Results 191 to 200 of about 137,842 (266)

Cleft lip and palate-generative pre-trained transformer: A parameter-efficient, domain-specific language model for cleft lip and palate clinical applications. [PDF]

Digit Health
He X, Zhong X, Wang J, Zhen K, Wu J, Tian B, Chen L, Yan H, Lyu G.   +8 more
europepmc   +1 more source

Myocardial inflammation is associated with impaired mitochondrial oxidative capacity in ischaemic cardiomyopathy

ESC Heart Failure, Volume 12, Issue 2, Page 1246-1255, April 2025.
Abstract Aims Myocardial inflammation and impaired mitochondrial oxidative capacity are hallmarks of heart failure (HF) pathophysiology. The extent of myocardial inflammation in patients suffering from ischaemic cardiomyopathy (ICM) or dilated cardiomyopathy (DCM) and its association with mitochondrial energy metabolism are unknown.
Julius Borger, Elric Zweck, Constanze Moos, Patrick Horn, Fabian Voß, Heinz‐Peter Schultheiss, Jacob Eifer Møller, Udo Boeken, Hug Aubin, Artur Lichtenberg, Malte Kelm, Michael Roden, Amin Polzin, Ralf Westenfeld, Julia Szendroedi, Daniel Scheiber   +15 more
wiley   +1 more source

Latency-Aware Benchmarking of Large Language Models for Natural-Language Robot Navigation in ROS 2. [PDF]

Sensors (Basel)
Das M, Hussain Z, Nawaz M.
europepmc   +1 more source

Interpretation of in vitro concentration‐response data for risk assessment and regulatory decision‐making: Report from the 2022 IWGT quantitative analysis expert working group meeting

Environmental and Molecular Mutagenesis, EarlyView.
Abstract Quantitative risk assessments of chemicals are routinely performed using in vivo data from rodents; however, there is growing recognition that non‐animal approaches can be human‐relevant alternatives. There is an urgent need to build confidence in non‐animal alternatives given the international support to reduce the use of animals in toxicity ...
Marc A. Beal, Guangchao Chen, Kerry L. Dearfield, Min Gi, Bhaskar Gollapudi, Robert H. Heflich, Katsuyoshi Horibata, Alexandra S. Long, David P. Lovell, Barbara L. Parsons, Stefan Pfuhler, John Wills, Andreas Zeller, George Johnson, Paul A. White   +14 more
wiley   +1 more source

GPT-4o and OpenAI o1 Performance on the 2024 Spanish Competitive Medical Specialty Access Examination: Cross-Sectional Quantitative Evaluation Study.

JMIR Med Educ
Benito P, Isla-Jover M, González-Castro P, Fernández Esparcia PJ, Carpio M, Blay-Simón I, Gutiérrez-Bedia P, Lapastora MJ, Carratalá B, Carazo-Casas C.   +9 more
europepmc   +1 more source

Divergent creativity in humans and large language models. [PDF]

Sci Rep
Bellemare-Pepin A, Lespinasse F, Thölke P, Harel Y, Mathewson K, Olson JA, Bengio Y, Jerbi K.   +7 more
europepmc   +1 more source

Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing (IWGT)

Environmental and Molecular Mutagenesis, EarlyView.
Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons, Marc A. Beal, Kerry L. Dearfield, George R. Douglas, Min Gi, B. Bhaskar Gollapudi, Robert H. Heflich, Katsuyoshi Horibata, Michelle Kenyon, Alexandra S. Long, David P. Lovell, Anthony M. Lynch, Meagan B. Myers, Stefan Pfuhler, Alisa Vespa, Andreas Zeller, George E. Johnson, Paul A. White   +17 more
wiley   +1 more source

ChatGPT improves usability, effectiveness, scalability, interpretability and accessibility, in early diagnosis of metabolic dysfunction-associated fatty liver disease. [PDF]

BMC Gastroenterol
Zhou X, Gao Z, Ma H, Hu J, Xu C, Shen Z, Tan M, Yu C.   +7 more
europepmc   +1 more source

Quantifying the impact of a computer‐aided diagnostic score on the clinical diagnosis of functional seizures

Epilepsia, EarlyView.
Abstract Objective The diagnosis of functional/dissociative seizures (FDS) without ictal video‐electroencephalography is challenging. The Functional/Dissociative Seizures Likelihood Score (FSLS) is a machine learning‐based diagnostic score that aims to help clinicians identify FDS.
Wesley T. Kerr, Katherine N. McFarlane, Corinne H. Allas, Samuel W. Terman, Markus Reuber, Sung Hyun Seo, Payge Barnard, Adriana Y. Koek, Amir H. Karimi, Siddhika S. Sreenivasan, Jena S. Grauer, Di Sun, Meagan Watson, Elissa H. Patterson, James Castellano, Anto I. Bagić, L. Brian Hickman, Kenneth H. Kutschman, Laurence Knowles, Alistair Wardrope, Piyush Ostwal, Bridget K. MacDonald, Melissa Berry, Lomalan Reddy, Najda Robinson‐Mayer, Nicholas J. Beimer, Rachna Reddy, Sarah K. Yaghoubi, Laura A. Kirkpatrick, Danielle R. Carns, Alex J. Israel, Jamie D. Feusner, Zongqi Xia, Yanshan Wang, Laura A. Strom, Page B. Pennell, John M. Stern, Lubomir Hadjiiski, William C. Stacey   +38 more
wiley   +1 more source