A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

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 ...

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is used for advanced Parkinson’s disease treatment to improve the quality of life of patients by alleviating motor symptoms, as well as ...

A new algorithm can identify the most predictive data points that a tipping point is near. Whether you're trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look ...

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

It is critical for manufacturers such as food processors to recognize that while AI has the potential to become the turbocharger of operations, that transformation rarely happens by simply bolting on ...

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 ...

A develops brand algorithms by looking at both online and offline data points to determine who to reach and where to target them.

Danny Sullivan, Google's Search Liaison, posted on X explaining the differences between algorithm updates, like core updates, and then data refreshes, the data that goes into those ranking systems.

Ride-hailing app Uber has launched a “dynamic pricing” algorithm in London to automatically set variable pay for drivers and fares for passengers, but the drivers’ union claims there is no ...