Cambridge researchers have become the first to combine multiple image types—RGB (that mimics human vision), depth and ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction. Now a study by the University of Cincinnati has used a novel artificial ...

Chiesi’s abstract presentations will focus on clinical insights and patient-reported outcomes inFabry disease and alpha-mannosidosis ---- ...

ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

A nulliparous woman in her 40s presented with abdominal pain and dyspnoea during the second trimester of pregnancy. Ultrasonography revealed two large abdominal masses: the upper lesion occupied the ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Membership (fee-based) Forbes Agency Council is an invitation-only, fee-based organization ...

Abstract: In recent years, path planning for autonomous robots in complex environments has posed notable challenges due to the limitations of existing algorithms. This paper proposes an improved ...

Traumatic spinal cord injury (SCI) is a serious neurologic disorder that can result in long-term motor and sensory impairments after external damage to the spinal cord. Although anatomic MRI offers ...

We present a variation of RRT* that can explore and exploit the search space (SE) in parallel using many-core GPUs, efficiently producing an initial path that is collision-free, kinematically ...