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What is iPhronesis?

iPhronesis is a machine learning-based, knowledge automation analytics platform for the Life Sciences and Healthcare industries...
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What does iPhronesis do?

iPhronesis integrates all aspects of research and diagnostics across databases, both structured and unstructured, and provides powerful...
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Technical & Data Information

iPhronesis supports biomedical data, ranging from genomics and proteomics, drugs, pathways, clinical lab reports and EMR/EHR records and more...
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Market Applications

Specific applications for iPhronesis include genomic apps for creating robust genomics reporting pipelines, variant pathogenicity identification...
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What ip

Knowledge Automation Engine Components


 

Data Sources

Complex disparate data sources such as publications, clinical trial information...

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Customizable Workflows

Design and deploy fully customizable workflows to match...

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Visualizations and Insights

Discovering biomedical entities and establishing relationships is at...

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Domain wrappers

A powerful combination of processes, algorithms, visualizations and insights provided...

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API Infrastructure

iPhronesis modules are RESTful providing scalability and extensibility to...

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Applications

Clinical Genomics

The iPhronesisTM platform allows clinicians, geneticists and bioinformaticians to work together seamlessly on data analysis, to develop methods and workflows using sequenced patient data.    Read more »

Use Cases

  • Cancer genomics / tumor profiling
  • Rapid patient stratification for translational research
  • Diagnostic Odyssey: identification & classification of rare variants; potential clinical diagnosis and clinical reports
  • Genotype / Phenotype Studies
  • Probability Scores
  • Identify causative mutations
  • Define relationships: text mining, interpretations, provides literature evidences
  • Predictive and prognostic reporting in minutes
  • Interactive pathway mapping
  • Accelerated biomarker and therapeutics discovery
  • Diagnosis and point of care analytics integrating EMR/HMR, publications and personal genomics
  • NGS Variants: ontologies, semantics, taxonomies
 





clinical-genomics





RWF
 

Real World Evidence (RWE)

A Real World Evidence approach is mandatory for pharma and biotech to achieve their organizational goals. iPhronesisTM gathers and automates disparate real world data to derive insights for pre-clinical research and clinical treatment applications.    Read more »

Use Cases

  • Drug Repurposing: identify new drug purposes through the integration of clinical, genomic and phenotypic information
    • Disease Signature / Gene Signature
  • Drug Discovery
    • Pathway Analysis / Structure Analysis
  • Cohort Design: Stratify patients and build cohorts in seconds and minutes
  • Protocol Design: Design new protocols and validate feasibility in seconds
  • Overall operations planning through shared dashboards with sponsors and providers in real-time
  • Smart Clinical Trial Design: speed time to market and lower costs by accelerating the entire process shedding months and years off the pipeline
  • Efficacy & Toxicity Prediction
    • EMR connectivity
    • Advanced data models
    • Advanced visualizations
  • Predictive and prognostic reporting in minutes
  • Interactive pathway mapping
  • Accelerated biomarker and therapeutics discovery
  • Diagnosis and point of care analytics integrating EMR/HMR, publications and personal genomics
  • NGS Variants: ontologies, semantics, taxonomies






Personalized / Precision Healthcare

iPhronesisTM enables the development of treatment strategies centered on the ability to predict which patients are more likely to respond to specific therapies. iPhronesis creates a holistic view of the patient, combining patient demographics and associated clinical data, along with genetic factors for associated drug metabolism, drug response and drug toxicity to establish a clinical decision support process.    Read more »

Use Cases

  • Longitudinal patient views
  • Clinical decision support system
  • Precision Medicine
  • Personalized cancer treatment
  • Regulatory compliance policy design
  • Health data predictions
 





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