Idiopathic pulmonary fibrosis (IPF) is an aggressive interstitial lung disease with a high
mortality rate. Putative drug targets in IPF have failed to translate into effective therapies at …

The convergence of biology and computational science has ushered in a revolutionary era,
revolutionizing our understanding of biological systems and providing novel solutions to …

Given the unprecedented rate of global aging, advancing aging research and drug
discovery to support healthy and productive longevity is a pressing socioeconomic need …

Large Language Models (LLMs) have substantially driven scientific progress in various
domains, and many papers have demonstrated their ability to tackle complex problems with …

The role of computational tools in drug discovery and development is becoming increasingly
important due to the rapid development of computing power and advancements in …

Today's approach to medicine requires extensive trial and error to determine the proper
treatment path for each patient. While many fields have benefited from technological …

Drug development is a complex and time-consuming endeavor that traditionally relies on the
experience of drug developers and trial-and-error experimentation. The advent of artificial …

Introduction The integration of artificial intelligence (AI) into clinical pharmacology could be a
potential approach for accelerating drug discovery and development, improving patient care …

Introduction Idiopathic pulmonary fibrosis (IPF) is a progressive-fibrosing lung disease with a
median survival of less than 5 years. Currently, two agents, pirfenidone and nintedanib are …