Over the last decade, important clinical benefits have been achieved in cancer patients by
using drug-targeting strategies. Nevertheless, drug resistance is still a major problem in …

Discovering the genetic basis of a Mendelian phenotype establishes a causal link between
genotype and phenotype, making possible carrier and population screening and direct …

That each of us is truly biologically unique, extending to even monozygotic," identical" twins,
is not fully appreciated. Now that it is possible to perform a comprehensive" omic" …

Introduction: The development of emerging in vitro tissue culture platforms can be useful for
predicting human response to new compounds, which has been traditionally challenging in …

This Perspective provides examples of current and future applications of deep learning in
pharmacogenomics, including: identification of novel regulatory variants located in …

Polygenic risk scores (PRS) have been successfully developed for the prediction of human
diseases and complex traits in the past years. For drug response prediction in randomized …

Highlights•Analysis of massive NGS datasets poses difficult computational challenges.•Big
data algorithms are often adapted for NGS analysis.•HPC becomes pivotal as NGS …

Elevation of intraocular pressure (IOP) due to therapeutic use of glucocorticoids is called
steroid-induced ocular hypertension (SIOH); this can lead to steroid-induced glaucoma …

Objectives Single nucleotide variations (SNVs) in the cytochrome P450 (CYP) gene family
are a primary cause of interindividual differences in therapeutic effects and adverse …

Highlights•Machine learning increasingly important for NGS.•Deep learning can improve
many NGS applications.•New AI techniques vital for life sciences.Next-generation …