Patient Time-Correlation Platform for Cell Therapy Scheduling
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Solution Overview
Problem
Cancer immunotherapy using base-sequence-modified immune cells is time-consuming, requiring several days to weeks for synthesizing and culturing cells, which hinders early treatment for cancer patients, especially severe cases, and necessitates efficient management across medical institutions and cell manufacturers.
Innovation Solution
An information management apparatus and non-transitory computer-readable recording medium that acquire and store time information related to synthesizing and culturing cells, associate this information with patient attributes, and calculate correlations to predict treatment schedules for personalized medicine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If base-sequence-modified immune cells are synthesized and cultured for cancer immunotherapy, then personalized treatment effectiveness is improved, but treatment time is extended to several days or weeks
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing treatment schedules based on historical data from multiple patients. The processor predicts required treatment timing and notifies relevant parties in advance, allowing preparation of materials and coordination of resources before the actual treatment begins, thus optimizing the time-consuming cell synthesis and culture process.
2Reliability
If treatment schedules are optimized for early intervention, then patient outcomes are improved, but coordination complexity between medical institutions and cell manufacturers increases
Solution Approach 1:
The information management apparatus serves multiple functions: it stores patient information, manages treatment schedules, predicts treatment timing, notifies relevant parties, and coordinates between medical institutions and cell manufacturers. This multi-functional system simplifies the coordination complexity by consolidating what would otherwise require multiple separate systems and manual communications into a single integrated platform.
3Measurement precision
If detailed time information is tracked for each treatment step, then treatment scheduling precision is improved, but data management complexity increases
Solution Approach 1:
The system segments time information into distinct categories: first time information for acquiring nucleic acids, second time information for culturing cells, and third time information for synthesizing molecules. Each segment is tracked separately and associated with specific patient attributes, allowing precise scheduling while maintaining manageable data organization through structured categorization rather than monolithic data collection.
Data Source
AI summary
An information management apparatus includes at least one processor configured to acquire first time information and second time information, the first time information being related to a time taken to acquire a predetermined amount of at least one or more specific nucleic acids based on a first cell acquired from a cancer patient, the second time information being related to a time taken to culture a second cell different from the first cell until a predetermined amount is reached; and store individual patient information in which the first time information and the second time information are associated with attribute information of the cancer patient.