Attorneys at Haynes Boone survey recent litigation, agency activity, and legislative trends shaping antitrust risk for users ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

Walmart's AI pricing patents enable instant price changes through digital shelf tags, raising concerns about algorithmic ...

A machine learning algorithm estimated 995,787 deaths caused by COVID-19 in the U.S. from March 2020 to December 2021 -- 19% ...

We explore critical stages of M&A transactions and examine how AI is now available for deployment at each stage and the ...

Abstract: Machine learning has emerged as a powerful tool for predicting signal range in wireless communication networks, offering significant improvements over conventional models. Traditional ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

At its core, machine learning, whether supervised or unsupervised, helps identify patterns in data. In order to make mathematical comparisons among data points, an algorithm often relies on the notion ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...