CASE STUDY

Enhancing In vivo Drug Efficacy

Data types in this case study: In vivo

Use Case Highlights

The workflow below showcases the management and analysis of in vivo data using Sonrai Discovery. We utilized the data to identify the most effective treatments for tumors and assess their safety profiles. Tumor samples were collected at different stages of the study, and both imaging (IHC) and omics (RNA sequencing) data were generated to explore the mechanisms of action of the therapy combinations.

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Preclinical Phase⏩

By accelerating target identification, validation, and selection using AI insights integrated with diverse data sets.

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Increased Data Throughput ⏩

Through Sonrai’s integration capabilities across multiple data modalities and real-time processing power.

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Manual Labor Required for Data Processing⏩

Particularly relevant to automating data cleaning and standardization in tumor volume analysis.

Align Efficacy Studies with Precision Medicine

The use case below showcases a transformative solution that not only addresses the operational inefficiencies in tumor volume analysis and data management but also opens up new avenues in precision medicine. By aligning efficacy studies with precision medicine data, pharmaceutical companies are better equipped to develop more effective, targeted therapies, ultimately accelerating the path to discovery and improving patient outcomes. This breakthrough capability underscores Sonrai’s commitment to driving innovation and excellence in pharmaceutical research and development.

Pharmaceutical companies in this critical phase encounter challenges such as inefficient tumor volume analysis, often hindered by basic tools like Microsoft Excel and GraphPad Prism. Integrating diverse datasets from various Contract Research Organizations (CROs) further adds complexity, requiring accurate and consistent data management for early problem identification. There’s also a pressing need for efficient data cleaning and standardization to reduce manual labor and errors. Additionally, high-quality reporting is crucial for internal decision-making and communication with external partners, highlighting the need for a robust data management system.

The Difference Sonrai Makes

Every organization is unique, and generic solutions fall short in addressing their distinct challenges. Sonrai is purpose-built to tackle the complexities of precision medicine, offering tailor-made solutions that align with your specific needs.

Discover Predictive Biomarkers 52% Faster

Sonrai’s AI technology supports rapid biomarker identification, empowering our partner to predict optimal therapy responses through an innovative toolkit.

57% Acceleration in MoA Studies

See how Sonrai unified diverse data sources to rapidly understand complex molecular pathways, helping identify predictive biomarkers and drug mechanisms of action.

14% Reduction in Preclinical Phase

Discover how Sonrai helps pharmaceutical companies overcome challenges in Invivo Drug Efficacy with AI-powered analytics.

Step-by-Step Workflow for In Vivo Drug Efficacy

Step 1: Data Cleaning and Formatting Assessment

Sonrai Discovery eliminates the need for manual aggregation and reconciliation of data from multiple Contract Research Organizations (CROs). This process traditionally consumes days or weeks and is prone to errors. Sonrai efficiently handles diverse data formats from various CROs by uploading data to our platform, swiftly identifying and resolving complexities and inconsistencies. This significantly reduces the time and effort required for data harmonization, allowing pharmaceutical companies to progress quickly to vital data analysis and development activities.

With the Sonrai Discovery pipeline in place, the frequency of incoming CRO data becomes irrelevant. It seamlessly integrates data as it arrives in any schedule or batch, ensuring consistent and automatic processing. This streamlined approach simplifies initial data handling and establishes a robust, error-resistant workflow that accelerates drug development by overcoming traditional data integration challenges.

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24%

Error Reduction

Minimizing the need for rework and additional validation cycles, corresponding to Sonrai’s capacity to resolve data complexities and inconsistencies effectively.

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45% Reduction
Time Spent on Data Handling

Eliminating manual aggregation and swiftly handling diverse data formats from various CROs, enhancing efficiency.

Step 2: Enhanced Data Management

Utilising Sonrai Discovery, we refine data management practices to bolster the accuracy and consistency of tumor volume measurements. This enhancement is vital for promptly identifying potential issues and streamlining the entire data management process for improved outcomes. The platform’s capability extends to real-time data monitoring and analysis, providing teams with immediate access to processed data. This immediacy enables swift decision-making and facilitates a more dynamic approach to addressing potential issues as they arise. 

