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Signed in as:

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  • Advisory Services
    • Computer Vision
    • Clearing House
    • Biorepository Audit
    • AI App Dev Support
  • Enablement
    • What is Enablement
    • Biospecimens
    • Slide Preparation
    • Scanning & Imaging
    • Quality Control
    • Immunostaining
    • Bioimaging
    • Digital Pathology
    • Data Storage
    • Technology (IT/IS)
    • Spatial Biology
    • Biostatistical Analysis
  • OMNI OS
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Artificial intelligence

AI is changing everything

AI is revolutionizing pharmaceutical and diagnostic discovery and development by accelerating processes, reducing costs, and increasing precision across the value chain. 


In early-stage drug discovery, AI enables rapid target identification, molecule design, and virtual screening. 


In preclinical development, it improves toxicity prediction and optimizes pharmacokinetic profiling. For biomarker discovery and diagnostics, 


AI integrates genomic, proteomic, and imaging data to identify predictive markers and drive companion diagnostic development.


During clinical trials, AI enhances patient stratification, streamlines site and protocol design, and improves recruitment and monitoring through predictive analytics. 


In diagnostics, AI enhances image interpretation, enables liquid biopsy analysis, and supports clinical decision-making. 


Finally, in the commercial and post-market phase, AI strengthens pharmacovigilance, generates real-world evidence, and supports forecasting and payer engagement. 


Across all stages, AI’s ability to process and learn from complex data is driving more efficient, personalized, and successful therapeutic and diagnostic innovation.

OMNI Life Science Operating System

DIAGEN has developed an operating system called OMNI to bring the utility and impact of artificial intelligence to life science discovery and research. 


OMNI provides the structure, access, and technologies to supercharge your race to the clinic.


Get Started

Making and impact on Discovery and Research

Drug Discovery & Target Identification

  • De novo molecule design: Generative AI models accelerate the design of novel compounds with desirable pharmacokinetic properties.
     
  • Target identification & validation: ML models sift through omics, literature, and clinical datasets to reveal new biological targets.
     
  • Virtual screening: AI predicts binding affinities, filtering billions of molecules rapidly.
     

Preclinical Development

  • Toxicology prediction: AI models forecast safety liabilities early using in silico toxicogenomics.
     
  • ADMET profiling: Machine learning improves absorption, distribution, metabolism, excretion, and toxicity predictions before in vivo studies.
     
  • Animal model selection: AI assists in selecting the most translatable animal models based on multi-omic and phenotypic data.Our digital marketing consultants will help you develop an online presence that drives traffic and generates leads. We'll help you create a content marketing strategy, optimize your website for search engines, and develop social media campaigns.

Biomarker Discovery & Companion Diagnostics

  • Multi-modal integration: AI analyzes genomics, proteomics, imaging, and clinical data to find predictive or prognostic biomarkers.
     
  • Spatial biology & digital pathology: Vision transformers and foundation models interpret histology for biomarker patterns.
     
  • Companion Dx co-development: AI links therapeutic response with diagnostic markers more efficiently.Email marketing is still one of the most effective ways to reach your target audience. Our email marketing consultants will help you create effective email campaigns that drive conversions and build customer loyalty.

Patient Stratification & Trial Design

  • Synthetic control arms: Real-world data and AI simulate placebo/control groups to reduce trial size and duration.
     
  • Eligibility optimization: NLP and predictive models define criteria that balance safety and generalizability.
     
  • Population enrichment: AI identifies subgroups likely to respond to treatment (e.g., via genomic signatures).

Clinical Trial Operations

  • Site selection: Predictive models identify high-performing trial sites based on historical performance, demographics, and disease prevalence.
     
  • Patient recruitment & retention: AI matches patients to trials through EHR mining and digital outreach.
     
  • Monitoring & quality assurance: ML detects data anomalies, protocol deviations, and safety issues in real time.Social media is a powerful tool for building brand awareness and engaging with your target audience. Our social media consultants will help you create engaging content and develop social media campaigns that drive engagement and conversions.

Influencer Marketing

  • Digital pathology & radiology: AI detects subtle patterns in H&E slides, IHC, and radiologic scans for faster, more accurate diagnosis.
     
  • Liquid biopsy analysis: AI models analyze cfDNA, CTCs, or exosomes for early cancer detection and MRD monitoring.
     
  • Clinical decision support: LLMs and ML algorithms synthesize patient data to assist clinicians in making diagnostic calls.Influencer marketing can be a powerful way to reach new audiences and build brand credibility. Our team will help you identify the right influencers for your brand and develop campaigns that drive results.

Commercial & Post-Market Surveillance

  • Market forecasting: AI predicts uptake and competition for therapies across different regions and payers.
     
  • Pharmacovigilance: NLP and ML monitor safety signals from real-world data, social media, and adverse event reports.
     
  • Real-world evidence (RWE): AI helps derive insights from unstructured EHR and claims data to support regulatory or payer discussions.

Welcome to OMNI

OMNI is a SaaS platform that enables AI to be applied to the life sciences. With a firm foundation from which to work, AI can develop into its potential. 

Learn More

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