PreprintLicence not statedChemRxiv
Publication-block calibration reveals wide uncertainty in PLGA release endpoint prediction
- 1PES University
Related
- Machine learning prediction of bismuth recovery from literature data: publication-grouped validation, anchored calibration and chemical interpretation
- BRACE: Bayesian Residual-covariance Adaptive Calibration for Multi-Endpoint ADMET Prediction
- NephroTox AI: an explainable machine learning framework with uncertainty quantification for drug-induced nephrotoxicity prediction
- Pre-Refinement Prediction of Dopant Site Occupancy in M-Type Hexaferrites via Hierarchical and Uncertainty-Aware Machine-Learning.
- MatUQ: a benchmark for uncertainty-aware out-of-distribution materials property prediction with graph neural networks
BibTeX
@misc{anand2026publicationblock,
title = {{Publication-block calibration reveals wide uncertainty in PLGA release endpoint prediction}},
author = {Shereen Anand},
howpublished = {ChemRxiv},
year = {2026},
month = nov,
doi = {10.26434/chemrxiv.15011697/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011697/v1},
}
RIS
TY - UNPB
TI - Publication-block calibration reveals wide uncertainty in PLGA release endpoint prediction
AU - Shereen Anand
PY - 2026
DA - 2026/11/04
PB - ChemRxiv
DO - 10.26434/chemrxiv.15011697/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011697/v1
ER -