Can we predict which organisms will grow on a particular type of sugar from genetic data or from knowing on what other sugars they can grow? To answer these and similar questions, we used an AI ...
In a dual-center cross-sectional study (N = 202), Center 1 (Capital Center for Children’s Health, Capital Medical University, n = 161) served as the development cohort and Center 2 (College of ...
1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...
These authors contributed equally to this work. Auricular deformities are common in newborns and require early diagnosis and timely intervention. Several factors highlight the necessity of a machine ...
A list of over 75 metrics, statistical techniques and data processing tools contained in scores is available here. scores is a Python package containing mathematical functions for the verification, ...
In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...
Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...
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