The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...
Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...
DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...
Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to reshape how marketers place digital ads. AdGazer, a predictive tool, ...
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AI ML talent demand grows as startups hire ML engineers and AI engineers for automation
The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
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