Sony group corporation (20240161298). INFORMATION PROCESSING SYSTEM, BIOLOGICAL SAMPLE PROCESSING DEVICE, AND PROGRAM simplified abstract
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 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 20240161298 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.
- Acquisition unit (102) acquires adjustment information based on feature values of learning data.
- Processing unit (103) processes biological samples based on the adjustment information.
- Estimation unit (104) estimates a diagnosis result by inputting measurement data to the learned model.
Potential Applications
This technology could be applied in medical diagnostics, personalized medicine, and healthcare monitoring systems.
Problems Solved
This technology helps in improving the accuracy of health condition estimations, leading to better patient care and treatment outcomes.
Benefits
The benefits of this technology include more precise health condition diagnoses, personalized treatment plans, and improved patient outcomes.
Potential Commercial Applications
Potential commercial applications of this technology include medical device development, healthcare software solutions, and diagnostic services.
Possible Prior Art
One possible prior art could be the use of machine learning models in healthcare for diagnostic purposes. However, the specific method of acquiring adjustment information based on feature values of learning data may be a novel aspect of this invention.
What are the limitations of this technology in real-world applications?
This technology may face challenges in terms of scalability and integration with existing healthcare systems. Additionally, the accuracy of the estimation results may vary depending on the quality of the learning data and adjustment information.
How does this technology compare to traditional diagnostic methods?
This technology offers the advantage of using machine learning models to improve estimation accuracy, which can lead to more personalized and effective treatment plans. Traditional diagnostic methods may not always be as precise or tailored to individual patients as this innovative approach.
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.
