Cheminformatics aims to assist in chemistry applications that depend on molecular interactions,
structural characteristics, and functional properties. The arrival of deep learning and the …

The introduction of surgical robots brought about advancements in surgical procedures. The
applications of remote telesurgery range from building medical clinics in underprivileged …

Various interpretations of the literature detailing the neural basis of learning have in part led
to disagreements concerning how consciousness arises. Further, artificial learning model …

Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly
developing fields that leverage existing datasets for developing compounds of interest. …

One basic goal of artificial learning systems is the ability to continually learn throughout that
system’s lifetime. Transitioning between tasks and re-deploying prior knowledge is thus a …

The significant mental health needs of young people in out-of-home care has been well-documented.
However, there is little empirical evidence on the timing or development of these …

BACKGROUND We hypothesize that epileptogenesis in the spontaneous seizure model we
use (ie Tg BDNF transgenic mouse strain) will emerge as detectable, gradual changes in …

Although familial adversity is associated with poorer outcomes in childhood and adulthood,
little research has looked at the influence of stability or transition between distinct familial …

Deep recurrent neural networks (DRNNs) have recently demonstrated strong performance
in sequential data analysis, such as natural language processing. These capabilities make …

An unsupervised machine-learning model, based on a self-organizing map (SOM), was
employed to extract suggested target genes from DESeq2 differential expression analysis data. …