Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Abstract: Machine learning systems often require updates for various reasons, such as the availability of new data or models and the need to optimize different technical or ethical metrics. Typically, ...
AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
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