Results 181 to 190 of about 259,067 (305)

Process mining in healthcare: a tertiary study. [PDF]

BMC Med Inform Decis Mak
Santos A, Leal GCL, Balancieri R.
europepmc   +1 more source

Applying process mining in health technology assessment. [PDF]

Health Technol (Berl), 2022
Dallagassa MR, Iachecen F, Furlan LHP, Ioshii SO, Carvalho DR.   +4 more
europepmc   +1 more source

ABHD17C‐Mediated S‐Depalmitoylation of BCL6B Enhances CD24 Transcription to Resist Macrophage Phagocytosis in Pancreatic Cancer

Advanced Science, EarlyView.
ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang, Di Cui, Fanzheng Meng, Xu Zhu, Liang Zhu, Liang Wu, Haifeng Hu, Jizhou Wang, Hanhui Yao, Lianxin Liu   +9 more
wiley   +1 more source

HealthProcessAI: a technical framework and proof-of-concept for LLM-enhanced healthcare process mining. [PDF]

Front Artif Intell
Illueca-Fernandez E, Chen K, Seoane F, Abtahi F.   +3 more
europepmc   +1 more source

Video Process Mining and Model Matching for Intelligent Development: Conformance Checking. [PDF]

Sensors (Basel), 2023
Chen S, Zou M, Cao R, Zhao Z, Zeng Q.
europepmc   +1 more source

SIRT6‐Mediated Deacetylation of ATF3 Promotes Silica‐Induced Lung Fibrosis by Enhancing its Nuclear Import via Binding to Importin α

Advanced Science, EarlyView.
SIRT6‐mediated ATF3 acetylation drives MGARP transcription and mitochondrial dysfunction in macrophages, promoting macrophage senescence and pulmonary fibrosis. Mechanistically, HSP70/Importin α competitively binds to ATF3, modulating its nuclear translocation.
Demin Cheng, Wenxia Bu, Fengxu Wang, Yueyuan Jin, Rongzhu Liu, Rui Zhao, Xuehai Wang, Mengna Jiang, Jinping Shen, Xinhang Cheng, Zuming Chen, Li Zhu, Jinlong Li, Zhenzhong Ge, Shichen Miao, Haotian Xu, Xiaoyu Zhou, Dongming Wang, Xinyuan Zhao   +18 more
wiley   +1 more source

Analysis of Patients' Mobility Patterns: Insights From a Process Mining-Based Longitudinal Study. [PDF]

Inquiry
Yari Eili M, Hajialiasgari F, Roozbahani MH, Rezaeenour J, Shafiee Sabet M, Mohammadi S, Atashi A.   +6 more
europepmc   +1 more source

Sequence-oriented sensitive analysis for PM2.5 exposure and risk assessment using interactive process mining. [PDF]

PLoS One, 2023
Illueca Fernández E, Fernández Llatas C, Jara Valera AJ, Fernández Breis JT, Seoane Martinez F.   +4 more
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Enhancing quality and decision-making for care pathways: An application of process mining in cancer care. [PDF]

PLoS One
Ferré F, Seghieri C, Sarv Ahrabi S, Burattin A, Vandin A.   +4 more
europepmc   +1 more source