Company patents
FUDAN UNIVERSITY
FUDAN UNIVERSITY's patent strategy is heavily concentrated in pharma_biotech, with Pharmaceutical Preparations (22.7% of portfolio) and Therapeutic Activity (Pharma) (19.3% of portfolio) being dominant areas, despite a notable decline in Therapeutic Activity (Pharma) patents so far in 2026 (YoY -61.5%). While the university shows some activity in semiconductor and computing, these areas represent a much smaller portion of their overall portfolio and have seen significant declines, such as Machine Learning & AI patents decreasing by 66.7% in 2025 and having no patents so far in 2026.
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.
176 US filings (since 2023) · 12 categories · 28 themes
Processes and methodologies for the efficient and scalable preparation of complex heterocyclic compounds and their precursors, including specific reaction conditions, purification techniques, and intermediate compounds.
Methods and apparatus for the efficient and selective production of organic compounds, including amines, acids, and esters, often involving catalytic or continuous processes and purification steps.
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 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 modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.
Development of memory cells utilizing resistive switching or phase-change materials, including novel material compositions, multi-layered structures, and integration with selector devices like bipolar junction transistors, to achieve non-volatile storage.
Design and engineering of proteins or peptides to directly modulate immune responses, including enhancing antigen presentation, suppressing inflammation, or activating specific immune cell types.
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.
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.
Therapeutic interventions that target immune checkpoint pathways to either enhance or suppress immune responses, often used in cancer immunotherapy or autoimmune diseases.
Focuses on the physical design, materials, and manufacturing processes for individual memory cells, including transistor structures, interconnects, and multi-layered (3D) architectures to enhance density and performance.
Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.
Techniques for stacking multiple semiconductor dies or active layers vertically to achieve higher density and shorter interconnections, often utilizing through-silicon vias (TSVs) or other vertical conductive paths like through-hole electrodes.
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.
Development and manufacturing of semiconductor devices using wide bandgap materials like Silicon Carbide (SiC) or Gallium Nitride (GaN) for high-power, high-frequency, or high-temperature applications.
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.
Modification of protein or peptide sequences, structures, or post-translational modifications (e.g., glycosylation, lipidation) to enhance their stability, solubility, delivery, or therapeutic efficacy.
Engineering approaches to improve the efficiency, control, and performance of chemical reactors, encompassing continuous processes, heat exchange integration, and specialized reactor configurations for various chemical transformations.
Focuses on the design and manufacturing of transistors where the gate material fully encircles the channel, often using nanosheets or fins, to improve electrostatic control and reduce short-channel effects.
Advanced techniques for forming and optimizing gate dielectrics, work function layers, and other dielectric layers within transistor structures to improve performance, reliability, and scaling.
Novel materials and processes for forming low-resistance electrical contacts and interconnects within semiconductor devices, including selective deposition, silicidation, and barrier layers for improved performance and scaling.
Technologies and materials for capturing carbon dioxide from gas streams and subsequently converting it into valuable chemical products or materials, rather than simply storing it.
Synthesis and application of organic compounds designed to impart specific functionalities in material science, such as photosensitivity or charge transport, for electronic or optical devices.
Packaging technologies where bare dies are embedded within a mold compound or substrate cavity, and then interconnected using redistribution layers (RDLs) for fan-out or compact integration, often avoiding through-silicon vias in the chips themselves.
Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Novel electrical connection methods within or between package components, including through-glass vias (TGVs), backside contacts, and optimized redistribution layers for improved signal and power integrity.
Patents
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Large Model Text Generation