Company patents
AARHUS UNIVERSITET
AARHUS UNIVERSITET's patent strategy is heavily concentrated in pharma_biotech, with Pharmaceutical Preparations (40.0% of portfolio), Therapeutic Activity (Pharma) (28.6%), and Peptides & Proteins (27.1%) being dominant areas, the latter seeing a significant 75.0% YoY growth in 2024. While these core areas showed strong growth in 2024, there's a surprising decline in patenting activity across most categories so far in 2026, with several categories like Medical Diagnostics & Surgery and Drug Delivery Devices experiencing 100.0% YoY declines from 2025.
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.
70 US filings (since 2023) · 12 categories · 17 themes
Development of small molecules, often bifunctional (e.g., PROTACs) or molecular glues, that induce the ubiquitin-proteasome system or autophagy to selectively degrade specific disease-causing proteins.
Design and engineering of proteins or peptides to directly modulate immune responses, including enhancing antigen presentation, suppressing inflammation, or activating specific immune cell types.
Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.
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.
Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.
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.
Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.
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.
Therapeutic application of electrical signals to nerves or tissues to modulate their activity, often using implantable devices, electrodes, and sophisticated programming for various conditions.
Systems that provide therapeutic stimulation or field therapy through wearable devices, often incorporating physiological sensing and closed-loop feedback for personalized and adaptive treatment.
Therapeutic approaches involving the use of living cells, often genetically modified or ex vivo activated, to treat diseases, particularly cancer, by modulating immune responses or replacing damaged cells.
Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.
Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.
Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.
Use of alternating electric or magnetic fields at specific frequencies and intensities to achieve therapeutic effects, such as inhibiting cell proliferation (e.g., cancer) or modulating cytokine production.
Devices and methods utilizing ultrasound energy for non-invasive or minimally invasive treatment, including focused ultrasound for tissue ablation, neuromodulation, or enhanced substance delivery.
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.
Patents
Showing 1-10 of 101