18550762. INFORMATION PROCESSING SYSTEM, BIOLOGICAL SAMPLE PROCESSING DEVICE, AND PROGRAM simplified abstract (Sony Group Corporation)
Contents
- 1 INFORMATION PROCESSING SYSTEM, BIOLOGICAL SAMPLE PROCESSING DEVICE, AND PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING SYSTEM, BIOLOGICAL SAMPLE PROCESSING DEVICE, AND PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
INFORMATION PROCESSING SYSTEM, BIOLOGICAL SAMPLE PROCESSING DEVICE, AND PROGRAM
Organization Name
Inventor(s)
YOSHIYUKI Kobayashi of TOKYO (JP)
INFORMATION PROCESSING SYSTEM, BIOLOGICAL SAMPLE PROCESSING DEVICE, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18550762 titled 'INFORMATION PROCESSING SYSTEM, BIOLOGICAL SAMPLE PROCESSING DEVICE, AND PROGRAM
Simplified Explanation
The present invention aims to improve estimation accuracy in diagnosing health conditions of patients or subjects using a learned model.
- An acquisition unit acquires adjustment information based on feature values of learning data.
- A processing unit performs processing on biological samples based on the adjustment information.
- An estimation unit estimates a diagnosis result by inputting measurement data to the learned model.
Potential Applications
This technology can be applied in various fields such as healthcare, medical diagnostics, and personalized medicine.
Problems Solved
1. Improved accuracy in estimating health conditions. 2. Efficient processing of biological samples for diagnosis.
Benefits
1. Enhanced precision in diagnosis. 2. Personalized and targeted treatment plans. 3. Faster and more accurate health assessments.
Potential Commercial Applications
Optimizing healthcare services, personalized medicine development, medical device advancements.
Possible Prior Art
There may be prior art related to machine learning models for health condition estimation and biological sample processing, but specific examples are not provided in this abstract.
Unanswered Questions
How does the adjustment information improve estimation accuracy?
The abstract mentions the acquisition of adjustment information based on feature values, but it does not detail how this information specifically enhances estimation accuracy.
What types of measurement data are input to the learned model for estimation?
While the abstract mentions inputting measurement data to the learned model, it does not specify the specific types of data that are used for estimation.
Original Abstract Submitted
The present invention improves estimation accuracy. An information processing system includes: an acquisition unit (102) configured to acquire adjustment information based on a feature value of learning data used for generation of a learned model that estimates a health condition of a patient or a subject; a processing unit (103) configured to perform processing on a biological sample to be judged on the basis of the adjustment information; and an estimation unit (104) configured to estimate a diagnosis result by inputting measurement data acquired by the processing to the learned model.
