The “magic bullet” model that doctors are most comfortable with is ill-suited to some of the most disabling conditions they ...

Scientists have developed a new AI method that can work backward from patterns to uncover the hidden processes driving them.

An early warning system for sepsis, one of the deadliest infections for hospital patients, has been approved for use by the ...

Spinal cord injury (SCI) remains one of the most devastating neurological conditions, severing communication between the ...

Doctors and patients are gaining an edge in the fight against Alzheimer’s disease by catching early warning signs with new screening methods.

Recursive self-improvement is emerging, but humans are still in the loop ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

In almost every lab at the Institute, researchers are delving into AI. And the tools they’re developing and deploying have already turbocharged existing methods and opened new pathways to discovery.

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...