A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...

We dig into this influential annual report that offers a snapshot of the American economy via the lens of the logistics sector and its role in overall supply chains. The report concludes… ...

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

Making a personalized T cell therapy for cancer patients currently takes at least six months. Scientists have shown that the laborious first step of identifying tumor-reactive T cell receptors for ...

Reverse logistics is one of the trickiest operations a retailer will undertake. Getting returns from a customer’s home back to the warehouse without losing product along the way or allowing ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Logistics professionals navigating their path forward face challenging market conditions, an evolving regulatory environment, a rapidly changing technology landscape, and an increasingly competitive ...