Company patents
Nantomics, LLC
Nantomics, LLC's patent strategy shows a surprising and broad decline across nearly all categories, with significant year-over-year drops in key areas like Bioinformatics (-70.0% in 2025), Healthcare Informatics (-41.7% in 2025), and Image Processing (-100.0% so far in 2026). This widespread reduction, even in its largest categories, suggests a substantial shift in R&D focus or a strategic divestment from patenting new inventions across its diverse portfolio.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
69 US filings (since 2023) · 12 categories · 14 themes
Computational methods and systems for analyzing biological data (e.g., genomic, proteomic, clinical) to diagnose diseases, predict patient prognosis, assess treatment response, or stratify patients for therapy.
Development of therapeutic approaches involving the genetic modification of cells (e.g., T cells, stem cells, macrophages) or the use of viral/non-viral vectors to deliver genetic material for disease treatment.
Identification and measurement of specific nucleic acid sequences (DNA, RNA), their expression levels, or epigenetic modifications (e.g., methylation) as indicators for disease presence, progression, risk, or treatment response.
Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Computational techniques and algorithms for processing, aligning, and interpreting raw biological sequence data (DNA, RNA, protein), including identifying genetic variations, classifying organisms, or predicting sequence attributes.
Applying computational methods, often involving machine learning and multiomics data, to design, analyze, and understand biomolecules, genetic sequences, or complex biological systems.
Therapeutic strategies employing nucleic acids (DNA, RNA, oligonucleotides) to modulate gene expression, deliver genetic material, or interfere with disease-causing pathways. Includes gene therapy using viral vectors.
Systems and methods for encrypting data at a fine-grained level (e.g., per data unit or based on sensitivity) and controlling access to it, often involving delegated authorization, contextual policies, or secure data sharing.
Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.
Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.
Mechanisms to facilitate the secure exchange of data between different entities or systems while enforcing usage policies, managing digital content rights, and ensuring data consistency during replication or transfer.
Assays leveraging CRISPR-Cas systems (e.g., Cas12, Cas13) for highly specific and sensitive detection of target nucleic acids, often involving collateral cleavage activity or reporter molecules.
Methods and reagents designed to improve the specificity, efficiency, or yield of nucleic acid capture, ligation, amplification, or library preparation steps, particularly for sequencing applications or quantitative analysis.
Patents
Showing 11-15 of 15
Advanced Genomic Sequence Analysis