Proscia has a total of 27 patents globally, out of which 8 have been granted. Of these 27 patents, more than 81% patents are active. United States of America is where Proscia has filed the maximum number of patents, followed by Europe and Israel. Parallelly, United States of America seems to be the main focused R&D centre and also is the origin country of Proscia.
Proscia was founded in the year 2014. The Company develops a cloud based platform. The Company through its platform provides digital pathology informatics. Proscia serves customers in the United States.
Do read about some of the most popular patents of Proscia which have been covered by us in this article and also you can find Proscia patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Proscia patent portfolio.
How many patents does the founder and the CEO of Proscia have?
The founder Coleman Stavish has 0 patent and Nathan Buchbinder has 0 patent and CEO David West (also founder) has 0 patent.
How many patents does Proscia have?
Proscia has a total of 27 patents globally. These patents belong to 10 unique patent families. Out of 27 patents, 22 patents are active.
How Many Patents did Proscia File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
| Year of Patents Filing or Grant | Proscia Applications Filed | Proscia Patents Granted |
| 2023 | 4 | 1 |
| 2022 | 2 | 3 |
| 2021 | 10 | – |
| 2020 | 4 | 1 |
| 2019 | 2 | 3 |
| 2018 | 1 | – |
| 2017 | 2 | – |
| 2016 | 2 | – |
How many Proscia patents are Alive/Dead?
How Many Patents did Proscia File in Different Countries?
Countries in which Proscia Filed Patents
| Country | Patents |
| United States Of America | 11 |
| Europe | 4 |
| Israel | 2 |
| Australia | 2 |
| Canada | 2 |
Where are Research Centres of Proscia Patents Located?
The Research Centre for all the Proscia patents is the United States of America.
Best Proscia Patents
US10460150B2 is the most popular patent in the Proscia portfolio. It has received 5 citations so far from companies like Enspectra Health, General Electric Company and PAIGE.AI, Inc.
Below is the list of most cited patents of Proscia:
| Publication Number | Citation Count |
| US10460150B2 | 5 |
| WO2022066736A1 | 3 |
| US11403862B2 | 2 |
| WO2022066725A1 | 2 |
| WO2022061083A1 | 2 |
| US10614285B2 | 1 |
| EP3796217A1 | 1 |
What Percentage of Proscia US Patent Applications were Granted?
Proscia (Excluding its subsidiaries) has filed 8 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 7 have been granted leading to a grant rate of 87.5%.
Below are the key stats of Proscia patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Proscia?
| Law Firm | Total Applications | Success Rate |
| Mh2 Technology Law Group | 8 | 87.50% |
List of Proscia Patents
| Proscia Patents | Title |
| US11462032B2 | Stain Normalization For Automated Whole-Slide Image Classification |
| US11423678B2 | Automated Whole-Slide Image Classification Using Deep Learning |
| US11403862B2 | Deep Learning Automated Dermatopathology |
| US10614285B2 | Computing Technologies For Image Operations |
| US10496742B2 | System For And Method Of Evaluating Medical Images In A Networked Computer Environment |
| US10460150B2 | Deep Learning Automated Dermatopathology |
| US10346980B2 | System And Method Of Processing Medical Images |
| US20230260125A1 | Digital Pathology Artificial Intelligence Quality Check |
| US20230245431A1 | Critical Component Detection Using Deep Learning And Attention |
| US20220375242A1 | Deep Learning Automated Dermatopathology |
| EP4214626A1 | Training End-To-End Weakly Supervised Networks At The Specimen (Supra-Image) Level |
| EP4200674A1 | Critical Component Detection Using Deep Learning And Attention |
| EP3796217A1 | Automated Whole Slide Image Classification Using Deep Learning |
| EP3796223A1 | Stain Normalization For Automated Whole Slide Image Classification |
| WO2023158684A1 | Digital Pathology Artificial Intelligence Quality Check |
| WO2023150269A1 | Systems And Methods Of Generating Medical Concordance Scores |
| AU2021349226C1 | Critical Component Detection Using Deep Learning And Attention |
| IL301435A | Training End-To-End Weakly Supervised Networks At The Specimen (Supra-Image) Level |
| IL301593A | Critical Component Detection Using Deep Learning And Attention |
| AU2021345220A1 | Training End-To-End Weakly Supervised Networks At The Specimen (Supra-Image) Level |
| CA3196713A1 | Critical Component Detection Using Deep Learning And Attention |
| CA3195891A1 | Training End-To-End Weakly Supervised Networks At The Specimen (Supra-Image) Level |
| US20200089749A1 | System For And Method Of Evaluating Medical Images In A Networked Computer Environment |
| WO2022066725A1 | Training End-To-End Weakly Supervised Networks In A Multi-Task Fashion At The Specimen (Supra-Image) Level |
| WO2022066736A1 | Critical Component Detection Using Deep Learning And Attention |
| WO2022061083A1 | Training End-To-End Weakly Supervised Networks At The Specimen (Supra-Image) Level |
| WO2016149468A1 | Computing Technologies For Image Operations |
What are Proscia key innovation segments?
What Technologies are Covered by Proscia?
The chart below distributes patents filed by Proscia