Drug discovery and development pipelines are long, complex and depend on numerous
factors. Machine learning (ML) approaches provide a set of tools that can improve discovery …

The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

Deep learning has been applied to many areas in health care, including imaging diagnosis,
digital pathology, prediction of hospital admission, drug design, classification of cancer and …

Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …

Artificial intelligence is playing an increasingly important role in many fields of medicine,
assisting physicians in most steps of patient management. In nephrology, artificial …

Kidney transplantation is a critical treatment option for end-stage kidney disease patients,
offering improved quality of life and increased survival rates. However, the complexities of …

Traditional Chinese medicine (TCM) formula is widely used for thousands of years in clinical
practice. With the development of artificial intelligence, deep learning models may help …

With the rapid development of natural language processing technologies, more and more
text steganographic methods based on automatic text generation technology have appeared …

A rising amount of research demonstrates that artificial intelligence and machine learning
approaches can provide an essential basis for the drug design and discovery process. Deep …

The International Classification of Diseases (ICD) is a standard for categorizing physical
conditions, which has been widely used for analyzing clinical data and monitoring health …