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Novel photonic waveguide structures for chip-scale photonic integrated circuits

InactiveUS20050002628A1Simplifies refractive index requirementLow costMaterial nanotechnologyOptical waveguide light guideOptical pickupRefractive index
The present invention discloses a concept of natural index contrast (NIC) for producing photonic waveguides and methods of fabrication thereof. Such waveguide forms the basis of a class of chip-scale micro- and nano-photonic integrated circuits (PICs). The NIC method utilizes the built-in refractive index difference between two layers of dielectric thin films of two different materials, one laid on top of another. This new class of waveguides simplifies the PIC fabrication process significantly. Based on the NIC based waveguides, PICs can be fabricated for a number of photonic applications such as arrayed waveguide grating (AWG), reflective arrayed waveguide grating (RAWG), interleaver, interferometer, and optical sensor. Additionally, several other PICs can also be fabricated via tiers of integration, such as triple-phase integration. Examples of such devices include optical amplifier, wavelength router, sensor, optical modulator, transmitter, receiver, transponder, fully built dense wavelength division multiplexer and demultiplxer, optical power splitter, multicahnnel tunable optical attenuator, and multicahnnel tunable optical add-drop multiplexer. Unlike hybrid integration, triple-phase integration monolithically integrates multiple optical functionalities on a single chip.
Owner:APPLIED RES & PHOTONICS

Methods and System for Real Time, Cognitive Integration with Clinical Decision Support Systems featuring Interoperable Data Exchange on Cloud-Based and Blockchain Networks

An informatics platform comprising method, system, and computer program is provided for interacting with clinical decision support systems such as the IBM Watson for Oncology, for the purpose of utilizing cognitive processing, machine learning and natural language processing to facilitate the manual to semi-automatic to automatic acquisition of a patient's electronic medical record data points, into a CDS system for populating the attributes questionnaire, for generating a patient diagnostic report of treatment recommendations. The platform supports deployment on several informatics architectures including client-server, cloud-based and blockchain.
In a typical embodiment, the system is deployed as a Software-as-a-Service (SAAS) application; it implements a cloud-based, real-time architecture comprising: (a) an adaptive user interface providing responsive dashboards for real-time data presentation and user interaction, (b) a hub controller for real-time data flow transformation, (c) a data validation engine which incorporates cognitive natural language processing (NLP) to extract structured and unstructured patient record data from the EHR and employs methods that provide an optimally automated input to the CDS, (d) cloud storage of aggregated CDS data and other clinical datasets, and (e) plug-in support for additional cognitive capabilities such as predictive analytics and data mining.
Owner:PATIENT ONCOLOGY PORTAL INC
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