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EPO Patents = 1

Trademarks = 4

Forward Citations = 12

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2 inventors (with patents filed for the assignee):

Yaron Gurovich (13 out of 13 patents)

Dekel Gelbman (13 out of 13 patents)

Leonid Karlinsky (0 patent)

4. Dekel Gelbman (0 patent)

13 patents: Sort by Forward Citations

1. 10722181 - Systems, methods, and computer-readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature (2020-07-28),

2. 10667689 - Systems, methods, and computer-readable media for patient image analysis to identify new diseases (2020-06-02),

3. 10470659 - Systems, methods, and computer-readable media for gene and genetic variant prioritization (2019-11-12),

4. 10327637 - Systems, methods, and computer-readable media for patient image analysis to identify new diseases (2019-06-25),

5. 10165983 - Systems, methods, and computer-readable media for determining a likely presence of a genetic disorder (2019-01-01),

6. 10016167 - Systems, methods, and computer-readable media for time lapse image comparison in genetic disorder analysis (2018-07-10),

7. 10004463 - Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature (2018-06-26),

8. 9848829 - Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature (2017-12-26),

9. 9668702 - Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature (2017-06-06),

10. 9597037 - Systems, methods, and computer-readable media for determining when a subject is likely to be affected by a genetic disorder (2017-03-21),

11. 9579068 - Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature (2017-02-28),

12. 9504428 - Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature (2016-11-29),

13. 9392977 - Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature (2016-07-19),

FDNA, Inc. is a leading digital health company that specializes in the development of artificial intelligence and deep learning technologies for genetic diagnostics. Their advanced facial recognition technology, Face2Gene, helps clinicians worldwide identify and diagnose rare genetic diseases by analyzing patient facial features and matching them with a database of genetic disorders. FDNA is committed to improving the lives of patients and their families through the power of AI and genomics.

Profile summary based on public USPTO records.