Collaborative artificial intelligence method and system

Patent metadata

Field	Value
Publication number	US-11715467-B2
Application number	US-202016852194-A
Country	US
Kind code	B2
Filing date	Apr 17, 2020
Priority date	Apr 17, 2019
Publication date	Aug 1, 2023
Grant date	Aug 1, 2023

Abstract

A method and system of audibly broadcasting responses to a user based on user queries about a specific patient report, the method comprising receiving an audible query from the user to a microphone coupled to a collaboration device, identifying at least one intent associated with the audible query, identifying at least one data operation associated with the at least one intent, associating each of the at least one data operations with a first set of data presented on the report, executing each of the at least one data operations on a second set of data to generate response data, generating an audible response file associated with the response data and providing the audible response file for broadcasting via a speaker coupled to the collaboration device.

First claim

What is claimed is:

1. A method of audibly broadcasting responses to a user based on user queries, the method comprising:
(i) receiving an audible query answerable in part by reference to a genomic biomarker from the user to a microphone coupled to a collaboration device;
(ii) identifying at least one weightable intent associated with the audible query, the at least one weightable intent including at least one qualifying entity, the at least one weightable intent identified by a machine learning module recognizing the audible query as sufficiently corresponding to an intent phrase provided to or generated by the machine learning module, wherein identifying the at least one weightable intent comprises weighting disease state-related intents more heavily than other possible intents, identifying a plurality of possible intents, determining if any of the possible intents are disease state-related intents, and effecting a weight of the at least one weightable intent;
(iii) identifying at least one parameter value associated with the qualifying entity in the audible query corresponding to the at least one qualifying entity;
(iv) identifying at least one data operation associated with the at least one weightable intent;
(v) executing at least one of the at least one data operations on a set of data including genomic variant information for a plurality of patients to generate response data;
(vi) generating an audible response file associated with the response data; and
(vii) providing the audible response file for broadcasting via a speaker coupled to the collaboration device.

2. The method of claim 1 , wherein the audible query includes a question about a nucleotide profile associated with the plurality of patients.

3. The method of claim 2 , wherein the nucleotide profile associated with the patients is a profile of the patients' cancer.

4. The method of claim 2 , wherein the nucleotide profile associated with the patients is a profile of the patients' germline.

5. The method of claim 2 , wherein the nucleotide profile is a DNA profile.

6. The method of claim 2 , wherein the nucleotide profile is an RNA expression profile.

7. The method of claim 2 , wherein the nucleotide profile is a mutation biomarker.

8. The method of claim 7 , wherein the mutation biomarker is a BRCA biomarker.

9. The method of claim 1 , wherein the audible query includes a question about a therapy.

10. The method of claim 1 , wherein the audible query includes a question about a gene.

11. The method of claim 1 , wherein the audible query includes a question about clinical data.

12. The method of claim 1 , wherein the audible query includes a question about a next-generation sequencing panel.

13. The method of claim 1 , wherein the audible query includes a question about a biomarker.

14. The method of claim 1 , wherein the audible query includes a question about an immune biomarker.

15. The method of claim 1 , wherein the audible query includes a question about an antibody-based test.

16. The method of claim 1 , wherein the audible query includes a question about a clinical trial.

17. The method of claim 1 , wherein the audible query includes a question about an organoid assay.

18. The method of claim 1 , wherein the audible query includes a question about a pathology image.

19. The method of claim 1 , wherein the audible query includes a question about a disease type.

20. The method of claim 1 , wherein the at least one weightable intent is an intent related to a biomarker.

21. The method of claim 20 , wherein the biomarker is a BRCA biomarker.

22. The method of claim 1 , wherein the at least one weightable intent is an intent related to a clinical condition.

23. The method of claim 1 , wherein the at least one weightable intent is an intent related to a clinical trial.

24. The method of claim 1 , wherein the at least one weightable intent comprises a drug intent related to a drug.

25. The method of claim 24 , wherein the drug intent is related to chemotherapy.

26. The method of claim 24 , wherein the drug intent is an intent related to a PARP inhibitor.

27. The method of claim 1 , wherein the at least one weightable intent is related to a gene.

28. The method of claim 1 , wherein the at least one weightable intent is related to immunology.

29. The method of claim 1 , wherein the at least one weightable intent is related to a knowledge database.

30. The method of claim 1 , wherein the at least one weightable intent is related to testing methods.

31. The method of claim 1 , wherein the at least one weightable intent is related to a gene panel.

32. The method of claim 1 , wherein the at least one weightable intent is related to a report.

33. The method of claim 1 , wherein the at least one weightable intent is related to an organoid process.

34. The method of claim 1 , wherein the at least one weightable intent is related to imaging.

35. The method of claim 1 , wherein the at least one weightable intent is related to a pathogen.

36. The method of claim 1 , wherein the at least one weightable intent is related to a vaccine.

37. The method of claim 1 , wherein the at least one data operation includes an operation to identify at least one treatment option.

38. The method of claim 1 , wherein the at least one data operation includes an operation to identify knowledge about a therapy.

39. The method of claim 1 , wherein the at least one data operation includes an operation to identify knowledge related to at least one drug.

40. The method of claim 1 , wherein the at least one data operation includes an operation to identify knowledge related to mutation testing.

41. The method of claim 1 , wherein the at least one data operation includes an operation to identify knowledge related to mutation presence.

42. The method of claim 1 , wherein the at least one data operation includes an operation to identify knowledge related to tumor characterization.

43. The method of claim 1 , wherein the at least one data operation includes an operation to identify knowledge related to testing requirements.

44. The method of claim 1 , wherein the at least one data operation includes an operation to query for definition information.

45. The method of claim 1 , wherein the at least one data operation includes an operation to query for expert information.

46. The method of claim 1 , wherein the at least one data operation includes an operation to identify information related to recommended therapy.

47. The method of claim 1 , wherein the at least one data operation includes an operation to query for information relating to the plurality of patients.

48. The method of claim 47 , wherein the at least one data operation includes an operation to query for information relating to patients with one or more clinical characteristics similar to the plurality of patients.

49. The method of claim 1 , wherein the at least one data operation includes an operation to query for information relating to patient

Assignees

• Tempus Labs
• Tempus Labs Inc

Inventors

• Lefkofsky Eric
• Ozeran Jonathan

Classifications

• G10L15/22 Primary

  Procedures used during a speech recognition process, e.g. man-machine dialogue · CPC title

• G06F3/0481

  based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance · CPC title

• G06F3/167 Primary

  Audio in a user interface, e.g. using voice commands for navigating, audio feedback · CPC title

• G06F16/634

  Query by example, e.g. query by humming · CPC title

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title