Digital Native Trials Management System
First filed 2024-12-11. 1 filing on record with the USPTO.
46 of 113 works · IP.
First filed 2024-12-11. 1 filing on record with the USPTO.
Published in Journal of Diabetes Science and Technology. DOI 10.1177/19322968261480134.
Granted as US11880882, US12437338, US12688531, US12694451, first filed 2019-04-25. 5 filings on record with the USPTO.
First filed 2024-11-27. 1 filing on record with the USPTO.
First filed 2024-01-17. 2 filings on record with the USPTO.
Granted as US11769573, US12658290, first filed 2018-10-16. 2 filings on record with the USPTO.
Granted as US12155747, US12652158, first filed 2021-01-14. 2 filings on record with the USPTO.
Systems and methods for executing, orchestrating, and materializing computational workflows from document-based representations. Human-readable documents such as Markdown files carry the documentation, the executable logic, and the structured outputs as one artifact.
Granted as US11423500, US11651459, US12572993, first filed 2019-12-12. 3 filings on record with the USPTO.
Journal of Translational Medicine. Artificial Intelligence (AI) has the potential to impact healthcare across multiple domains. In diabetes, a complex chronic disease affecting 600 million people globally, AI is already being used from primary care to tertiary specialist care to reduce patient and clinician burden. However, for medical AI to be widely implemented and applied specifically to diabetes, such stakeholders as patients, clinicians, healthcare administrators, regulators, and AI developers will need to establish trust in this technology.
Journal of Diabetes Science and Technology. Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. This article focuses on this practice, which is fully aligned with the NIH's Gold Standard Science (GSS) program as well as FAIR (findable, accessible, interoperable, reusable) and TRUST (transparency, responsibility, user focus, sustainability, technology) principles.
Granted as US9525753, US10320735, US11044221, US11777894, US12401615, first filed 2012-12-12. 6 filings on record with the USPTO.
Journal of Diabetes Science and Technology. New methods of continuous glucose monitoring (CGM) data analysis are emerging that are valuable for interpreting CGM patterns and underlying metabolic physiology. These new methods use functional data analysis and artificial intelligence (AI), including machine learning (ML).
A modular agentic AI platform for autonomous execution of enterprise workflows. An autonomous agent layer holds stateless software agents, each with a task execution engine, an in-memory contextual state manager, an AI model invocation interface, and an input-output normalization module.
First filed 2025-03-17. 1 filing on record with the USPTO.
The firm's operating method, together with the written materials and engagements delivered under the name.
Journal of Diabetes Science and Technology. The Diabetes Research Hub (DRH) is a centralized data management system and repository that will revolutionize how diabetes data are gathered, stored, analyzed, and utilized for research. By harnessing advanced analytics for large datasets, the DRH will support a nuanced understanding of physiological patterns and treatment effectiveness, ultimately advancing diabetes management and patient outcomes.
Over a decade of innovation in precision learning and education has led to a significant surge in patent activity, with filings growing from 85 in 2014 to 1145 in 2023, marking a clear trend towards increased innovation and investment in this sector. Driven by a surge in demand for remote learning solutions during the COVID-19 pandemic, the precision learning sector has witnessed an unprecedented focus on developing and commercializing e-learning platforms recently, which is visible in patenting trends as well.
Electronic Medical Records (EMR) systems are used for efficient and effective patient care management. However, with the increasing reliance on these digital systems comes a significant challenge: ensuring the security and integrity of sensitive medical data.
Granted as US11388077, US11888597, first filed 2019-10-30. 2 filings on record with the USPTO.
Granted as US10963585, US11874949, first filed 2012-09-10. 3 filings on record with the USPTO.
Granted as US10643208, US11568401, first filed 2019-02-24. 2 filings on record with the USPTO.
Granted as US11561884, first filed 2020-11-18. 1 filing on record with the USPTO.
Granted as US11475441, first filed 2018-07-25. 1 filing on record with the USPTO.
Published in Journal of Diabetes Science and Technology. DOI 10.1177/19322968221119146.
Journal of Diabetes Science and Technology. The first meeting of the Integration of Continuous Glucose Monitor Data into the Electronic Health Record (iCoDE) project, organized by Diabetes Technology Society, took place virtually on January 27, 2022. Clinicians, government officials, data aggregators, attorneys, and standards experts spoke in panels and breakout groups.
Granted as US11270263, first filed 2013-09-12. 2 filings on record with the USPTO.
First filed 2012-02-02. 3 filings on record with the USPTO.
Granted as US10638999, US11006920, first filed 2012-02-02. 4 filings on record with the USPTO.
Granted as US10984913, first filed 2012-04-27. 2 filings on record with the USPTO.
First filed 2013-04-18. 2 filings on record with the USPTO.
First filed 2012-05-14. 3 filings on record with the USPTO.
Granted as US10839020, first filed 2014-04-14. 3 filings on record with the USPTO.
Granted as US10490304, US10811124, first filed 2012-01-26. 4 filings on record with the USPTO.
First filed 2012-05-01. 2 filings on record with the USPTO.
Granted as US10586069, first filed 2016-05-24. 1 filing on record with the USPTO.
Training is treated as a broadcast: publish the course, record the completion, hope for the change. We treat human knowledge as a control loop instead, where every step from delivery to outcome produces evidence and the evidence decides what the person gets next.
Granted as US9846896, US10489830, first filed 2014-06-22. 3 filings on record with the USPTO.
Granted as US10403399, first filed 2014-11-20. 2 filings on record with the USPTO.
Granted as US10089492, first filed 2015-05-25. 2 filings on record with the USPTO.
Granted as US7039898, first filed 2002-07-12. 1 filing on record with the USPTO.
Granted as US9870591, first filed 2013-09-12. 2 filings on record with the USPTO.
Granted as US9418355, first filed 2013-09-20. 1 filing on record with the USPTO.
Pending at Intellectual Frontiers in class 42, held by Shahid N. Shah.
Registered in class 42, held by Netspective Communications LLC.
Registered in class 42, held by Netspective Communications LLC.
A family of USPTO filings around one invention, granted or pending, with its real status.
An operating company chartered by Studios, with an entity, an operator, and a closure path.
A capability built for the whole portfolio and designed to be spun out on its own.
A company funded, built, or spun out. (Lapsed filings remain in the patent register.)
A pool of capital with a written thesis and a stated deployment model.
Long-form publishing that makes the case for an invention or an operating model.
Standing research programs and publication series, including peer-reviewed work.
A landscape read that changed a filing or funding decision.
A defensive publication that puts prior art in the open so a bad patent cannot be filed later.
A structured intelligence asset that decides where capital, filings, or ventures go next.
A reusable operating method that the rest of the portfolio is built on.
A piece the founder published on his own site, tagged by type, that argues a finding in the open before it becomes a filing or a fund.
An owned online publication that makes the case for our work to a standing audience.