A Data Management Platform for Machine Learning
Proxmed, a comprehensive R&D workflow solution that standardizes and automates data curation for AI with processing and machine learning workflows, will hasten the development of your medical AI products.
Quick To Market With Streamlined Data Management
Proxmed is an extensive platform for data management for machine learning that enables you to standardize data curation and automate data preparation workflows. Use a wide selection of research data technology and expert services to help you get rid of data management inefficiencies.
Solution for AI Developers
Data Curation for AI Development Image Processing
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capture digital pathology, multi-modal imaging, and related data for in-depth analysis
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Curate and annotate data for tasks involving image processing and AI development
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Improve the quality of your data by using techniques for noise reduction, image enhancement, and artifact removal
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Workflows for data curation should be constantly assessed and improved to increase efficiency and accuracy
Machine Learning Workflow
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By using automated labeling and categorization algorithms, eliminate inefficiencies in data administration and curation
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Validate and evaluate trained models for accuracy and reliability
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Make the most of your computing power for effective training and deployment
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Enhance feature engineering and data pretreatment for better model performance
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Drive innovation by leveraging machine learning techniques in the workflow
Translational Testing
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Create reports using machine learning models to aid in healthcare decision-making and evaluation
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To validate and improve models for clinical applications, work with physicians and researchers
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Put quality control mechanisms in place to guarantee the reliability and accuracy of translational testing results
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Analyze and track how translational testing affects patient outcomes and medical procedures