Results 191 to 200 of about 6,845,162 (410)

Strategy implementation and organizational performance: a study of private hospitals [PDF]

open access: yes, 2005
Although there is continuing interest in the concept of strategic planning, very little research has been done to examine whether the extent to which marketing strategies are implemented in private hospitals could explain variations in their ...
Hopper, Tiana   +2 more
core  

Adverse events in British hospitals: preliminary retrospective record review

open access: yesBritish medical journal, 2001
C. Vincent   +2 more
semanticscholar   +1 more source

LONDON HOSPITAL. [PDF]

open access: green, 1905
HughM. Rigby
openalex   +1 more source

Targeting carbonic anhydrase IX/XII prevents the anti‐ferroptotic effect of stromal lactic acid in prostate carcinoma

open access: yesMolecular Oncology, EarlyView.
In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella   +18 more
wiley   +1 more source

Hospitals/residents problem [PDF]

open access: yes, 2008
A. Abdulkadiroğlu   +13 more
core   +2 more sources

Electronic health record adoption in US hospitals: the emergence of a digital “advanced use” divide

open access: yesJ. Am. Medical Informatics Assoc., 2017
Julia Adler-Milstein   +5 more
semanticscholar   +1 more source

ST. GEORGES HOSPITAL. [PDF]

open access: green, 1902
Cyril Ogle, A. Marmaduke Sheild
openalex   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

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