Results 61 to 70 of about 34,150 (257)
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang +15 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Duloxetine is a serotonin-noradrenaline reuptake inhibitor. It has been increasingly used in child and adolescent psychiatric practice in recent years. In this paper, we presented a 16-year-old male patient diagnosed with generalized anxiety disorder who
Kemal Utku Yazici, Ipek Percinel Yazici
doaj +1 more source
Visual Hallucinations in an Old Patient after Cataract Surgery and Treatment
Sensory visual pathologies, accompanying simple or complex visual hallucinations that occur in visually-impaired individuals due to ophthalmologic or brain pathologies related to visual pathways in patients without mental disorders, are defined as ...
Halil Ozcan, Atakan Yucel, Orhan Ates
doaj +1 more source
Lorlatinib‐induced visual and auditory hallucinations: A case report
Lorlatinib can cause visual and auditory hallucinations. And, it is necessary to keep in mind that hallucinations can persist even after discontinuation in patients who develop hallucinations while receiving lorlatinib.
Jun Hakamata +7 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Amenze Angel Osa, 1, 2 Trent J Bowen, 1 Jess T Whitson 1 1Department of Ophthalmology, University of Texas Southwestern Medical Center, Dallas, TX, USA; 2Department of Ophthalmology, The Ohio State University, Columbus, OH, USACorrespondence: Jess T ...
Osa AA, Bowen TJ, Whitson JT
doaj
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source

