Results 231 to 240 of about 847,893 (332)
Book Review: “Computer Applications in Medicine” [PDF]
openaire +1 more source
Behavioral Sciences Training Applications of a Computerized Student-Patient Encounter Log System [PDF]
Morewitz, Stephen J., Shaw, G.
core +1 more source
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
Training path of big data management and application talents based on BERTopic-TOPSIS model. [PDF]
Li Y, Huang T, Li X.
europepmc +1 more source
Reconstruction techniques in nuclear medicine time-of-flight PET [PDF]
Vandenberghe, Stefaan
core +1 more source
ABSTRACT Objective Cognitive impairment (CI) affects the quality of life in multiple sclerosis (MS). Identifying influencing factors is key to improving CI monitoring. This systematic review and meta‐analysis examines clinical and sociodemographic variables impacting the cognitive screening Symbol Digit Modalities Test (SDMT) performance across MS ...
Katalin Lugosi +8 more
wiley +1 more source
Pre‐Diagnostic Features of Multiple Sclerosis in a Diverse UK Cohort: A Nested Case–Control Study
ABSTRACT Background Many patients with Multiple Sclerosis (MS) experience nonspecific symptoms prior to diagnosis. This period—the 'MS prodrome'—has been described in socio‐economically homogeneous cohorts to date. It remains unclear to what extent events prior to an MS diagnosis differ according to social determinants of health. Methods We conducted a
Pooja Tank +3 more
wiley +1 more source
Artificial Intelligence in Cancer Oncology Through Comprehensive Bibliometric Mapping of Global Trends Impact and Conceptual Structures. [PDF]
Caraka RE +6 more
europepmc +1 more source
Longitudinal changes in salivary biomarkers in Parkinson’s disease (PD) from early (T0) to 4‐year follow‐up (T1), quantified by ELISA: oligomeric and total α‐synuclein, total and phosphorylated tau, MAP1LC3B (autophagy), and TNFa (inflammation). Blue arrows indicate direction of change at T1 vs T0 (up = increase; down = decrease).
Maria Ilenia De Bartolo +13 more
wiley +1 more source
A commentary on "Brain-computer interfaces: the innovative to unlocking neurological conditions". [PDF]
Fan C, Ding Y, Zhang H.
europepmc +1 more source

