Every year, hundreds of thousands of tumor biopsies return ambiguous results — leaving patients and clinicians in limbo and resulting in repeated and follow-on tests, delayed treatment, and rising costs. At LisenID, we are eliminating this diagnostic gap with the first test and platform built on Loss of Imprinting (LOI) biomarkers and AI-driven analysis.
LisenID transforms the "gray zone" into clear, actionable answers
We have developed the first molecular diagnostics test and platform that uses the Loss of Imprinting biomarker–one of the earliest indicators to carcinogenesis–and AI to visually identify carcinogenesis and predict cancer in routine tumor biopsy samples, with up to 95% accuracy.
Utilizing Lavage & TBNA Samples

Utilizing CNB & FNA Samples
Utilizing Skin Biopsy Samples
Team
Memebers
Up to 95% accuracy, proven in 10,000+ cases
Utilizes routine biopsy samples. No additional work needed.
12 granted patents, supported by top-tier journal publications.
Projects done

Novel visualized quantitative epigenetic imprinted gene biomarkers diagnose the malignancy of ten cancer types.

Epigenetic imprinting alterations as effective diagnostic biomarkers for early-stage lung cancer and small pulmonary nodules.

High diagnostic accuracy of epigenetic imprinting biomarkers in thyroid nodules.

Genomic imprinting biomarkers for cervical cancer risk stratification.
Existing molecular tests that rely on circulating tumor DNA, DNA methylation, or complex genomic panels rely on later stage cancer development that sacrifices accuracy for convenience, are influenced by intense noise leading to inconsistent results, or too costly to patients. All of which lead to delayed treatment, worse patient outcomes, repeated and follow-up tests, and rising costs.