Results 211 to 220 of about 361,377 (254)

Improving arrhythmic risk prediction using cardiac magnetic resonance within deep learning in ischemic heart disease. [PDF]

open access: yesNPJ Cardiovasc Health
Sen A   +9 more
europepmc   +1 more source

Hybrid Quantum Kernel Support Vector Machine for Network Intrusion Detection Using NISQ‐Compatible Quantum Circuits

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 10, October 2026.
A hybrid quantum kernel support vector machine is proposed to detect network intrusions with NISQ devices. The proposed framework combines classical preprocessing with fidelity‐based quantum feature mapping, achieving enhanced accuracy and robustness against cybersecurity threats and leveraging modern benchmark datasets, offering a glimpse of the ...
Mohammad Rafeek Khan   +4 more
wiley   +1 more source

Lanthanide Nanoparticles With Dual Enzyme Mimetic Activities for Targeted Treatment of Gram‐Negative Bacterial Infections

open access: yesRare Metals, Volume 45, Issue 10, October 2026.
ABSTRACT Gram‐negative (G−) bacterial infections, fueled by intrinsic antibiotic resistance stemming from their unique outer membrane architecture, pose a critical global clinical challenge. This study introduces a pioneering dual‐enzyme‐mimetic nanotherapy based on NaYbF4 nanoparticles (NaYbF4 NPs) that achieves synergistic antibacterial and anti ...
Yuxiang Zhang   +6 more
wiley   +1 more source

Performance of Large Language Models in Answering Otolaryngology Clinical Questions in Non‐English Languages

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 12, Issue 5, Page 553-558, October 2026.
ABSTRACT Background Large language models (LLMs) such as ChatGPT are being explored for various medical applications, but their performance across languages is not established. Despite the promising results in English from previous studies, it is unclear how ChatGPT performs in other languages.
Eugene Oh   +13 more
wiley   +1 more source

Cafestol-derivatives as potential FXR agonists and CYP7A1 inhibitors and their impact on hypercholesterolemia: an in silico study. [PDF]

open access: yesSci Rep
da Silva MAE   +5 more
europepmc   +1 more source

Multi‐Sequence Fusion MRI Deep Learning Models for Discrimination of Recurrent Nasopharyngeal Carcinoma and Osteoradionecrosis

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 12, Issue 5, Page 576-585, October 2026.
ABSTRACT Objectives To develop a multi‐sequence fusion model based on MRI images to differentiate between recurrent nasopharyngeal carcinoma (rNPC) and osteoradionecrosis (ORN) in patients with nasopharyngeal carcinoma (NPC) after radiotherapy, and to evaluate its diagnostic performance.
Wen‐Tao Gong   +11 more
wiley   +1 more source

How Data Uncertainty Influences Estimates of Root Zone Water Storage Capacity

open access: yesWater Resources Research, Volume 62, Issue 10, October 2026.
Abstract Root zone water storage capacity (SR ${S}_{R}$) sets the lower limit on the water available to plants and is critical for modeling terrestrial water and carbon fluxes. Due to subsurface heterogeneity in soils, roots, and geology, in‐situ measurements of SR ${S}_{R}$ are infeasible at regional to global scales.
Christopher J. Heckman   +1 more
wiley   +1 more source

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