GEORGETOWN UNIVERSITY

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

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

Technologies for generating artificial speech that is personalized, context-aware, or adaptable to specific virtual agents or messaging campaigns, often utilizing text-to-speech (TTS) and audio caching for efficient delivery.

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 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 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.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.

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.

Design and engineering of proteins or peptides to directly modulate immune responses, including enhancing antigen presentation, suppressing inflammation, or activating specific immune cell types.

AI systems designed to engage in natural language dialogue, maintain conversation state, understand user intent, and generate relevant responses, often across multiple communication channels or modalities.

Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.

Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.

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 to improve the accuracy and robustness of Automatic Speech Recognition (ASR) systems by incorporating contextual information, dynamic hint words, or customized machine learning models for specific domains or users.

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

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

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.

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.

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).