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WORLD LEADERS IN BIOMEDICAL
NATURAL LANGUAGE PROCESSING
TECHNOLOGY 

 

Melax Tech empowers businesses, laboratories, and other life sciences organizations to use natural language processing (NLP) technology to unlock unstructured textual data. Clients use our AI-powered software to uncover insights, make decisions and research breakthroughs.

With a team whose expertise encompasses more than 20 years’ experience in developing clinical NLP technology, Melax Tech has ranked first in a dozen international NLP challenges. This award-winning software is used in computer-assisted medical coding, clinical decision support, surveillance, care quality, patient safety reporting, and client-defined projects.

TRUSTED BY

Melax Tech NLP Products

Development & Customization

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CLAMP

  • Flagship clinical NLP development platform, allowing annotation, model training, rule specification

  • Award-winning algorithms with STOA deep learning models trained on clinical corpora

  • Highly Customizable via GUIs or flexible APIs

  • Used by over 650 healthcare& life science organizations

Deployment & Integration

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MERIC

  • Cloud-based platform for quick deployment of NLP pipelines developed by CLAMP

  • Dozens of high-performance biomedical NLP pipelines to chose

  • Support major cloud platforms, including AWS, Azure, and Google Cloud Platform

  • Serverless architecture to save cost and ease implementation

  • Support both SaaS model and on-premises installation

Visualization & Application

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VITAL

  • Visualization of NLP outputs to support diverse applications such as real-world studies using EHRs

  • NLP-assisted phenotyping to identify patient cohorts and study covariates

  • Chart review function to ensure data quality  

Melax Tech NLP Use Cases

Computer-Assisted Coding

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  • Improve reimbursement rate and reduce the manual coding workload

  • Include the most recent ICD-10 and HCC codes

  • Decreases claim denials and appeals

Systematic Literature Review

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  • Discovery of biomedical knowledge from a massive scientific literature

  • Automatically learn and classify relevant document during the review process

Social Media Analysis

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  • Automated methods to help analyze and understand the prevalence and spread of misinformation on social media

  • Deliver dashboard and report to show insights in multiple dimensions