Raw Data for Cryotherapy Thermal Model Validation

30.0 KB of raw data supporting a mathematical model for predicting subsurface temperature distribution during cryotherapy. The model, developed by Oleh V. Ivakhnenko, uses GPU simulation to predict freezing behavior in hydrogels and biological tissues, validated against experimental findings. The data was last updated in April 2026.

Use Cases

• Validate mathematical models of temperature penetration depth based on surface thermal imaging.
• Compare simulation results with experimental findings from hydrogel cryoapplications.
• Estimate optimal cryotherapy duration to minimize damage to healthy cells.
• Investigate thermal behavior in uniform and non-uniform materials with temperature-dependent properties.

Strengths

• Data supports a validated mathematical model for cryotherapy.
• Model implementation uses GPU for fast and efficient simulation.
• Includes validation against experimental hydrogel and in vivo rat studies.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 30.0 KB, indicating a very limited scope.

Provenance

Source

figshare

Collection Method

Data likely generated from simulations and experimental validation.

Freshness

Last updated 2026-04-16 17:36:51; freshness should be verified.