Technological advances in genomics and imaging have led to an explosion of molecular
and cellular profiling data from large numbers of samples. This rapid increase in biological …

Advances in the biological sciences have led to an ongoing paradigm shift in toxicity testing
based on expanded application of high-throughput in vitro screening and in silico methods …

The Tox21 Data Challenge has been the largest effort of the scientific community to compare
computational methods for toxicity prediction. This challenge comprised 12,000 …

Predicting the sensitivity of tumors to specific anti-cancer treatments is a challenge of
paramount importance for precision medicine. Machine learning (ML) algorithms can be …

Screening drugs on patient biopsies from solid tumours has immense potential, but is
challenging due to the small amount of available material. To address this, we present here …

Background The traditional approaches to toxicity testing have posed multiple challenges for
evaluating the safety of industrial and environmental chemicals, pesticides, food additives …

Historically, the primary focus of cancer research has been molecular and clinical studies of
a few essential pathways and genes. Recent years have seen the rapid accumulation of …

Over the past decade, the rate of drug attrition due to clinical trial failures has risen
substantially. Unfortunately it is difficult to identify compounds that have unfavorable toxicity …

Many experimental and bioinformatics approaches have been developed to characterize the
human T cell receptor (TCR) repertoire. However, the unknown functional relevance of TCR …

Target-specific, mechanism-oriented in vitro assays post a promising alternative to
traditional animal toxicology studies. Here we report the first comprehensive analysis of the …