Scipher Medicine


Scipher Medicine is a precision immunology company dedicated to transforming patient care through data-driven insights. They develop diagnostic tests and therapeutics by leveraging their Spectra platform, which uses network medicine and AI to understand disease biology and predict treatment responses. Their mission is to match each patient with the most effective therapy, especially in autoimmune diseases, to improve outcomes and reduce healthcare costs.

Industries

alternative-medicine
biotechnology
genetics
health-care
health-diagnostics

Nr. of Employees

medium (51-250)

Scipher Medicine

Waltham, Massachusetts, United States, North America


Products

Blood-based RNA sequencing molecular signature diagnostic for therapy selection

A laboratory-performed diagnostic assay that sequences RNA from peripheral blood to calculate a molecular-signature score predicting likelihood of inadequate response to a class of immunomodulatory therapy; integrates transcript features and clinical variables into a score with defined thresholds.


Services

Network-based biomarker discovery service

Identification and prioritization of treatment-response biomarkers using interactome-based network propagation and ranking methods, with downstream machine-learning model development.

Clinical and analytical validation services for transcriptomic assays

Design and execution of analytical validation studies (precision, reproducibility, concordance) and clinical validation studies (retrospective and prospective cohorts) for RNA-seq based diagnostic assays.

Clinico-transcriptomic data licensing and analytics

Provision of aggregated clinico-transcriptomic data assets, data-linkage and analytics to support drug development, commercialization strategy, and trial enrichment.

Payer engagement and market-access support

Preparation of clinical and economic evidence dossiers, partnership with payers and pharmacy benefit managers, and support for coverage and reimbursement discussions for blood-based molecular diagnostics.

Expertise Areas

  • Network medicine and interactome analysis
  • Biomarker discovery and validation for therapeutic response
  • Transcriptomic diagnostics (RNA-seq based)
  • Machine learning for clinical prediction
  • Show More (6)

Key Technologies

  • Protein–protein interaction networks (human interactome)
  • Network-propagation algorithms (personalized PageRank)
  • Bulk RNA sequencing (paired-end) with alignment and quantification
  • Machine learning (regularized logistic regression, nested cross-validation)
  • Show More (6)

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