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Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
LungFlag
LungFlag

0 review

PREDICT Module
PREDICT Module

0 review

Categories

Solutions

Description

Product Description:

Research findings: In conjunction with researchers at Roche and the National Taiwan University Hospital and College of Medicine in Taipei, the conclusions of the study demonstrated that LungFlag™ was able to work on Taiwanese EMR data and presented superiority over criteria based selection of individuals (USPSTF) and performed better than gold standard benchmark risk model PLCOm2012 that was adapted to be used on EMR data. The results were comparable to the previous validation studies and indicates that LungFlag™ can immediately support Taiwan screening program in identifying elevated risk populations among ever-smokers and potentially also on never-smokers populations.

About Medial EarlySign:
Medial EarlySign develops an AI algorithmic platform for the discovery of clinical insights that indicate the likelihood of disease from basic medical information, such as blood test results, and other EMR data. Called AlgoMarkers, its predictive engines are built in collaboration with healthcare organizations, through the combination of 10s of millions of patient years-worth of data, clinical rigor and some of the most brilliant algorithmic minds. The company develops clinical decision support and population health solutions that can assist in the early prediction of clinical outcomes related to cancers, metabolic, immune and infectious diseases. These tools are designed to place at the fingertips of healthcare organizations only those insights that could prove critical in disease management and prevention empowering them with proactive, predictive and personalized care management capabilities
Product Description:
Allelica’s PREDICT module is a resource for clinical laboratories and healthcare providers to generate personalized PRS reports for common diseases. The end-to-end solution starts with patient genotype data generated from microarray or lcWGS technology. Users can then choose from a range of diseases to report on, including coronary artery disease, breast cancer, and Alzheimer’s disease. In just a few hours, the platform applies Allelica’s predictive analytics to calculate individual genetic risk scores for the diseases of interest. The technology accounts for a patient’s ancestry by comparing the risk scores to a distribution matched to the individual’s ancestry. The resulting report communicates the individual’s genetic risk of disease in a concise and comprehensible document.
About Allelica:

Allelica has created a secure and trusted platform for Polygenic Risk Score analysis and reporting to equip health systems and clinical laboratories with cutting-edge tools to reduce the impact of common disease through genomic medicine. 

All processes performed on the Allelica platform are fully HIPAA and GDPR-compliant. ISO 13485 and ISO 9001 certifications guarantee that Allelica applies medical device quality management processes every step of the way.

Allelica is working with leading health systems and genetics laboratories in the United States and across Europe to advance disease prevention through widened application of PRS in healthcare.

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Clients

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Use Cases

Description:

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EHR Integrations

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EMR Integration & Relevant Hardware:

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EMRs Supported:

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Hardware Compatibility:

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Integrations:

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Client Types

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Differentiators

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Keywords

Images

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Downloads

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Alternatives

Company Details

Founded in 2009

Founded in 2018

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