Roche Diabetes Care, Inc.

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.

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.

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.

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.

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

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).

Alert systems designed to deliver notifications tailored to an individual's specific situation, health status, location, or relationship context, often leveraging wearable devices or mobile applications for personalized guidance and compliance.

Mechanical or electromechanical systems designed for precise, often self-administered, delivery of medicaments, including features for dose setting, needle insertion/retraction, and safety mechanisms to prevent premature activation.

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 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.

Systems and methods for processing, prioritizing, and presenting multiple alarms, including features like temporary pausing, customized display, and intelligent decision-making for alert delivery based on context or user profiles.

Minimally invasive medical devices, typically flexible tubes, inserted into body lumens to deliver substances, remove obstructions, or perform localized treatments like ablation, dialysis, or drainage.

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