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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

R. Hanaya

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4 papers indexed here

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Open access Sep 2026

An ALKBH3 Inhibitor HUHS199 Suppresses Proliferation of Glioblastoma Cells by Targeting 1‐Methyladenosine on GADD45A mRNA

Glioblastoma (GBM) is a highly aggressive, poor‐prognosis brain tumor classified as WHO grade IV, for which effective treatments remain limited. Although AlkB homolog 3 (ALKBH3), a demethylase for 1‐methyladenosine (m1A) and 3‐methylcytidine (m3C) in DNA and RNA, has been implicated in cancer cell proliferation, its fu...

Manami Yamada, H. Hase, Honoka Kitamura et al. · 0 citations
Open access Oct 2026

Utility and limitations of 18F-fluciclovine PET for biopsy targeting in a nonenhancing diffuse glioma with a gliomatosis cerebri–like growth pattern: illustrative case

Contrast-enhanced MRI reflects blood-brain barrier (BBB) disruption rather than tumor biological activity, whereas 18 F-fluciclovine ( 18 F-FACBC) PET reflects amino acid metabolism independent of BBB integrity. The authors compared regional 18 F-FACBC uptake with histopathological and molecular findings in...

Soma Matsueda, Nayuta Higa, Ryutaro Makino et al. · 0 citations
Review Open access Sep 2026

Clinical characteristics of postoperative anterior arch fracture of the atlas following C1 laminectomy: 14-year experience of a single neurosurgical center

ABSTRACT Objective: Postoperative anterior arch fracture of the atlas (PAFA) is a rare but increasingly recognized complication of C1 laminectomy. However, the pathophysiology remains poorly understood. We retrospectively investigated the incidence of PAFA and associated risk factors. Methods: We retrospectively review...

Yushi Nagano, Hitoshi Yamahata, Masanori Yonenaga et al. · 0 citations
#natural language process... Preprint Sep 2026

Japanese Stroke LLM Evaluation: A Conversational Benchmark for Safe Stroke Care in Japanese Using Large Language Models

Japanese Stroke LLM Evaluation provides a benchmark for LLM performance under practice-oriented conditions, including a cap on history-taking questions, and performance improved across cloud-based and on-premise models in 2026.

Keisuke Masuda, Kazutaka Yatsushiro, H. Iwamoto et al. · 0 citations

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