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Open access Sep 2026

Deep Learning for Schatzker Classification on Anteroposterior Radiographs: A Controlled Benchmark and a Transferable Control Protocol

Background/Objectives: Schatzker type is assigned early, usually from the anteroposterior (AP) radiograph. A single benchmark accuracy cannot say whether a model read the fracture, the anatomy around it, the annotation, or how the archive was assembled. We ran four inexpensive controls to separate those contributions....

Sang Hyun Na, S. Ahn · 0 citations
Open access Oct 2026

Human Skin Permeability Prediction by Machine Learning for Transdermal Drug Delivery

Background and Objectives: The dose a transdermal patch delivers is governed by the drug’s permeability coefficient (Kp) across skin, and the reference Potts–Guy equation assumes log Kp is linear in lipophilicity and molecular weight. Whether that form holds across the whole of the public human data, and how far such a...

Seunghwan Oh, S. Ahn · 0 citations

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