Results 191 to 200 of about 172,559 (244)

Causal dynamic decision-making for robotic systems in non-Markovian high-difficulty surgery. [PDF]

Front Neurol
Na G, Minghui T, Tiantian L, Yang L, Qinjian Z, Yuanxin L, Tianlei X, Fuchun S.   +7 more
europepmc   +1 more source

Tumor‐stromal crosstalk and macrophage enrichment are associated with chemotherapy response in bladder cancer

FEBS Open Bio, EarlyView.
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold, Janik Riese, Lancelot Seillier, Mark Kühnel, Julia Pannhausen, Charlotte O. J. Fröhlich, Christian Martin, Peter Boor, Matthias Saar, Danny D. Jonigk, Nadine T. Gaisa, Michael Rose   +11 more
wiley   +1 more source

Large language models and conditional rules in clinical decision support systems. [PDF]

Health Inf Sci Syst
Sivasothy S, Bingham A, Logothetis I, Barnett S, Abdelrazek M, Luckhoff C, Mathew J, Vasa R, Mouzakis K.   +8 more
europepmc   +1 more source

The role of lipid metabolism in neuronal senescence

FEBS Open Bio, EarlyView.
Disrupted lipid metabolism, through alterations in lipid species or lipid droplet accumulation, can drive neuronal senescence. However, lipid dyshomeostasis can also occur alongside neuronal senescence, further amplifying tissue damage. Delineating how lipid‐induced senescence emerges in neurons and glial cells, and how it contributes to ageing and ...
Dikaia Tsagkari, Eleftheria Panagiotidou, Nektarios Tavernarakis   +2 more
wiley   +1 more source

Temporal machine learning framework for diabetic foot ulcer healing trajectory prediction. [PDF]

Biomed Eng Online
Basiri R, Saleh A, Khan SS, Popovic MR.
europepmc   +1 more source

Associations of serum sTREM-1 and sTREM-2 with mortality and neurological prognosis in patients resuscitated from cardiac arrest: a machine learning-based approach. [PDF]

Front Med (Lausanne)
Wang L, Chen P, Chen Y, Fan Z, Yu D, Zhang W, Fu B, Gong P.   +7 more
europepmc   +1 more source