Results 61 to 70 of about 1,693,918 (338)

Artificial Intelligence in Medicine

Bangladesh Journal of Medicine, 2023
Abstract not available Bangladesh J Medicine 2023; 34(2): 69 ...
openaire   +3 more sources

Understanding and measuring mechanical signals in the tumor stroma

FEBS Open Bio, EarlyView.
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz, Chiara Cimmino, Maurizio Ventre, Alessandra Cambi   +3 more
wiley   +1 more source

Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data

Nature Communications
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science.
Taoyong Cui, Chenyu Tang, Dongzhan Zhou, Yuqiang Li, Xingao Gong, Wanli Ouyang, Mao Su, Shufei Zhang   +7 more
doaj   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Community evolution prediction based on feature change patterns in social networks

Scientific Reports
Predicting community evolution in dynamic social networks is crucial for relevant authorities to understand trends and implement safety measures in advance.
Jingyi Ding, Guojing Sun, Tiwen Wang, Licheng Jiao, Junzhao Du, Jianshe Wu, Hongfei Wang, Ruohui Cheng   +7 more
doaj   +1 more source

Nature-Inspired Intelligent Computing: A Comprehensive Survey

Research
Nature, with its numerous surprising rules, serves as a rich source of creativity for the development of artificial intelligence, inspiring researchers to create several nature-inspired intelligent computing paradigms based on natural mechanisms.
Licheng Jiao, Jiaxuan Zhao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Ronghua Shang, Yangyang Li, Wenping Ma, Shuyuan Yang   +9 more
doaj   +1 more source

Towards an Intelligent Database System Founded on the SP Theory of Computing and Cognition

, 2003
The SP theory of computing and cognition, described in previous publications, is an attractive model for intelligent databases because it provides a simple but versatile format for different kinds of knowledge, it has capabilities in artificial ...
Abdelguerfi, Adleman, Adleman, Allison, Anderson, Attneave, Barlow, Barlow, Bertino, Booch, Chater, Chen, Cho, Connolly, J. Gerard Wolff, Laird, Li, Louri, Mahapatra, Newell, Oldfield, Page, Rosenbloom, Sankoff, Solomonoff, Wolff, Wolff, Wolff, Wolff, Wolff, Wolff   +30 more
core   +2 more sources

Artificial intelligence in nanotechnology [PDF]

Nanotechnology, 2013
During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biological nanosystems, the classification of material properties at the nanoscale, theoretical approaches and simulations ...
Gómez Moñivas, Sacha, Varona Martínez, Pablo   +1 more
openaire   +4 more sources

Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients. Methods This cohort study included patients arriving within 24 h of symptom onset between August 2021 and July 2022 as the derivation cohort ...
Zeqiang Ji, Yunyi Hao, Bin Gao, Xiaojing Zhang, Yani Zhang, Jiaokun Jia, Xue Xia, Yuhao Guo, Sijia Li, Jianwei Wu, Kaijiang Kang, Xingquan Zhao   +11 more
wiley   +1 more source

Learning from AI : new trends in database technology [PDF]

, 1985
Recently some researchers in the areas of database data modelling and knowledge representations in artificial intelligence have recognized that they share many common goals.
Bic, Lubomir, Gilbert, Jonathan P.
core   +1 more source