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 ...

One of the critical prerequisites for efficient PCR-based diagnosis in a molecular laboratory is accurate primer design. The conventional primer design process relies on rule-based algorithms to ...

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 ...

This matrix forms the foundation for key evaluation metrics. For problems with more than two classes, the confusion matrix extends to an N x N table. Each row represents actual classes, and each ...

Chronic kidney disease-mineral bone disorder is a common complication in patients with chronic kidney disease (CKD) and end-stage kidney disease (ESKD), and it increases the risk of osteoporosis and ...

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 ...

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 ...

As I approach my last month of grad school, I got myself reminiscing about the classes I enjoyed the most during my journey in higher education. If you know me, you know that I am very curious about ...