The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...
In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...
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A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.
Both the UK and US Governments have pledged to end research using animals, but is such a goal realistic? And how might it change medical research? Talha Burki reports.
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
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Medical AI models need more context to prepare for the clinic: Challenges and potential solutions
Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, ...
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.
Human challenge trials offer a complementary approach. By safely and deliberately exposing healthy adult volunteers to a well characterised virus under controlled conditions, researchers can generate ...
A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...
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