Clinical Investigational Lab banner

  • High sensitivity quantitative SARS-CoV-2 RT-PCR testing
  • Full clinical chemistry mirroring clinical laboratory (2022)
  • SARS-CoV-2 variant sequencing in partnership with Genomic Shared Resource
  • Predictive analytics (in-house autoML)
  • Commercial IVD manufacturers
  • UC Davis start-ups and investigators
  • External academic institutions


Molecular / Tissue Diagnostics

  • Digital Droplet PCR
    • SARS-CoV-2 Testing
  • Open Plate Real-Time PCR
  • Rapid Multiplex RT-PCR
    • Respiratory Panel
    • Pneumonia Panel
    • Biothreat Panel
    • GI panel
    • Meningitis Panel
    • Joint Infection Panel

Chemistry and Immunoassays

  • Automated Chemistry
    • Electrolytes, Glucose, BUN, Creatinine
    • Blood Gases
    • Lipase, Total Protein, Albumin, AST, ALT, Calcium
  • Automated Immunoassay
    • Cardiac biomarkers
    • Cancer biomarkers
    • Hormones
    • Therapeutic Drug Monitoring
    • Toxicology
    • Infectious Diseases
    • Vitamins
  • Mass Spectrometry

Hematology / Coagulation

  • Thromboelastography
  • Platelet Function Assay
  • Complete Blood Count
    • Hemoglobin
    • Hematocrit
    • Platelets
    • White blood cell count w/ differential

Predictive Analytics

  • Data from both health system and the CDxI investigational laboratory provide means to apply data sciences.
  • Use of novel automated machine learning accelerates identification of new algorithms that have clinical potential.
  • Traditionally, ML models are programmed manually by a highly trained data scientist.
  • Manual programming relies on the data scientists expertise and perhaps prior assumptions and biases to produce and refine models.
  • MILO does not come in with assumptions or biases. All combinations of features (predictors) are trained-tested across common ML methods.
  • Let the user decide which model is best based on MILO’s output.