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

Journals Polymers , Volume/Issue: ,Pages:,2026

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Erişim Bağlantısı
Abstract

Özet verisi bulunmamaktadır.

  • Kapsamı

    Uluslararası

  • Type

    Hakemli

  • Index info

    SCI

  • Language

    Türkçe

  • Article Type

    Özgün Makale

  • Keywords

    molecularly imprinted polymers;conformal prediction;trustworthy machine learning;distribution-free uncertainty quantification;rational monomer selection;GFN2-xTB;epitope imprinting;CA 19-9;MUC1-Tn;certified in-silico screening