Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
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 ...
This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.
Ex vivo lung perfusion (EVLP) provides a platform for testing therapies but faces challenges in standardizing drug evaluation. At AAPS PharmSci 360, Xuanzi Zhou says digital twins accurately predict ...
A handheld breath test flagged lung cancer risk in a 67-person study, using eight breath chemicals and a small on-device ...
AZoMining on MSN
AI-Powered Radar Model Predicts Ground Subsidence in Mining Regions with Unprecedented Accuracy
XGBoost, this research offers a reliable framework for predicting mining subsidence, promoting sustainable practices and ...
Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...
In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.
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 ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
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