Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Researchers have reported initial findings from a public-private partnership between the ECOG-ACRIN Cancer Research Group and Caris Life Sciences to improve recurrence risk assessment in early-stage ...
Alternative allele frequency recallibration after NGS data analysis. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not include a full text component.
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
BOSTON & LAUSANNE, Switzerland--(BUSINESS WIRE)--SOPHiA GENETICS SA (Nasdaq: SOPH), the creator of a leading cloud-native global data-sharing network and health analytics platform, is partnering with ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...
Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change and ...
A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed. A way of using machine learning to more accurately identify ...
Researchers combine AI and mobile health to predict recovery from lumbar spine surgery. Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more ...
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