Results 241 to 250 of about 320,245 (358)
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source
Reasoning-based LLMs surpass average human performance on medical social skills. [PDF]
Alohali KI +4 more
europepmc +1 more source
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue +4 more
wiley +1 more source
A CFIR-guided qualitative study of digital health engagement among Black adults with type 2 diabetes. [PDF]
El Zein A +7 more
europepmc +1 more source
Combatting Skepticism Against Religious Nationalism (With A Special Focus On Pakistan)
Sardar Asfandyar Cheema
openalex +1 more source
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
Community perceptions and practices on hepatic veno-occlusive disease in Tigray, Ethiopia: An explorative study challenging the attribution to Ageratum conyzoides. [PDF]
Haileselassie M +24 more
europepmc +1 more source

