Work

A Benchmarking Study of Classical and Quantum Machine Learning Approaches for Blood–Brain Barrier Permeability Prediction

Year: 2026

Type: conference-paper

Source: IEEE International Conference on Smart Information Systems and Technologies (SIST)

DOI: 10.1109/sist61674.2026.11596174

Authors: Aliya Jemal Getahun, Alnur Kengesbay, Baglan Imanbek, Akerke Amangeldy, Bibars Amangeldy, Zhanel Baigarayeva

Institutions: Al-Farabi Kazakh National University, Astana IT University

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7168279352

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Cites: 20

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