Results 91 to 100 of about 157,658 (286)
Literature Mining of Disease Associated Noncoding RNA in the Omics Era
Noncoding RNAs (ncRNA) are transcripts without protein-coding potential that play fundamental regulatory roles in diverse cellular processes and diseases.
Jian Fan
doaj +1 more source
What's unusual in online disease outbreak news? [PDF]
Background: Accurate and timely detection of public health events of international concern is necessary to help support risk assessment and response and save lives.
Collier, Nigel
core +4 more sources
A survey of current work in biomedical text mining [PDF]
The volume of published biomedical research, and therefore the underlying biomedical knowledge base, is expanding at an increasing rate. Among the tools that can aid researchers in coping with this information overload are text mining and knowledge extraction.
Aaron M, Cohen, William R, Hersh
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
Figure mining for biomedical research [PDF]
Motivation: Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types.
Iossifov, I., Rodriguez-Esteban, R.
core +1 more source
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque +7 more
wiley +1 more source
Do peers see more in a paper than its authors? [PDF]
Recent years have shown a gradual shift in the content of biomedical publications that is freely accessible, from titles and abstracts to full text. This has enabled new forms of automatic text analysis and has given rise to some interesting questions ...
Divoli, Anna +2 more
core +3 more sources
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 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

