Ohio State Innovation Foundation

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 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.

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.

Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.

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.

Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.

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.

Techniques for building three-dimensional metal objects layer-by-layer using metal powders, including powder bed fusion, binder jetting, and directed energy deposition. This theme encompasses process mechanics, equipment design, and operational control for AM systems.

Therapeutic interventions that target immune checkpoint pathways to either enhance or suppress immune responses, often used in cancer immunotherapy or autoimmune diseases.

Development and use of engineered biological systems, such as organ-on-a-chip devices, dynamic hydrogels, or genetically modified cells, to mimic physiological conditions, study disease mechanisms, screen compounds, or develop cell-based therapies.

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.

Focuses on the mechanical design, articulation, and actuation of hand-held or robotic surgical instruments, including improvements in stapling, cutting, grasping, and tissue manipulation.

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 for non-invasive or minimally invasive collection and analysis of physiological data (e.g., blood pressure, electrolytes, genetic markers, B cell repertoire) to assess patient health status, screen for conditions, or aid in diagnosis.

Modification of protein or peptide sequences, structures, or post-translational modifications (e.g., glycosylation, lipidation) to enhance their stability, solubility, delivery, or therapeutic efficacy.

Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.

Implantable devices designed to repair, replace, or assist the function of blood vessels or heart structures, including stents, valves, and annuloplasty rings.

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.

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.

Implantable devices that deliver electrical, optical, or other forms of energy to stimulate tissues or nerves, or sense physiological parameters for therapeutic purposes.

Integration of additive manufacturing with subtractive manufacturing (e.g., machining, cutting) or other traditional processes within a single system or workflow to create parts with improved features, surface finish, or material properties, or to enable new manufacturing paradigms.

Implantable devices used for the fixation, fusion, or replacement of bone structures, particularly in the spine and extremities.

Integrated systems and specialized instruments for performing delicate surgical procedures on the eye, often involving the delivery, manipulation, or monitoring of ophthalmic implants.

Catalytic processes and novel catalyst materials designed to efficiently produce hydrogen gas from various feedstocks, including hydrocarbons (e.g., methane, natural gas) and ammonia.

Methods and systems for the efficient and scalable production, purification, and formulation of proteins and peptides, including fermentation, chromatography, and cell-based expression systems.

Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.

Implantable devices designed to manage or redirect bodily fluids, including stents for ducts, and systems for draining or accumulating fluids within internal cavities.

Systems that integrate digital technology, sensors, or connectivity to monitor, track, or automate aspects of medication administration, often providing data feedback, personalized recommendations, or secure logging.

Digital platforms and systems that deliver tailored therapeutic interventions, guidance, or recommendations to patients based on their individual health data, biometric feedback, and computational models (e.g., AI/ML, physiological simulations).

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

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.

Focuses on the design of medical equipment for ease of use, mobility, and adaptability in various clinical or home environments, including carts, mounting systems, and compact form factors.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Computational methods and design principles for generating optimized geometries, internal structures (e.g., lattices, minimal surfaces), or functional features that are specifically enabled or enhanced by the capabilities of additive manufacturing.

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.

Synthesis and processing of silicon and silicon carbide materials in various forms (e.g., particles, nanowires, films) for applications beyond traditional semiconductors, such as battery components, refractories, or advanced electronics.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.