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Throughput of Data Analysis Operations

This allows for effectively managing more simultaneous projects or studies, aligning with the platform’s capability for real-time data monitoring and streamlined data management.

Step 3: Development of Custom Data Processing Tools

Working closely with users, Sonrai Discovery crafts a custom workflow for tumor volume analysis, featuring automated data cleaning and standardization. This personalized approach reduces analysis turnaround time and adapts efficiently to project-specific needs, demonstrating Sonrai’s commitment to flexibility and precision in data processing.

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62% Decrease

Manual Labor Required for Data Processing

Particularly relevant to automating data cleaning and standardization in tumor volume analysis.

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39% Reduction
Setup and Adaptation Time for Research

To cut setup and adaptation time for new methodologies by 40%, Sonrai crafts custom workflows that efficiently adapt to project-specific needs.

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Step 4: Advanced Variables Analysis

Sonrai Discovery’s technology enables comprehensive analysis of variables such as drug dosage, tumor growth, response data (e.g., RECIST criteria), and biomarker levels. This analysis provides a detailed view of the drug’s impact, aiding in the nuanced understanding of treatment effects.

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48% Reduction

Time Required for Complex Data Analysis

Minimizing the need for rework and additional validation cycles, corresponding to Sonrai’s capacity to resolve data complexities and inconsistencies effectively.

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33% Improvement
Predictive Accuracy of Treatment Outcomes

Through enhanced analysis of RECIST criteria and other response data. Sonrai’s advanced algorithms and data integration yield more precise predictions of drug effects, thereby supporting more informed decision-making in clinical trials.

“With Sonrai’s advanced AI-driven platform, we anticipate ongoing data handling and error reduction improvements. Their custom data processing tools have significantly streamlined our workflows, and we expect these efficiencies to grow as we expand our precision medicine initiatives.”

Step 5: Toxicity Assessment

Using Sonrai’s analytics, toxicity thresholds are established to inform optimal dosing regimens, ensuring a balance between efficacy and safety. Systematic monitoring of mouse weights offers crucial drug side effects and efficacy data. Data processing, visualisation and analysis of animal pharmacology and toxicology studies enabled rapid and effective IND applications.

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51% Reduction

Decrease Time to Data Ready for IND Submission

Minimizing the need for rework and additional validation cycles, corresponding to Sonrai’s capacity to resolve data complexities and inconsistencies effectively.

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45% Reduction
Time Spent on Data Handling

Eliminating manual aggregation and swiftly handling diverse data formats from various CROs, enhancing efficiency.

Step 6: Enhanced Reporting Capabilities

Sonrai Discovery enables the rapid generation of comprehensive reports, streamlining communication with internal teams and external partners. This feature simplifies the presentation and sharing of critical findings, enhancing collaborative efforts.

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49%

Report Costs Cut

Sonrai Discovery enables the rapid generation of comprehensive reports, streamlining communication with internal teams and external partners and simplifying the presentation and sharing of critical findings.

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Improved Efficiencies
Time Spent on Data Handling

Improved efficiency through a centralized data integration platform, enhancing the ability to safely share critical findings efficiently with both internal teams and external partners.

Results

Through Sonrai’s AI-powered analytics on in vivo imaging data from mouse models, the collaboration also achieved:

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Collaboration Time Savings

Reduced time required for collaborative processes with CROs. Sonrai enables efficiency gains through streamlined communication and data exchange, eliminating redundant exchanges and accelerating project timelines, leading to a 39% Reduction in Setup and Adaptation Time for Research.

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Tumor Volume Measurements

Sonrai’s ability to adapt to project-specific needs and advanced visualization capabilities means more accurate and consistent measurements.

 

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Decreased Manual Data Analysis

Automation and better data management significantly reduced the time staff spent on manual data sorting, cleaning, and initial analysis, leading to a 62% decrease in manual labor required for data processing.

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Increased Project Throughput

Enhanced data integration and workflow automation increased the number of projects simultaneously managed with CROs. This allows for more parallel processing and faster overall project execution.

 

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