Methods and systems for placebo response modeling
AssigneeGenentech, Inc.
InventorsTong LU, Angelica Linnea QUARTINO, Meina Tao TANG, Wenhui ZHANG, Rui ZHU, Matts Lennart KAAGEDAL, Sonoko KAWAKATSU
Life of this patent
Estimating the term…
Abstract
Embodiments described herein provide methods and systems for placebo response modeling. The methods and systems generally operate by using one or more statistical operations (such as one or more pharmacometric operations or artificial intelligence (AI) operations) to predict sets of predicted scores that are relevant to ulcerative colitis (UC) and that correspond to a set of time points.
Claims24
1) A method comprising:
- receiving a set of time points;
- using a first statistical operation to compute a set of predicted rectal bleeding (RB) scores and a set of predicted stool frequency (SF) scores corresponding to the set of time points;
- and
- using a second statistical operation to compute a set of predicted mucosal appearance at endoscopy (ENDO) scores corresponding to the set of time points based upon the predicted RB scores and the predicted SF scores.
9) A system comprising:
- a non-transitory memory;
- and
- one or more processor coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations comprising:
- receiving a set of time points;
- using a first statistical operation to compute a set of predicted rectal bleeding (RB) scores and a set of predicted stool frequency (SF) scores corresponding to the set of time points;
- and
- using a second statistical operation to compute a set of predicted mucosal appearance at endoscopy (ENDO) scores corresponding to the set of time points based upon the predicted RB scores and the predicted SF scores.
17) A non-transitory, machine-readable medium having stored thereon machine-readable instructions executable to cause a system to perform operations comprising:
- receiving a set of time points;
- using a first statistical operation to compute a set of predicted rectal bleeding (RB) scores and a set of predicted stool frequency (SF) scores corresponding to the set of time points;
- and
- using a second statistical operation to compute a set of predicted mucosal appearance at endoscopy (ENDO) scores corresponding to the set of time points based upon the predicted RB scores and the predicted SF scores.
Dependencies are inferred from the claim text.