OPEMS: Health System Method for Collecting and Displaying Information for Obstetric Patients
Etedafe P. Gharoro+2 more
openalex +2 more sources
Phenotypic plasticity in a newly established set of EGFR inhibitor‐adapted NSCLC cell lines during adaptation and in established cell lines. Here, we introduce novel sublines of the EGFR‐mutant non‐small cell lung cancer (NSCLC) cell lines HCC827 and HCC4006 adapted to the EGFR kinase inhibitors gefitinib (HCC827rGEFI2μm, HCC4006rGEFI1μm), erlotinib ...
Tharsagini V. Nanthaprakash+6 more
wiley +1 more source
Building consensus on common features and interoperability use cases for community health information systems: a Delphi study. [PDF]
Holeman I+7 more
europepmc +1 more source
Study of Primary Health Care Information System in Indonesia(Biomimetics & Innovative Design)
Iwan Tutuka Pambudi+4 more
openalex +2 more sources
Liver‐specific lncRNAs associated with liver cancers
Long non‐coding RNAs (lncRNAs) are regulatory molecules with various functions. They are more tissue‐specific than proteins and can be used as potential biomarkers, particularly in cancer diagnostics and prognosis. In this review, we have systematically compiled all lncRNAs with exclusive expression in the human liver, verified their liver specificity ...
Olga Y. Burenina+3 more
wiley +1 more source
Users involvement in the electronic health information systems development process in Uganda: what is missing in relation to requirements gathering and analysis. [PDF]
Akello CK, Nabukenya J.
europepmc +1 more source
The E3 ubiquitin ligase, RNF219, suppresses CNOT6L expression to exhibit antiproliferative activity
We identified RNF219 as a CCR4‐NOT complex‐interacting E3 ubiquitin ligase that targets the CCR4‐NOT subunit CNOT6L for ubiquitination. RNF219 directly binds to the DUF3819 domain of CNOT1 through its putative α‐helix spanning amino acids 521–542. Our findings also suggest that antiproliferative activity of RNF219 is at least partially mediated by ...
Shou Soeda+9 more
wiley +1 more source
Improvements in data completeness in health information systems reveal racial inequalities: longitudinal national data from hospital admissions in Brazil 2010-2022. [PDF]
Coelho R, Rocha R, Hone T.
europepmc +1 more source