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WORLD LEADERS IN BIOMEDICAL
NATURAL LANGUAGE PROCESSING
TECHNOLOGY 

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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