While both the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have released guidance on the ...

While Quantum computing has been reported to be five years away for many years now, companies are preparing for it by setting ...

The success of AI in healthcare is influenced more by human factors and organizational readiness than by the technology ...

AI tools are transforming EHR datasets into actionable clinical insights by identifying disease patterns, predicting ...

As the largest funder of biomedical research in the world, the NIH is considered a global paragon. Budget cuts could lead to ...

Advanced analytics leverages machine learning (ML), statistical modeling, data mining and visualizations to empower ...

Randomised controlled trials are the gold standard to assess the effectiveness and safety of clinical interventions; however, ...

A key barrier to effective PD treatment is the slow, inconsistent patient recruitment process for clinical trials, especially ...

When it comes to training artificial intelligence, OpenAI and Babylon Biosciences have shown that experienced hands can help ...

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The demand for AI in clinical trials is experiencing strong growth, primarily fueled by the rising global prevalence of chronic illnesses like diabet ...