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
The organization of individually mapped structural and functional semantic networks in aging adults. [PDF]
Ketchabaw WT +5 more
europepmc +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
Analysing Twitter semantic networks: the case of 2018 Italian elections. [PDF]
Radicioni T +3 more
europepmc +1 more source
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
Quantifying flexibility in thought: The resiliency of semantic networks differs across the lifespan. [PDF]
Cosgrove AL +3 more
europepmc +1 more source
Mapping Semantic Networks To Undirected Networks
{"references": ["Jans Aasman. Allegro graph. Technical Report 1, Franz Incorporated,\n2006.", "Nicole Alexander and Siva Ravada. RDF object type and reification in\nthe database. In Proceedings of the 22nd International Conference on\nData Engineering (ICDE-06), page 93, Washington, DC, USA, 2006.\nIEEE Computer Society.", "Marcello Bax.
openaire +2 more sources
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
Professional identity and experience of undergraduate students: an analysis of semantic networks. [PDF]
Carvalho L +3 more
europepmc +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

