Advancements in Artificial Intelligence forms such as computer vision, machine learning, and deep learning assist with ...
Abstract: Air pollution is a significant global issue, being one of the leading causes of chronic diseases affecting the respiratory and neurological systems, and resulting in millions of deaths each ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
At AAPS PharmSci 360 2025, Elly Zhou says digital twins helped forecast the effects of drugs on human drugs via a digital control arm.
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
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 ...
New research shows AI can use people’s faces to estimate the year a photo was taken, combining age guesses with known birth years to beat current scene-based methods. Guessing the date of a photo used ...
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.
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 ...
OpenAI and Microsoft reportedly have their own internal benchmark for determining when AGI – vaguely defined by OpenAI as "AI systems that are generally smarter than humans" – has been achieved. That ...
The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to ...
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...
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