Abstract Machine learning (ML) is rapidly revolutionizing many fields and is starting to
change landscapes for physics and chemistry. With its ability to solve complex tasks …

Artificial intelligence (AI) and wearable sensors are two essential fields to realize the goal of
tailoring the best precision medicine treatment for individual patients. Integration of these …

Because of its ability to find complex patterns in high dimensional and heterogeneous data,
machine learning (ML) has emerged as a critical tool for making sense of the growing …

Reticular chemistry operates in an infinite space of compositions, structures, properties, and
applications. Although great progress has been made in exploring this space through the …

Background Machine learning is a sub-field of artificial intelligence, which utilises large data
sets to make predictions for future events. Although most algorithms used in machine …

Ongoing social, political and ecological changes in the 21st century have placed more
people at risk of life-threatening acute and chronic infections than ever before. The …

Precision medicine is increasingly recognized as a promising approach to improve disease
treatment, taking into consideration the individual clinical and biological characteristics …

As competition in the biopharmaceutical market gets keener due to the market entry of
biosimilars, process analytical technologies (PATs) play an important role for process …

Background Computational prediction of drug-target interactions (DTI) is vital for drug
discovery. The experimental identification of interactions between drugs and target proteins …

Machine learning that generates biological hypotheses has transformative potential, but
most learning algorithms are susceptible to pathological failure when exploring regimes …