A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Overview AI tools analyse patient data to anticipate pain, distress, and symptom escalation well before the situation worsens.Machine learning supports tailored ...
These new AI assistants can analyze design constraints and create custom machine learning models as well as read, import and ...
Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...
When infectious diseases surge, response often comes down to timing: whether communities can position the right people and supplies before case counts spike. A new tool developed by UC San Diego with ...
AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...
Enterprise security faces a watershed as AI tools mature from passive analytics to autonomous operatives in both offense and defense. To date, traditional ...
Lotfy, A. (2026) A Digital Accounting Framework for Enhancing Solvency and Financial Evaluation in Non-Bank Financial ...
PleoGram Pleo-Gram focuses on real-time energy analytics, automation, and performance monitoring. The platform enables ...
New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...
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Web & mobile technologies to keep an eye on in 2025
Predictive analytics, AI agents and spatial computing are some of the tech trends business owners should familiarize ...
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