http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022192432-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_6538bd62236d9ee50ce9791db291f83b |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-698 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate | 2022-03-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8d0e331ac91726530b45855c7e05e353 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_651da41029cf115bdaf840cdc7c62ef6 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_658d487300342efe903cfb8aea5b80d5 |
| publicationDate | 2022-09-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2022192432-A1 |
| titleOfInvention | Self-trainable neural network application for anomaly detection of biopharmaceutical products |
| abstract | System for analyzing anomalies in pharmaceuticals includes a server configured to host a neural network having an inference engine and a training engine, a database of images of in-process biologics; a first user interface module for displaying to a user particle morphologies in the images; a second user interface module for displaying to the user a training of the neural network; a third user interface module for displaying to the user an inference of images chosen by the neural network to fit selected criteria, wherein the neural network is a convolutional neural network, and training includes providing test images to the training engine to teach the neural network to recognize specific particle morphologies. The user provides images of the in-process biologics from the database, and the inference engine identifies anomalous particle morphologies in the user-provided images. A fourth user interface module provides a report about particle morphologies in the images. |
| priorityDate | 2021-03-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 22.