We’re on a mission to make early liver cancer detection as routine as a cholesterol test.
Our Mission
Built Around One Uncomfortable Truth
Every year, over 30,000 Americans die from liver cancer. The majority of those deaths were potentially preventable — not because we lack treatment options, but because the cancers were found too late to treat.
MoleculeDx was founded to close this gap. We combined next-generation genomic sequencing with clinical-grade AI to create a blood test that’s simple enough for any at-risk patient to use, accurate enough for physicians to trust, and affordable enough for widespread adoption.
Our Fusion-detect™ platform doesn’t just screen — it catches cancers at the stage when treatment can still save lives.
The Science
Why Fusion Genes?
When liver cells become cancerous, they produce characteristic fusion gene events — chromosomal rearrangements that generate novel protein sequences. These are detectable in the blood years before a tumor is visible on imaging.
Fusion Gene Biomarkers
Our test identifies specific chromosomal fusion events in circulating tumor DNA — a molecular fingerprint that is highly specific to hepatocellular carcinoma.
AI Classification Engine
Our Fusion-detect™ AI is trained on 50,000+ clinical samples. It classifies results with 96.7% accuracy, removing the subjectivity that plagues many diagnostic tests.
CLIA-Certified Laboratory
All samples are processed in our CLIA-certified laboratory under strict federal standards. Every result is reviewed by a licensed clinical pathologist before release.
Leadership
The Team Behind the Science
Dr. Rachel Kim, PhD
Chief Scientific Officer
Former Director of Genomics at NIH. 20+ years in cancer biomarker development and early detection technology.
James Mitchell, MBA
Chief Scientific Officer
Serial health-tech entrepreneur. Previously led operations at two oncology diagnostics companies through FDA clearance.
Dr. Sarah Patel, MD
Chief Scientific Officer
Hepatologist and clinical researcher. Collaborated with UPMC on liver cancer surveillance protocols for 12 years.