Medical Simulation TRIZ Cases
- Nerve Mapping via Electrical Stimulus and Virtual Workspace
Electrodes deliver stimuli to intracorporeal tissue while sensors monitor muscle responses for nerve localization.
- Ear Insert Design Using Sub-Dermal Anatomical Scanning
A digital ear insert design method uses CT or MR scanning to capture sub-dermal anatomical features for precise manufacturing.
- Healthcare Recommendation System Cost Prediction
Predicts follow-up procedures and recommends cost-effective providers to resolve unexpected billing complexity.
- Spinal Cord Neuromodulation Programming Tool
Software system determines electrode positions and stimulation parameters to target functional regions, reducing programming time.
- Diabetes Diagnostic Model Reciprocal Organ Block Glucose Insulin Balance
Reciprocal inflow and outflow between simulated organ blocks balance glucose and insulin dynamics, resolving accuracy issues in pathological condition analysis.
- Additive Smoothing for Low-Coverage Sequencing Data Noise Reduction
Applying additive smoothing via pseudocounts to genomic bins reduces noise in low coverage sequencing data, preventing false positive cancer calls.
- Computational Infant Skin Model for Surfactant Mildness Prediction
A computational model predicts infant skin barrier function using adult marker penetration data to evaluate surfactant systems.
- Neuromorphic Synaptic Model Hardware Architecture
Hardware-based synaptic modeling replaces software simulations to resolve the trade-off between biological precision and computational cost.
- SVM Patient State Detection via Feature Vector Classification
Support vector machine algorithms classify physiological signals into distinct patient states using extracted feature vectors for real-time monitoring.
- Antibody Biomarker Panel for Cancer Immunotherapy Outcome Prediction
Measuring baseline and post-treatment antibody levels against multiple predetermined biomarkers identifies patients with positive therapeutic outcomes.
- Automated Patient Positioning in Medical Imaging Systems
Processor determines first and second position information from image data to automatically adjust the scanning table and imaging device parameters.
- Strain Sensor Orthosis for Body Geometry Capture
A stretchable article with embedded strain sensors detects material deformation to determine three-dimensional body geometry.
- Wireless Patient Simulator for Realistic Obstetric Training
Wireless patient simulator replicates maternal and fetal physiology to resolve the trade-off between realistic obstetric training and high equipment costs.
- Orthosis Production Using Digital Scanning and Additive Manufacturing
Optical scanning replaces plaster casts to generate precise digital models for additive manufacturing, resolving fit inaccuracies in orthosis production.
- Personalized Pollen Allergy Prediction Using Symptom Diaries
A personalized pollen allergy prediction system combines user symptom diaries with regional pollen calendars to generate individual risk forecasts.
- Computational MRI Safety Assessment for Implanted Devices
A computational tool predicts RF-induced heating of implanted medical devices during MRI scans using patient-specific biometric data.
- SVR Model Predicting Nocturnal Hypoglycemia in Type 1 Diabetes
Support vector regression model predicts nocturnal hypoglycemia risk using continuous glucose monitoring data.
- Multi-Stage Cannabinoid Formulation for Controlled Release Timing
A multi-stage pharmaceutical composition uses segmented release profiles to manage cannabinoid bioavailability and onset timing.
- Pre-degenerated Bone Model for Customized Arthroplasty Jig Design
Automated algorithms restore joint alignment in computerized bone models, reducing manual labor and improving implant accuracy during surgery.
- Wearable Sensor System for Neurological Motor Skill Therapy
A wearable sensor system uses machine learning to adjust transducer pressure for personalized patient therapy.
- Phylogenetic Analysis Platform for Proteomic Data Classification
A phylogenetic analysis platform parses mass spectrometry serum profiles to group specimens into biologically meaningful clades.