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Report . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY NC ND
Data sources: Datacite
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BIO56: Deterministic Decomposition of Biological Data into 56 Elements — Experimental Results

Authors: Shalev, Yonathan;

BIO56: Deterministic Decomposition of Biological Data into 56 Elements — Experimental Results

Abstract

941 biological entities from 4 independent data domains — 671 cancer-gene DNA sequences (NCBI), 185 BRCA1-associated protein structures (RCSB PDB), 1,904 breast cancer patients (METABRIC cohort), and 84 live-cell DIC microscopy frames (Cell Tracking Challenge) — were decomposed into 54,986,846 atoms using a deterministic 7-law classification cascade (8 atom types × 7 laws = 56 elements). 19 genes were found across domains automatically, including a 3-way BRCA1 identity proof (487 independent occurrences across DNA, protein, and clinical data). Every measurement is a mathematical formula — no AI, no trained models, no hyperparameters. This document presents results only — method protected by provisional patents #64/029,741 and #64/048,143 filed with the USPTO.

Keywords

holosynthics, digital matter, deterministic, biology, periodic table, microscopy, cancer, cross-domain, BRCA1

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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