A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...
Adding cardiopulmonary exercise testing parameters does not significantly improve machine learning-based prediction of ...
The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Engineers at the University of California San Diego have created a new method to make large language models (LLMs)—such as ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...