The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...
Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply ...
Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...
Clinician-Identified Health Characteristics and Palliative Care Eligibility: Is Dementia Overlooked?
Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...
Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.
A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...
These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback