Results 161 to 170 of about 776,446 (291)

A CT Lesion Foundation Model for Non‐Invasive Assessment of Hepatocellular Carcinoma Aggressiveness and Prediction of Recurrence Risk

Advanced Science, EarlyView.
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia, Zhehan Shen, Mengsi Li, Jianxin Lu, Ji Xia, Yang Cheng, Wenzheng Li, Shunjie Dong, Lin Deng, Ruokun Li   +9 more
wiley   +1 more source

Blood‐Based Biomarkers in Alzheimer's Disease: Advances in Detection Technologies and Clinical Applications

AGING MEDICINE, EarlyView.
Blood‐based biomarkers are emerging as accessible tools for Alzheimer's disease screening, diagnosis, risk stratification, and longitudinal monitoring. This review summarizes major biomarkers, including Aβ42/Aβ40, phosphorylated tau species, NfL, GFAP, genetic risk markers, and exploratory inflammatory, synaptic, and proteomic candidates.
Shuangshuang Li, Lin Huang, Qihao Guo
wiley   +1 more source

Specificity effect in concrete/abstract semantic categorization task. [PDF]

Cogn Process
Lamarra T, Villani C, Bolognesi MM.
europepmc   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Slimformer: An NLP-based web server for semantic categorization of gene sets. [PDF]

Comput Struct Biotechnol J
Keogh FD, Marx J, Hiemisch A, Koenig R.
europepmc   +1 more source

An objective and sensitive electrophysiological marker of word semantic categorization impairment in Alzheimer’s disease

Objective: Combining electroencephalographic (EEG) recording and fast periodic visual stimulation (FPVS) to provide an implicit, objective and sensitive electrophysiological measure of semantic word categorization impairment in Alzheimer's Disease (AD ...
Rossion, Bruno, Quenon, Lisa, David, Justine, Volfart, Angélique, Hanseeuw, Bernard, Koessler, Laurent, Ivanoiu, Adrian, https://orcid.org/   +7 more
core   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Processing of auditory novelty in human cortex during a semantic categorization task. [PDF]

Hear Res
Nourski KV, Steinschneider M, Rhone AE, Dappen ER, Kawasaki H, Howard MA.   +5 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source