full transcript

From the Ted Talk by Leila Pirhaji: The medical potential of AI and metabolites

Unscramble the Blue Letters

So we developed an aicrfiiatl intelligence, or AI, platform, to do that. We leveraged the growth of biological data and built a database of any existing information about metabolites and their incetrtionas with other mleceouls. We combined all this data as a meetgnroawk. Then, from tissues or blood of patients, we measure masses of metabolites and find the masses that are changed in a disease. But, as I moinnteed earlier, we don't know exactly what they are. A molecular mass of 180 could be either the glucose, galactose or fructose. They all have the exact same mass but different functions in our body. Our AI algorithm considered all these ambiguities. It then menid that meganetwork to find how those metabolic masses are connected to each other that result in disesae. And because of the way they are connected, then we are able to infer what each metabolite mass is, like that 180 could be glocuse here, and, more importantly, to discover how changes in glucose and other metabolites lead to a disease. This novel understanding of disease mechanisms then enlabe us to discover effective therapeutics to tgaert that.

Open Cloze

So we developed an __________ intelligence, or AI, platform, to do that. We leveraged the growth of biological data and built a database of any existing information about metabolites and their ____________ with other _________. We combined all this data as a ___________. Then, from tissues or blood of patients, we measure masses of metabolites and find the masses that are changed in a disease. But, as I _________ earlier, we don't know exactly what they are. A molecular mass of 180 could be either the glucose, galactose or fructose. They all have the exact same mass but different functions in our body. Our AI algorithm considered all these ambiguities. It then _____ that meganetwork to find how those metabolic masses are connected to each other that result in _______. And because of the way they are connected, then we are able to infer what each metabolite mass is, like that 180 could be _______ here, and, more importantly, to discover how changes in glucose and other metabolites lead to a disease. This novel understanding of disease mechanisms then ______ us to discover effective therapeutics to ______ that.

Solution

  1. artificial
  2. mined
  3. molecules
  4. meganetwork
  5. glucose
  6. disease
  7. mentioned
  8. target
  9. enable
  10. interactions

Original Text

So we developed an artificial intelligence, or AI, platform, to do that. We leveraged the growth of biological data and built a database of any existing information about metabolites and their interactions with other molecules. We combined all this data as a meganetwork. Then, from tissues or blood of patients, we measure masses of metabolites and find the masses that are changed in a disease. But, as I mentioned earlier, we don't know exactly what they are. A molecular mass of 180 could be either the glucose, galactose or fructose. They all have the exact same mass but different functions in our body. Our AI algorithm considered all these ambiguities. It then mined that meganetwork to find how those metabolic masses are connected to each other that result in disease. And because of the way they are connected, then we are able to infer what each metabolite mass is, like that 180 could be glucose here, and, more importantly, to discover how changes in glucose and other metabolites lead to a disease. This novel understanding of disease mechanisms then enable us to discover effective therapeutics to target that.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
fatty liver 3
major diseases 2
effective therapeutics 2
biological data 2
molecular mass 2

Important Words

  1. ai
  2. algorithm
  3. ambiguities
  4. artificial
  5. biological
  6. blood
  7. body
  8. built
  9. changed
  10. combined
  11. connected
  12. considered
  13. data
  14. database
  15. developed
  16. discover
  17. disease
  18. earlier
  19. effective
  20. enable
  21. exact
  22. existing
  23. find
  24. fructose
  25. functions
  26. galactose
  27. glucose
  28. growth
  29. importantly
  30. infer
  31. information
  32. intelligence
  33. interactions
  34. lead
  35. leveraged
  36. mass
  37. masses
  38. measure
  39. mechanisms
  40. meganetwork
  41. mentioned
  42. metabolic
  43. metabolite
  44. metabolites
  45. mined
  46. molecular
  47. molecules
  48. patients
  49. platform
  50. result
  51. target
  52. therapeutics
  53. tissues
  54. understanding