Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …

This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

Academic and pharmaceutical industry research are both key for progresses in the field of
molecular machine learning. Despite common open research questions and long-term …

In recent years, the use of artificial intelligence (AI) in health care has risen steadily,
including a wide range of applications in the field of pharmacology. AI is now used …

The efficient exploration of chemical space to design molecules with intended properties
enables the accelerated discovery of drugs, materials, and catalysts, and is one of the most …

Utilizing artificial intelligence (AI) in drug design represents an advanced approach for
identifying targets and developing new drugs. Integrating AI techniques significantly reduces …

Interstitial lung diseases (ILDs) comprise a rather heterogeneous group of diseases varying
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …

The aggregation of medin forming aortic medial amyloid is linked to arterial wall
degeneration and cerebrovascular dysfunction. Elevated levels of arteriolar medin are …

Recently, artificial intelligence (AI) techniques have been increasingly used to overcome the
challenges in drug discovery. Although traditional AI techniques generally have high …

Meaningful exploration of the chemical space of druglike molecules in drug design is a
highly challenging task due to a combinatorial explosion of possible modifications of …