Unlearn has a total of 26 patents globally, out of which 2 have been granted. Of these 26 patents, more than 84% patents are active. United States of America is where Unlearn has filed the maximum number of patents, followed by Europe and Japan. Parallelly, United States of America seems to be the main focused R&D centre and also is the origin country of Unlearn.
Unlearn was founded in the year 2017. The Company combines AI, digital twins and novel statistical methods to enable smaller, more efficient clinical trials.
Do read about some of the most popular patents of Unlearn which have been covered by us in this article and also you can find Unlearn patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Unlearn patent portfolio.
How many patents does the founder and the CEO of Unlearn have?
The founder and CEO Charles Fisher has 0 patent.
How many patents does Unlearn have?
Unlearn has a total of 26 patents globally. These patents belong to 10 unique patent families. Out of 26 patents, 22 patents are active.
How Many Patents did Unlearn File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
| Year of Patents Filing or Grant | Unlearn Applications Filed | Unlearn Patents Granted |
| 2023 | 4 | 2 |
| 2022 | 5 | – |
| 2021 | 4 | – |
| 2020 | 7 | – |
| 2019 | 6 | – |
How many Unlearn patents are Alive/Dead?
How Many Patents did Unlearn File in Different Countries?
Countries in which Unlearn Filed Patents
| Country | Patents |
| United States Of America | 10 |
| Europe | 4 |
| Japan | 3 |
| Canada | 2 |
| China | 1 |
Where are Research Centres of Unlearn Patents Located?
The Research Centre for all the Unlearn patents is the United States of America.
Best Unlearn Patents
CN111758108A is the most popular patent in the Unlearn portfolio. It has received 5 citations so far from companies like Chorus Health, Capital One Services and China Electronics Industry Engineering.
What Percentage of Unlearn US Patent Applications were Granted?
Unlearn (Excluding its subsidiaries) has filed 8 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 0 have been granted leading to a grant rate of 0.0%.
Below are the key stats of Unlearn patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Unlearn?
| Law Firm | Total Applications | Success Rate |
| Kppb Llp | 8 | 0% |
List of Unlearn Patents
| Unlearn Patents | Title |
| US11636309B2 | Systems And Methods For Modeling Probability Distributions |
| US20230352125A1 | Systems And Methods For Adjusting Randomized Experiment Parameters For Prognostic Models |
| US20230352138A1 | Systems And Methods For Adjusting Randomized Experiment Parameters For Prognostic Models |
| US20220415454A1 | Systems And Methods For Estimating Treatment Effects In Randomized Trials Using Covariate Adjusted Stratification And Pseudovalue Regression |
| US20220344009A1 | Systems And Methods For Designing Efficient Randomized Trials Using Semiparametric Efficient Estimators For Power And Sample Size Calculation |
| US20220318689A1 | Systems And Methods For Model Selection |
| US20220172085A1 | Methods And Systems To Account For Uncertainties From Missing Covariates In Generative Model Predictions |
| US20220157413A1 | Systems And Methods For Designing Augmented Randomized Trials |
| US20210117842A1 | Systems And Methods For Training Generative Models Using Summary Statistics And Other Constraints |
| US20210057108A1 | Systems And Methods For Supplementing Data With Generative Models |
| EP4256418A2 | Methods And Systems To Account For Uncertainties From Missing Covariates In Generative Model Predictions |
| EP4018394A4 | Systems And Methods For Supplementing Data With Generative Models |
| EP4220650A1 | Systems And Methods For Designing Augmented Randomized Trials |
| EP3740908A4 | Systems And Methods For Modeling Probability Distributions |
| CN111758108A | Systems And Methods For Modeling Probability Distributions |
| WO2023212734A1 | Systems And Methods For Adjusting Randomized Experiment Parameters For Prognostic Models |
| WO2022272308A1 | Systems And Methods For Estimating Treatment Effects In Randomized Trials Using Covariate Adjusted Stratification And Pseudovalue Regression |
| JP7305656B2 | Systems And Methods For Modeling Probability Distributions |
| JP2022544859A | Systems And Methods For Imputing Data Using Generative Models |
| JP2022031730A | Systems And Methods For Modeling Probability Distributions |
| CA3149229A1 | Systems And Methods For Supplementing Data With Generative Models |
| CA3088204A1 | Systems And Methods For Modeling Probability Distributions |
| WO2019143737A8 | Systems And Methods For Modeling Probability Distributions |
| WO2022120350A3 | Methods And Systems To Account For Uncertainties From Missing Covariates In Generative Model Predictions |
| WO2021077097A1 | Systems And Methods For Training Generative Models Using Summary Statistics And Other Constraints |
| WO2021041128A1 | Systems And Methods For Supplementing Data With Generative Models |
What are Unlearn key innovation segments?
What Technologies are Covered by Unlearn?
The chart below distributes patents filed by Unlearn