COMPUTATIONAL EVIDENCE

Serial Number 97256649
602

Registration Progress

Application Filed
Feb 7, 2022
Under Examination
Approved for Publication
Published for Opposition
Registered

Trademark Image

COMPUTATIONAL EVIDENCE

Basic Information

Serial Number
97256649
Filing Date
February 7, 2022
Abandonment Date
May 2, 2023
Drawing Code
4000

Status Summary

Current Status
Inactive
Status Code
602
Status Date
May 16, 2023
Classes
042

Rights Holder

Recovery Exploration Technologies, Inc.

03
Address
255 Constitution Drive
Menlo Park, CA 94025

Ownership History

Recovery Exploration Technologies, Inc.

Original Applicant
03
Menlo Park, CA

Legal Representation

Attorney
Tina Chen

USPTO Deadlines

No Upcoming Deadlines

No upcoming deadlines found for this trademark.

Application History

9 events
Date Code Type Description Documents
May 16, 2023 ABN2 O ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE Loading...
May 16, 2023 MAB2 O ABANDONMENT NOTICE MAILED - FAILURE TO RESPOND Loading...
May 16, 2023 MAB2 E ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND Loading...
Nov 1, 2022 CNRT R NON-FINAL ACTION WRITTEN Loading...
Nov 1, 2022 GNRT F NON-FINAL ACTION E-MAILED Loading...
Nov 1, 2022 GNRN O NOTIFICATION OF NON-FINAL ACTION E-MAILED Loading...
Jun 28, 2022 DOCK D ASSIGNED TO EXAMINER Loading...
Feb 11, 2022 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED Loading...
Feb 10, 2022 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 042
Providing online non-downloadable software for organizing, disseminating, processing and reasoning of medical evidence; providing online non-downloadable software to process both free text and structured data into computational concepts, including but not limited to mapping to clinical terminologies, parsing of concepts, units and parametrizing numeric data; providing online non-downloadable software for using algorithms and artificial intelligence to analyze medical data in the context of medical evidence; providing online non-downloadable software for analyzing patient data, including demographics and patient context, and comparing to evidence to inform clinical awareness and action; providing online non-downloadable software for using formal ontologies for hierarchical evidence organization; providing online non-downloadable software for using Bayesian networks for probabilistic inference layer on top of the computational evidence; providing online non-downloadable software for using evidence in computational form as a grounding for advanced artificial intelligence, including artificial general intelligence, to support use cases including clinical question answering and explainable clinical reasoning; providing online non-downloadable software including an enabler to safe, steerable, transparent and grounded artificial intelligence; providing online non-downloadable software with the ability to visualize computational evidence using dimensionality reduction and evidence fingerprinting
First Use Anywhere: 0
First Use in Commerce: 0

Classification

International Classes
042