Results 261 to 270 of about 2,554,253 (371)

A study on classification based concurrent API calls and optimal model combination for tool augmented LLMs for AI agent. [PDF]

Sci Rep
Go H, Park S.
europepmc   +1 more source

Evaluating the effectiveness of distortion self‐correction for CEST‐EPI

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 555-568, January 2026.
Abstract Purpose EPI is a fast acquisition sequence, but suffers from geometric distortion because of B0 field inhomogeneity. This study aims to evaluate the effectiveness of using ΔB0 map generated from single‐shot CEST‐EPI to achieve distortion self‐correction (DISC).
Yang Liu, Se Weon Park, Lok Hin Law, Kexin Wang, Licheng Ju, Jiadi Xu, Kannie W. Y. Chan, Jianpan Huang   +7 more
wiley   +1 more source

Enhanced pre-recruitment framework for clinical trial questionnaires through the integration of large language models and knowledge graphs. [PDF]

Sci Rep
Zihang C, Liang L, Qianmin S, Gaoyi C, Jihan H, Ying L.   +5 more
europepmc   +1 more source

Turbo Code Performance Analysis Using Hardware Acceleration

, 2016
Oskar Nordmark
openalex   +1 more source

In vitro characterization of hemodynamics in bicuspid aortic valves: The impact of valve and ascending aortic morphologies

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 411-429, January 2026.
Abstract Purpose This study investigated the effect of bicuspid aortic valve (BAV) morphology and ascending aortic curvature (AAAc) bending angles on aortic hemodynamics, focusing on transvalvular jets and secondary helical flows that contribute to systolic hemodynamic stress linked to aortic complications.
Kaoru Hattori, Natsuki Nakama, Jumpei Takada, Michinobu Nagao, Yasuhiro Goto, Hiroshi Niinami, Kiyotaka Iwasaki   +6 more
wiley   +1 more source

Benchmarking speech-to-text robustness in noisy emergency medical dialogues: an evaluation of models under realistic acoustic conditions. [PDF]

JAMIA Open
Moser D, Stanic N, Sariyar M.
europepmc   +1 more source

A CSF Background Suppression Scheme in Arterial Spin Labeling MRI

NMR in Biomedicine, Volume 39, Issue 1, January 2026.
Arterial spin labeling MRI suffers from signal instability due to CSF pulsation, which are not fully addressed by conventional tissue‐focused background suppression (BS). We developed a CSF BS scheme and demonstrated its advantages in both single‐ and multi‐delay ASL.
Zhiyi Hu, Wen Shi, Yifan Gou, Zihan Wang, Vivek S. Yedavalli, Doris D. Lin, Hanzhang Lu   +6 more
wiley   +1 more source

Benchmarking large language models for genomic knowledge with GeneTuring. [PDF]

Brief Bioinform
Shang X, Liao X, Ji Z, Hou W.
europepmc   +1 more source

Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput

PROTEOMICS, Volume 26, Issue 1, Page 68-81, January 2026.
ABSTRACT Proteomic experiments, particularly those addressing dynamic proteome properties, time series, or genetic diversity, require the analysis of large sample numbers. Despite significant advancements in proteomic technologies in recent years, further improvements are needed to accelerate measurement and enhance proteome coverage and quantitative ...
Ludwig R. Sinn, Ziyue Wang, Claudia P. Alvarez, Anjali Chelur, Ihor Batruch, Patrick Pribil, Daniela Ludwig, Stephen Tate, Jose Castro‐Perez, Christoph B. Messner, Vadim Demichev, Markus Ralser   +11 more
wiley   +1 more source

Applying large language models to extract information from crop trait prioritization studies

PLANTS, PEOPLE, PLANET, Volume 8, Issue 1, Page 176-184, January 2026.
Investigation of farmers', consumers', and other stakeholders' trait preferences is vital for the adoption and impact of improved crop varieties. While qualitative research methods are known to increase the depth and scope of information from respondents, only 5% of previous trait preference studies used qualitative data in their analyses. We show that
Erin E. Farmer, David Brown, Michael A. Gore, Hale A. Tufan   +3 more
wiley   +1 more source