Candidate genetic variants included in a genetic risk algorithm may not meet standards of reasonable clinical efficacy in identifying opioid use disorder risk, according to a study published in JAMA ...
Utilising Machine Learning on clinical datasets could help to crack the enigma of feline infectious peritonitis diagnosis ...
A research team presents an AI assessor for Hall-effect ion thrusters, the engines of satellites and space probes.
While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...
A research team from KAIST Nuclear and Quantum Engineering presents an AI assesser for Hall-effect ion thrusters, the engines ...
Durga Prasad Katasani's insights highlight the transformative potential of predictive analytics in optimizing cloud migration ...
A Hall thruster is a high-efficiency propulsion device using plasma that is used for various difficult space missions, such ...
The interest in the combination of data and finance was the starting point of Yadav. At the beginning of his career, he saw a ...
Medieval friar William of Ockham posited a famous idea: always pick the simplest explanation. Often referred to as the ...
Sruthi Potru demonstrates that machine learning is not just enhancing data quality management it's fundamentally transforming ...
The review article discusses the applications of artificial intelligence (AI) in the field of fuel cells, focusing on its principles, applications, existing challenges, and future directions in ...
The spread of metastatic brain cancer presents one of the most challenging hurdles in oncology, as it often leads to poor outcomes and limited treatment options. Recent advancements in artificial ...