Results 71 to 80 of about 90,813 (262)
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
Text mining biomedical literature for constructing gene regulatory networks [PDF]
In this paper, we present the framework of a Gene Regulatory Networks System: GRNS. The goals of GRNS include automatically mining biomedical literature to extract gene regulatory information (strain number, genotype, gene regulatory relation, and phenotype), automatically constructing gene regulatory networks based on extracted information and ...
Yong-Ling, Song, Su-Shing, Chen
openaire +2 more sources
Using open access literature to guide full-text query formulation [PDF]
*Background* Much scientific knowledge is contained in the details of the full-text biomedical literature. Most research in automated retrieval presupposes that the target literature can be downloaded and preprocessed prior to query ...
Heather A. Piwowar, Wendy W. Chapman
core +3 more sources
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Text mining is rapidly becoming an essential technique for the annotation and analysis of large biological data sets. Biomedical literature currently increases at a rate of several thousand papers per week, making automated information retrieval methods ...
Hongyu eChen +3 more
doaj +1 more source
An unsupervised text mining method for relation extraction from biomedical literature. [PDF]
The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations.
Changqin Quan, Meng Wang, Fuji Ren
doaj +1 more source
Nanoinformatics: developing new computing applications for nanomedicine [PDF]
Nanoinformatics has recently emerged to address the need of computing applications at the nano level. In this regard, the authors have participated in various initiatives to identify its concepts, foundations and challenges.
Alberto Anguita +58 more
core +7 more sources
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang +6 more
wiley +1 more source
GPDminer: a tool for extracting named entities and analyzing relations in biological literature
Purpose The expansion of research across various disciplines has led to a substantial increase in published papers and journals, highlighting the necessity for reliable text mining platforms for database construction and knowledge acquisition.
Yeon-Ji Park +3 more
doaj +1 more source
A realistic assessment of methods for extracting gene/protein interactions from free text
Background The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research.
Shepherd Adrian J +2 more
doaj +1 more source

