A Florida State University computational scientist is paving the way for future medical breakthroughs by developing ...
Researchers at Kanazawa University identified dopamine-driven neural mechanisms of motivation in a mouse model of behavioral addiction, offering insights into treatment. Assistant Professor Naoya ...
New computer models from North Carolina State University show how a variant of a common protein involved in human immune response binds to the antiviral drug abacavir, causing a severe ...
Scientists at The Scripps Research Institute (TSRI) have found that deep brain stimulation (DBS) can greatly reduce the compulsion to use heroin in standard rat models of addiction. Rats that were ...
Does using alcohol, nicotine, or cannabis engender addiction by changing the structure of brains, or does the structure of brains incline some people toward using those substances? In standard brain ...
Inductive Bio, an AI drug discovery partner developing virtual chemistry labs, received an up to $21M award to lead a project to develop next-generation models of drug toxicity to advance safer ...
Reliable prediction of drug solubility in supercritical carbon dioxide (scCO₂) is crucial for the efficient design of pharmaceutical processes, including particle engineering and supercritical ...
The method of drug processing via supercritical solvents such as carbon dioxide has been recently assessed by extensive theoretical and experimental works to optimize the process. It is of great ...
More than 100 million people in the United States suffer from metabolic dysfunction-associated steatotic liver disease (MASLD), characterized by a buildup of fat in the liver. This condition can lead ...
Grace Point Treatment Center has released an educational article examining “how drug addiction is assessed and treated within licensed clinical environments”. The resource is positioned as an ...
Despite decades of progress in pharmaceutical R&D, the earliest phase of drug discovery—where molecules are conceived and designed—remains costly, inefficient, and burdened by high failure rates. Most ...