RAMOT AT TEL-AVIV UNIVERSITY LTD.

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.

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

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.

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 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.

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.

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

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.

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

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

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

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.

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.

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.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

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.

Development of sophisticated optical lens assemblies and computational methods to achieve high-resolution, precise, or specialized imaging, often for medical or scientific applications.

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

Self-contained or modular devices designed to automate and integrate multiple steps of molecular diagnostic assays, from sample preparation to result interpretation, often for point-of-care or high-throughput applications.

Innovations in backlight units, optical films, and light management structures to enhance display performance, uniformity, viewing experience, or specific functionalities like touch.

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.

Techniques for identifying microorganisms, assessing their viability, quantifying their presence, profiling their metabolic activity, or determining their susceptibility to antimicrobial agents, often in complex biological or environmental samples.

Applying computational methods, often involving machine learning and multiomics data, to design, analyze, and understand biomolecules, genetic sequences, or complex biological systems.

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

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.

Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.

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.

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.

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.

Systems and methods that utilize optical fibers as sensing elements or for transmitting sensing signals, often for distributed monitoring of environmental conditions, phase changes, or integrating sensing with communication.

Engineering of artificial subwavelength structures (meta-atoms) to create metasurfaces that manipulate light properties (phase, polarization, wavelength) for multi-functional optical devices.

Methods and kits for amplifying nucleic acids at a constant temperature, enabling faster results and point-of-care applications, often used for pathogen or contamination detection.