What is Quris?
Quris is an innovative AI-driven bio-technology platform that predicts the safety and efficacy of drug candidates in humans. It combines machine learning with 'Patients-on-a-Chip' testing—miniaturized simulations of human tissues—to generate data for classification algorithms.
How much does Quris cost?
Quris uses custom pricing — contact the vendor for a quote.
Is Quris free?
Quris is a paid tool and does not offer a free plan.
What are the best Quris alternatives?
Popular Quris alternatives include Insilico Medicine, Atomwise, Enveda Biosciences.
What is Quris used for?
Quris is commonly used for Predicting drug safety and efficacy in early development stages., Reducing the failure rate of clinical trials., Personalized medicine through patient-specific predictions..
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.