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    Feasibility Analysis of Cancer Trial

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    Deployed on AWS
    Machine Learning model to predict the feasibility of a Clinical Trial

    Overview

    Clinical trial is the foundation pillar of the drug discovery process. Roughly 1 in 10 of drugs tested in human subjects receive FDA approval. Given the title and summary of the clinical trial, this tool will predict if the clinical trial will be approved or not. This tool can be used in the nascent stage of the clinical trial process which can help the researchers take a better decision. This tool is trained on around 1200 approved/rejected clinical trials.

    Highlights

    • Easy-to-use model quickly determines the feasibility of a Clinical Trial.
    • Provides the most realistic scenario as it is trained on a large dataset capturing all possible patterns.

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Pricing

    Feasibility Analysis of Cancer Trial

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (52)

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    Dimension
    Description
    Cost/host/hour
    ml.m4.xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.m4.xlarge instance type, real-time mode
    $0.00
    ml.m4.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m4.xlarge instance type, batch mode
    $0.00
    ml.m4.4xlarge Inference (Real-Time)
    Model inference on the ml.m4.4xlarge instance type, real-time mode
    $0.00
    ml.m5.4xlarge Inference (Real-Time)
    Model inference on the ml.m5.4xlarge instance type, real-time mode
    $0.00
    ml.m4.16xlarge Inference (Real-Time)
    Model inference on the ml.m4.16xlarge instance type, real-time mode
    $0.00
    ml.m5.2xlarge Inference (Real-Time)
    Model inference on the ml.m5.2xlarge instance type, real-time mode
    $0.00
    ml.p3.16xlarge Inference (Real-Time)
    Model inference on the ml.p3.16xlarge instance type, real-time mode
    $0.00
    ml.m4.2xlarge Inference (Real-Time)
    Model inference on the ml.m4.2xlarge instance type, real-time mode
    $0.00
    ml.c5.2xlarge Inference (Real-Time)
    Model inference on the ml.c5.2xlarge instance type, real-time mode
    $0.00
    ml.p3.2xlarge Inference (Real-Time)
    Model inference on the ml.p3.2xlarge instance type, real-time mode
    $0.00

    Vendor refund policy

    This product is offered for free. If there are any questions, please contact us for further clarifications.

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    Usage information

     Info

    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    More info @ virtusa.com/vlife

    Additional details

    Inputs

    Summary

    Cancer Trial Feasibility Analyzer . See Notebook for additional information.

    Input MIME type
    text/csv
    See Input Summary
    See Input Summary

    Resources

    Vendor resources

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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