Therapies TRIZ Cases

Standardizing gene expression data via z-scores reduces false positives and improves reproducibility in disease diagnosis.

A wearable device tracks real-time body sensor data to detect user frustration events and automatically presents relevant instructional content.

A sobriety test device records a temporary validation code alongside the subject's image to create an un-reproducible authentication record.

Locally faithful explanation models generate dynamic interpretations of machine learning predictions for individual patients.

Real-time oxygen delivery calculation using pump flow and hematocrit prevents hypoxic organ dysfunction during cardiac surgery.

Flexible wearable sweat sensing device transports fluid through serpentine channels to biochemical assay wells for real-time composition analysis.

A configurable medical data processing workflow applies automated and operator-assisted operations to imaging data.

Accelerometers measure patient orientation to trigger alerts that improve compliance with turning protocols and prevent tissue ischemia.

A feedback module delivers immediate patient data insights during asymptomatic disease examinations.

A multigene assay analyzes expression profiles of specific genes to determine a p-score for breast tumour classification.

Optimized practice models identify critical levers within clinical procedures to prioritize improvement opportunities.

A problem-centric electronic health record interface restructures patient data to display diagnosis and treatment plans at the top of the screen.

A computing device constructs state transition graphs from individual patient treatment pathways to visualize clinical workflows.

A controller processes motion sensor signals to drive stabilizing actuators, reducing handpiece vibration and improving microsurgical precision.

A software system processes user inputs to determine hormone imbalances and recommend treatment plans.

An assistance system extracts time-series usage data to display physical condition changes for caregivers.

Anonymization layer strips patient identifiers from medical records, enabling accurate treatment quality scoring while protecting privacy.

A simulation apparatus processes anatomical model data to generate realistic ultrasound output for medical training.

Automated analysis of drawing characteristics replaces manual evaluation, resolving the trade-off between assessment accuracy and time consumption.

Boundary sequence analysis evaluates detection sensitivity in mRNA sequencing data to resolve inaccuracies caused by sample quality variability.

A healthcare management system uses image recognition to identify food and exercise activities for personalized plan execution.

A sleep assessment system generates quality metrics from biological parameters to evaluate intervention effectiveness.

An interactive medical guideline engine renders clinical protocols as navigable directed graphs for rapid access to treatment information.

A computing system prioritizes comprehensive diagnoses using classification and statistical machine learning models to generate treatment instruction sets.

An electronic clearinghouse generates unique authentication keys to decouple patient identity from prescription data for mobile pricing queries.

A genetic score combining nucleic acid polymorphisms with conventional risk factors reclassifies cardiovascular disease probability.

Inertial measurement units track patient motion to enable timely intervention during falls or seizures while managing energy consumption.

Automated sensors detect hygiene equipment usage to estimate compliance metrics, eliminating manual observation errors and privacy concerns.

A digital assistant generates customized health features by clustering shared characteristics and experience levels.

An AI health system predicts food-induced glucose spikes using real-time continuous glucose monitoring data.

Liquid chromatography tandem mass spectrometry detects organic acids in urine to evaluate health status.

A computer-based decision matrix assesses patient health status parameters to generate personalized revascularization options.

An integrated storage device automates data backup and transfer via wireless transmission, reducing manual workload.

A rescue information collection device gathers initial patient data from nearby users before emergency personnel arrive.

Automated volumetric analysis replaces manual two-dimensional measurements, reducing observer variability and improving the reliability of induction timing.

The Hemorrhoid Disease Symptom and Impact Measure system segments patient responses into six subscales to assess disease severity.

A healthcare monitoring system organizes patient data into distinct conditions, journal, and user schemas for structured tracking.

Virtual telemedicine system uses digital copies of physical exams to resolve diagnostic accuracy versus patient accessibility trade-offs.

Server minimizes a loss function balancing short-term and long-term indicators to resolve selection accuracy trade-offs.

Automated barcode and facial recognition links vision screening results to student identities, resolving manual confirmation errors.

Automated video generation system displays therapy insights with synchronized avatar narration.

Unified database links marketing attribution to patient records, enabling precise ROI calculation and improving practice profitability.

An automated emergency system uses vehicle sensors and AI recognition to initiate calls and identify victims instantly.

Segmented sensor pillows measure cervical temperature changes to resolve the contradiction between precise treatment assessment and device complexity.

An AI system replaces invasive biopsies by analyzing CT scan embeddings to evaluate immune health and predict immunotherapy response.

Cell-type selective guide RNAs resolve the trade-off between high payload capacity and off-target effects by localizing editing activity.

A two-dimensional risk-benefit display visualizes treatment options using interactive controls and iso-preference boundaries.

An automated prescription approval system analyzes rejection messages, identifies errors, and executes correction routines to improve override success rates.

Automated neonate evaluator system generates health scores using sensor data and machine learning algorithms.