Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
AZoLifeSciences on MSN
Machine learning model accelerates manufacturing timeline of monoclonal antibodies
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions.
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...
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