Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
As machine learning technology improves, more businesses are looking to integrate it into their operations and improve their bottom line. Such technologies can help companies streamline their ...
Mutations in genes are the primary cause of cancer. Cancer research has mainly focused on identifying cancer-driver genes (CDGs) that may trigger tumorigenesis or promote aberrant cell growth. Modern ...
Investigators have applied artificial intelligence techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The ...
Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...
@2024 - All Right Reserved.
Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback