In 2015, AI in drug discovery was still a theoretical pursuit – exciting, but unproven. A few early start-ups were applying deep learning to virtual screening and molecular modelling, but the industry ...

Drug screening is the process by which potential drugs are identified and optimized before selection of a candidate drug to progress to clinical trials. It can involve screening large libraries of ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...

Whether you receive a Social Security check or care for an aging parent, you understand the unique healthcare challenges often accompanying aging. Your healthcare providers should, too. St. Luke’s ...

Objectives To explore the factors influencing medication adherence and the medication needs of patients with schizophrenia when living in a community in China. Design A qualitative study. Setting ...

Anticholinergic medications block certain receptors to help control bladder contractions. Botox injections in the bladder can help when other medications have failed. Beta-3 adrenergic agonists are ...