The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Zimmer said SynTuition matched expert’s PJI diagnosis 96% of the time, outperforming pooled physicians who matched experts 91% of the time.

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...