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 ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Two rival teams — one using machine learning, the other human eyes — race to find the first spacecraft to soft-land on the moon.
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.
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
Luna 9 was the first spacecraft to soft-land on the Moon, sending the first images from the lunar surface to Earth. The Luna ...
Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
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