Deep Learning: is a subfield of machine learning done with algorithms inspired by the function of the brain called artificial neural networks. Deep learning models are inspired by information processing and communication patterns in biological nervous systems. Deep learning removes manual identification of features in data. Instead it relies on whatever training process to be able to discover the useful patterns in the input examples.
-
Precision medicine promises a more effective approach to disease treatment and management. It is based on analyzing mutations of disease samples to unlock mechanisms of disease development an...
Precision medicine promises a more effective approach to disease treatment and management. It is based on analyzing mutations of disease samples to unlock mechanisms of disease development an...
Next-generation sequencing (NGS) technologies are powerful approaches for diagnosis and surveillance of emerging infections. Unbiased metagenomic NGS can detect the full spectrum of pathogen...
Deep mutational scanning is a method that marries selection for protein function amongst a large library of protein variants with high-throughput DNA sequencing to measure the activity of hun...
The dorsal anterior cingulate cortex (dACC), orbitofrontal cortex (OFC), ventrolateral and ventromedial prefrontal cortex (vlPFC, vmPFC) and their connections with the basal ganglia play a ce...
Illumina next-generation sequencing (NGS) and microarray technologies are revolutionizing cancer research, enabling cancer variant discovery and detection and molecular monitoring. Join u...
Motor coordination relies on accurate predictions that specify how the body should move in particular sensorimotor contexts. Although such predictions are thought to be stored as associative...