Kidney transplantation remains the most effective treatment for end-stage kidney disease. Still, the development of de novo donor-specific antibodies (dnDSA) increases the risk of rejection and ...
Dr. Egawati Panjei serves as an Assistant Professor in the School of Computer Science at the Gallogly College of Engineering, The University of Oklahoma. Before joining OU, she held an assistant ...
How can we make sense of large-scale recordings of neural activity across learning? Theories of neural network learning with their origins in statistical physics offer a potential answer: for a given ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...
In the "futuristic" dystopian sci-fi novel Brave New World, children were created ("bred") according to an intellectual caste system that dictated their futures. Most readers agreed this was a very ...
Data science is a method to glean insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning (ML). For most organizations, it’s employed to ...
The proliferation of technology throughout modern business has created novel opportunities for financial statement fraud. But technology tools can also be leveraged to help detect and prevent fraud.
Early identification of large vessel occlusion (LVO) in patients with ischemic stroke is crucial for timely interventions. We propose a machine learning–based algorithm (JLK-CTL) that uses handcrafted ...
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