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The following is a summary of “Development and External Validation of a Detection Model to Retrospectively Identify Patients ...
A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...
A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...
A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...
A new explainable AI tool shows strong accuracy in predicting hospital readmission after renal transplantation, offering clinicians greater risk insight.
A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...
Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in ...
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A machine learning model discovers that ~60% of Americans are confused about climate risk and ambivalent about supporting climate policyHowever, the machine-learning model shows that political identity ... Policy and Computer Science in the Department of Community Development and Applied Economics, with a secondary appointment ...
A recent study published in Sports Medicine details the development of the AI model ... The implications of the UD-developed ...
Tempus AI has signed a three-way deal with AstraZeneca and Pathos AI to construct a data-based oncology model that could ...
Researchers have developed a machine learning model that predicts Cas9 proteins that can be tailored with designer properties for therapeutic use.
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