Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Water is made of hydrogen and oxygen, and sometimes these atoms are slightly heavier than usual. These heavier forms are ...
GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
Economists have noticed that betting markets like Kalshi and Polymarket are pretty good at predicting not just political ...
Communicable diseases (CDs) remain a primary global cause of morbidity and mortality, necessitating rigorous surveillance to ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results