Results 101 to 110 of about 40,689 (263)
Bridging semantic gap: learning and integrating semantics for content-based retrieval
Digital cameras have entered ordinary homes and produced^incredibly large number of photos. As a typical example of broad image domain, unconstrained consumer photos vary significantly. Unlike professional or domain-specific images, the objects in the photos are ill-posed, occluded, and cluttered with poor lighting, focus, and exposure.
openaire +2 more sources
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang +9 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
KEYWORD AND IMAGE CONTENT FEATURES FOR IMAGE INDEXING AND RETRIEVAL WITHIN COMPRESSED DOMAIN
The central problem of most Content Based Image Retrieval approaches is poor quality in terms of sensitivity (recall) and specificity (precision). To overcome this problem, the semantic gap between high-level concepts and low-level features has been ...
Irianto ., Y. Suhendro
doaj
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen +9 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
The Faraday Scalpel: Electrochemical Nerve Lesioning Mechanisms Studied in Invertebrate Models
Direct‐current produces nerve lesioning through discrete electrochemical reactions. Using hypoxia‐sensitive locust nerves and hypoxia‐tolerant leech nerves, we map three injury pathways: cathodic oxygen reduction, cathodic alkalization, and anodic chloride oxidation. These findings establish electrochemical lesioning—the “Faraday Scalpel”—as a precise,
Petra Ondráčková +5 more
wiley +1 more source
Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini +8 more
wiley +1 more source
Image Semantic Retrieval Challenges and Thesauri Modern Applications
Today, images are used in almost every career, and a different range of professional groups use images in their work. They have always been used as a means to convey information.
Farahnaz sadoughi +4 more
doaj

