Bassett Physician GroupBassett Medical Center General Surgery 1 Atwell Rd, Cooperstown, NY 13326 6075473373 (phone), 6075476553 (fax)
Education:
Medical School Tulane University School of Medicine Graduated: 2014
Languages:
English
Description:
Dr. Nguyen graduated from the Tulane University School of Medicine in 2014. He works in Cooperstown, NY and specializes in General Surgery. Dr. Nguyen is affiliated with Bassett Medical Center.
Us Patents
Automated Control Of Microfluidic Devices Based On Machine Learning
- Livermore CA, US Eric B. Duoss - Dublin CA, US Du Nguyen - Fremont CA, US William Smith - Oakland CA, US Sachin Subhash Talathi - Pleasanton CA, US Aaron Creighton Wilson - Livermore CA, US
A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.
System And Method For Augmented Reality-Enabled Gift Cards Using An Artificial Intelligence-Based Product Database
A system comprises a database configured to store product data associated with a plurality of retailers, retail locations, and augmented reality experiences related to the product data; at least one hardware processor coupled with the database; and more software modules that are configured to, when executed by the at least one hardware processor, receive a purchase of a gift card from a first user, wherein the purchase specifies a second user to receive the gift card, a retailer, retailer location(s), gift card value, and augmented reality experience, receive a personalized message for the second user, from the first user, to be associated with the gift card, send a notification to the second user with instructions for retrieving the gift card at the specified retail location, receive location information from the second user, verify the location information.
Three-Dimensional Printed Structural Siloxanes Having Controlled Drug Release
According to one embodiment, a core-shell microsphere includes a polyorganosiloxane shell, and a core inside the shell, the core having a carrier and at least one component, where the at least one component is configured to be released post processing. In addition, an average diameter of the polyorganosiloxane shell is in a range of greater than about 1 micron to less than about 100 microns.
Hierarchical Triply Periodic Minimal Surface Structures As Heat Exchangers And Reactors
The present disclosure relates to a transport mechanism apparatus for transporting at least one of a gas or a fluid. The transport mechanism may have an inlet, an outlet and a triply periodic minimal surface (TPMS) structure. The TPMS structure is formed in a layer-by-layer three dimensional (3D) printing operation to include cells propagating in three dimensions, where the cells include wall portions having openings, and where the cells form a plurality of flow paths throughout the transport mechanism from the inlet to the outlet, and where the cells form the inlet and the outlet.
Three Dimensional Printed Gas Blown Polysiloxane Foams
- Livermore CA, US Eric B. Duoss - Dublin CA, US Jeremy Lenhardt - Tracy CA, US Du Nguyen - Fremont CA, US Thomas S. Wilson - San Leandro CA, US Alexandra Golobic - Pleasanton CA, US
According to one aspect of an inventive concept, an ink formulation for forming a gas blown polysiloxane product includes a polysiloxane having at least one vinyl group, a silane crosslinker, a catalyst, a gas blowing agent, and a thixotropic agent. According to another aspect of an inventive concept, a product includes a three-dimensional printed polymer structure formed from at least one filament. The three-dimensional printed polymer structure has a plurality of layers arranged in a geometric pattern, the layers being formed from the at least one filament, where the at least one filament comprises a polysiloxane material having a plurality of closed cell pores formed therein.
Automated Control Of Microfluidic Devices Based On Machine Learning
- Livermore CA, US Eric B. Duoss - Dublin CA, US Du Nguyen - Fremont CA, US William Smith - Oakland CA, US Sachin Subhash Talathi - Pleasanton CA, US Aaron Creighton Wilson - Livermore CA, US
A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.
Automated Control Of Microfluidic Devices Based On Machine Learning
- Livermore CA, US Eric Duoss - Dublin CA, US Du Nguyen - Fremont CA, US William Smith - Oakland CA, US Sachin Subhash Talathi - Pleasanton CA, US Aaron Creighton Wilson - Livermore CA, US
International Classification:
B01L 3/00 G05B 13/02 G05D 7/06 G01N 35/00
Abstract:
A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.