Results 171 to 180 of about 4,362,278 (303)
2) Cardiovascular System and Kidney.
Toshihiko Ishimitsu, Hiroshi Yagi
openaire +4 more sources
Socioeconomic and demographic disparities in the impact of digestive diseases in the middle East and North Africa (MENA) region. [PDF]
Al Ta'ani O+10 more
europepmc +1 more source
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu+11 more
wiley +1 more source
At the cutting edge: the potential of autonomous surgery and challenges faced. [PDF]
Khanna R+6 more
europepmc +1 more source
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau+11 more
wiley +1 more source
Dual targeting of AKT and mTOR using MK2206 and RAD001 reduces tumor burden in an intracardiac colon cancer circulating tumor cell xenotransplantation model. Analysis of AKT isoform‐specific knockdowns in CTC‐MCC‐41 reveals differentially regulated proteins and phospho‐proteins by liquid chromatography coupled mass spectrometry. Circulating tumor cells
Daniel J. Smit+19 more
wiley +1 more source
Assessment of Automation Models in Hospital Pharmacy: Systematic Review of Technologies, Practices, and Clinical Impacts. [PDF]
Meknassi Salime G+5 more
europepmc +1 more source
This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain+3 more
wiley +1 more source
Progress in the Application of Artificial Intelligence in Ultrasound-Assisted Medical Diagnosis. [PDF]
Yan L, Li Q, Fu K, Zhou X, Zhang K.
europepmc +1 more source