AI-guided Toxicology and Safety Testing

Artificial intelligence (AI)-guided drug toxicology and safety testing has revolutionized the traditional approach to evaluating drug candidates. Traditional toxicology and safety experiments mostly use the combination of in vivo and in vitro experiments, which is often time-consuming and laborious, with too many interference factors and large errors.

AI has powerful data processing and analysis capabilities to provide decision support for drug development by building predictive models that simplify and enhance the complex process of identifying potential harms associated with new therapeutic agents.

Toxicology and Safety Testing Process

1. Drug toxicity property data collection

The collection of historical toxicology data and clinical trial data through databases (such as PubChem, Drugbank, ChEMBL, ect.) is the basis for artificial intelligence algorithms to learn and identify patterns associated with toxicity or adverse reactions.

2. Data preprocessing

Data cleaning/integration/reduction/transform (feature extraction and engineering/feature scaling and selection)

3. Modeling methods

AI algorithms are used to build models. AI includes machine learning and deep learning.

4. Evaluate models

Compare the performance of all evaluated models.

5. Prediction

When the compound is inputted, the best model will be selected to predict toxicity properties.

6. Output result

LD5, DILI, etc.

Our Advantages

At the core of our service is the integration of advanced artificial intelligence technologies that revolutionize the approach to toxicology. By harnessing machine learning algorithms and data analytics, we are able to predict potential toxicological effects with unprecedented precision. Our AI models are trained on vast datasets of chemical properties, biological responses, and historical safety records, enabling us to forecast potential risks and identify safe thresholds for new compounds and products.

  • Advanced AI Integration

We have revolutionized traditional toxicological assessment by integrating industry-advanced AI technology to simplify the drug toxicology testing process. Our AI models are trained on large datasets of chemical and biological reactions and historical safety records, allowing us to help our clients identify potential toxicity risks in the early stages of drug development and determine safety thresholds for new compounds and products.

  • Safety profile assessment

We assess the safety profile of drugs by utilizing machine learning algorithms and data analysis to predict potential toxicological effects with unprecedented precision. We evaluated safety end points including acute toxicity, chronic toxicity, carcinogenicity, and reproductive toxicity and identified key safety issues.

  • Efficiency and cost-effectiveness

Traditional methods of toxicological testing are lengthy and expensive, requiring extensive animal testing. Our AI-driven toxicology screening platform can effectively simplify the evaluation process, significantly reduce the need for animal testing, and improve the efficiency of drug discovery.

  • Regulatory compliance

Navigating complex regulations is a daunting challenge for many companies. Our AI-guided toxicology and safety prediction models and testing protocols comply with the requirements of agencies such as FDA, EPA, and ECHA, ensuring that our clients' projects operate under global regulatory standards.

  • Tailored solutions

We understand that each customer's needs are special. Whether you are developing a new drug or checking the safety of a chemical or consumer product, we partner with you to customize a solution.

  • Expert support and insight

We have a team of toxicologists, data scientists, and regulatory professionals who are experienced not only in advanced AI-led testing, but will also guide you along the way to gain insights and support.

At Protheragen MedAI, we aim to help pharma companies and researchers better assess the drug's potential toxicity using AI to ensure only the safest and most effective compounds enter the research pipeline.

For more details or to check out our services, don't hesitate to contact us.

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