The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Imagine a parallel universe where physicists are remunerated so handsomely that they can accumulate multitudinous assets. In this alternate universe, you naturally wish to share your good fortune, so ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Today, machine learning, artificial intelligence, and algorithmic advancements made by research scientists and engineers are driving more targeted medical therapies through the power of prediction.

The limitations of anti-discrimination law reveal the need for an approach grounded in governance rather than individual liability, Kim argues. She notes that governance shifts the focus from ...

Cancer patient navigators (CPNs) can decrease the time from diagnosis to treatment, but workloads vary widely, which may lead to burnout and less optimal navigation. Current practice for patient ...

As governments look to regulate the online world, the scrutiny of the algorithms that sit behind popular websites and apps is only going to increase. With doubts over whether self-regulation can ever ...

How can government agencies avoid causing more harm than good when they use artificial intelligence and machine learning? A new report attempts to answer this question with a framework and best ...

Twitter owner Elon Musk continued to criticize Meta’s new rival platform Threads late Thursday, accusing the company of using its algorithms to manipulate information and highlighting its extensive ...