Metadata-Version: 2.2
Name: ai4clinic
Version: 0.0.5
Summary: ai4clinic: Bridging AI and Clinical Practice in Cancer Research
Author: Katyna Sada del Real, Josefina Arcagni
Author-email: ksada@unav.es
Keywords: python,first package
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Natural Language :: English
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.24.0
Requires-Dist: pandas>=1.5.0
Requires-Dist: matplotlib>=3.7.0
Requires-Dist: torch>=2.0.0
Requires-Dist: torchmetrics>=0.11.0
Requires-Dist: rich>=13.3.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: keywords
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary


AI 4 Clinic is a Python package designed to enhance the practical use of drug response prediction (DRP) models in clinical settings. It addresses key challenges such as model generalization to new patient scenarios and aligning model evaluations with clinical needs.

Key Features:
- Implement robust data splitting strategies
- Measure performance metrics per drug and within sensitive ranges
- Generate visualizations to illustrate model performance

This package is ideal for researchers in computational biology and medicine, aiming to translate AI advancements into clinical applications.

