Physics-Constrained Conformal Screening: A Certified Machine-Learning Framework for the Rational Design of Dual Glycoepitope-Imprinted Polymers Recognizing CA 19-9 and MUC1-Tn

SENEMOĞLU YETKİN; ALTAN AYTAÇ

Physics-Constrained Conformal Screening: A Certified Machine-Learning Framework for the Rational Design of Dual Glycoepitope-Imprinted Polymers Recognizing CA 19-9 and MUC1-Tn

SENEMOĞLU YETKİN,ALTAN AYTAÇ

article (Uluslararası, Hakemli) | Yazar(lar): SENEMOĞLU YETKİN,ALTAN AYTAÇ | Yıl: 2026 | Dergi/Kurum: Journals Polymers | İndeks: SCI | Anahtar Kelimeler: molecularly imprinted polymers;conformal prediction;trustworthy machine learning;distribution-free uncertainty quantification;rational monomer selection;GFN2-xTB;epi