Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...
Purpose. To determine how digital transformation (DT) generates competitive advantage in Zimbabwean SMEs—using a desk-based evidence synthesis (SLR) interpreted through Resource-Based View and Dynamic ...
AI in your company – iGaming case study AI is no longer a novelty in the iGaming sector. Across operators, studios, and affiliates, leaders increasingly agree that AI will reshape the industry. Yet ...
Background Is being famous a risk factor for premature death? Previous studies indicate that famous musicians have a higher ...
Shallow seas serve as critical transition zones connecting land and the deep ocean, supplying essential resources for ...
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Smartphone motor tests can predict dopamine deficiency in Parkinson’s disease without brain scans
Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...
Background The COVID-19 pandemic reversed a decade of progress in reducing child food insufficiency in the United States.
Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...
It’s been discovered that a new tool using routine blood tests and a simple online app could help detect tuberculosis (TB) ...
News-Medical.Net on MSN
Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.
This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...
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