An analytics-driven "decision framework" that accounts for the socioeconomic and demographic factors of patients can promote ...

Nowadays, having advanced data engineering isn’t just a nice to have it’s essential. Healthcare organizations are leading state of the art technologies to handle huge amounts of clinical, insurance, ...

Medical research is undergoing a paradigm shift with real-time data processing, fundamentally transforming clinical ...

The research team noted that racial subgroups are underrepresented in clinical trials, a factor that should be addressed in ...

Startups continue to emerge that bring fresh approaches to accelerating digital transformation, expanding what's possible with AI and analytics, breaking down silos, enhancing security, improving data ...

In clinical research, data accuracy directly affects decision-making, patient safety, and regulatory compliance. That’s why ...

CTI grew from a Cincinnati startup to a global leader in clinical research. CEO Tim Schroder shares insights on its success ...

In the age of technology, healthcare is experiencing a digital transformation powered by advanced data analytics and predictive modeling. Hospitals and medical institutions are increasingly relying on ...

CATEGORY: Administrative Safeguards TYPE: Addressable Implementation Specification for Contingency Plan Standard CITATION: 45 CFR 164.308(a)(7)(ii)(E) The University at Buffalo Information Technology ...

The CSF biomarkers tau and amyloid ß (Aß) show promise as tools in the diagnostic work-up patients with suspected Alzheimer’s disease (AD) and to monitor treatment effects in AD clinical trials.

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...