6don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
News-Medical.Net on MSN
The future of automation: Machine learning–driven hepatocyte and organoid counting
DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans, all contexts where ...
HER2 is a critical protein that plays a pivotal role in breast cancer cell growth and aggressiveness. Its expression level is a key indicator for treatment decisions, including the use of ...
Hosted on MSN
Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results