Research Programs

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Detailed scientific rationale, platform architecture, and academic partnership structures for each program.

Sarcoidosis · Race-Calibrated Monitoring · AI/ML

SarcoActivity™

A 7-component AI/ML platform addressing the systematic failure of ACE monitoring in African American sarcoidosis patients - the largest Black/White mortality differential of any chronic inflammatory disease in the United States.

US Provisional Patent Application No. 63/078,909 · Filed May 31, 2026 · Patent Pending · McGenome, LLC

The Scientific Problem

Serum angiotensin-converting enzyme (ACE) is the universally adopted monitoring biomarker for sarcoidosis disease activity. Physicians use it to initiate therapy, track treatment response, and guide steroid tapering. But ACE monitoring fails in African American patients through three independent mechanisms identified by McGenome's founder:

Mechanism 1 - rs1799752 Polymorphism: The ACE gene I/D polymorphism at rs1799752 produces genotype-dependent baseline ACE differences of up to 30 U/L. The II genotype (homozygous insertion) is more prevalent in African ancestry populations, producing systematically lower ACE independent of disease activity.

Mechanism 2 - ACE Inhibitor Suppression: Approximately 50% of Black sarcoidosis patients take ACE inhibitors for comorbid hypertension - reducing serum ACE by 50-80% regardless of granuloma burden.

Mechanism 3 - Fibrotic Paradox: In progressive fibrosing sarcoidosis (Stage III-IV), ACE paradoxically falls as epithelioid macrophages are replaced by fibroblast-derived collagen, even as organ destruction accelerates.

The Platform - 7 Integrated Components

01
Biomarker Failure Detection (BFD)
Classifies ACE monitoring reliability into 7 categories based on rs1799752 genotype, ACEi status, ancestry, and fibrotic stage.
02
SarcoActivity™ Index (SAI)
ML-derived weighted composite of ACE + sIL-2R with adaptive ancestry-specific weights. ACE weight set to zero in confounded patients.
03
Fibrosis Progression Panel (FPP)
Three-marker panel: sIL-2R + CCL18 + sCD163 for progressive fibrosing sarcoidosis monitoring independent of ACE.
04
Multi-Omic Endotype Classifier (MOEC)
Unsupervised + semi-supervised ML classifying patients into 6 biologically distinct endotypes (E1-E6) guiding therapy selection.
05
Drug Response Prediction (DRPE)
Predicts response to 6 drug classes including JAK inhibitors, anti-TNFalpha, anti-GM-CSF, and anti-fibrotics with race-neutral delta sIL-2R endpoint.
06 + 07
NBDP + CDSS
Novel Biomarker Discovery Pipeline (GWAS + NLP + GNN) and Clinical Decision Support System (EHR FHIR R4 API; three deployment modes).
NIH STTR Phase I Academic Partner
Prof. Nadera J. Sweiss, MD
Director, Bernie Mac Sarcoidosis Center and Research Registry (STAR Center) · University of Illinois Chicago · Co-PI, STTR Phase I (NHLBI + NIMHD · $299,800 direct · Sep 5 2026 submission)

Platform details available to qualified partners under mutual NDA. Contact: sssiddiqui@gmail.com