The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster, added ...

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate ...

In order to move this process out of the laboratory and make it better suited for point-of-care environments, Lee proposed integrating machine learning into the image analysis process.

Machine learning in drug discovery is becoming increasingly popular, with many researchers and pharmaceutical companies using this technology to improve the drug development process. Machine learning ...

The full dataset contained 2,523 compounds and included compounds with both senolytic and non-senolytic properties so as not to bias the machine-learning algorithm.

Machine learning plays an important role in studying drug repurposing, especially since the occurrence of COVID-19, scientists around the world used machine learning-based approaches to signal ...

In a small study, they successfully trained a machine learning algorithm to predict, ... used materials collected during the CheckMate 038 clinical trial that tested the efficacy of one immunotherapy ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

The Food and Drug Administration (FDA) has cleared the Eko Murmur Analysis Software, a cloud-based machine learning algorithm, to detect and characterize heart murmurs in adults and pediatric ...

Thanks to a pre-trained deep learning algorithm, it can detect whether that specific sample contains any bacteria or pathogens. Techcrunch event Save $450 on your TechCrunch All Stage pass ...

Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning ...

The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster. The study ...