PHINOMICS
The Cancer Intelligence Platform. Unlocking the hidden biology driving the next generation of cancer therapeutics and predictive biomarkers.
We isolate and decode circular DNA and cryptic proteins—first-in-class, orthogonal, causal, and clinically validated signals that make disease predictable, actionable, and curable.
The Hidden 50% of
Cancer Biology
Every year, biopharma spends over $250 billion trying to develop new drugs, yet 90% fail, mostly because we’re targeting the wrong biology. That failure stems, in part, from a blind spot in our picture of biology: half of cancer biology—circular DNA—has been invisible. These small, extrachromosomal rings of DNA drive oncogenesis, resistance, and relapse, but conventional sequencing can’t detect or decode them. They’ve been known since the 1960s, yet remained clinically untapped.
A Faster Route to Precision Oncology and Targeted Therapeutics:
~90% of oncology drugs fail in clinical trials because we fundamentally don't understand cancer. The problem is twofold: First, every platform analyzes molecular layers in isolation, genomics, transcriptomics, proteomics, epigenetics, single-cell, etc. on varied types of disease models; fragmenting cancer's integrated decision-making network into disconnected datasets. Second, there's a critical layer missing entirely: extrachromosomal circular DNA. Known for five decades to drive cancer progression, evolution, and drug resistance, it has remained invisible due to insurmountable technical challenges. Without integration of well-controlled rigorous and diverse biological datasets, and without inclusion of temporal data such as circular DNA, we lack a comprehensive view of cancer biology to enable accurate target discovery. This dual architectural failure costs pharma $50B+ annually in failed oncology R&D and countless lives.
This is where Phinomics comes in. By cracking the signal-to-noise problem we reveal the missing biology and can unlock the next generation of cancer therapies. Our patented platform isolates and decodes circular DNA and cryptic micro-proteins. These elements are causal and enriched in cancer, immune dysfunction, drug resistance, and aging disorders.
Explainable AI Trained on the Full Picture
Today's leading machine learning models are trained on single-layer data — inputs that are saturated, repetitive, and increasingly limited. But biology doesn't operate in a single dimension. Life's intelligence emerges from the interaction of multiple layers. Phinomics fills the critical gap by capturing missing biological signals and integrating multi-modal datasets into a rich, interconnected network that mechanistically explains disease.
Phinomics is building a biological operating system for cancer that enables the discovery of dynamic molecular networks that reveal how cancer makes decisions about progression, evolution, and drug resistance—connections invisible when analyzing isolated data layers. These integrated networks unlock predictive biomarkers and previously undruggable targets by exposing the causal mechanisms driving disease, transforming fragmented correlations into actionable therapeutic intelligence.
Unique advantage: 100X higher circular DNA resolution, unavailable anywhere else and 25X more predictive dataset. We built the largest curated multi-modal dataset with integrated molecular layers using proprietary AI into biological networks representing cancer's decision-making architecture; revealing druggable targets and predictive disease signals invisible to other approaches.