Healio

Prediction tool uses eGFR trends to determine risk for kidney graft failure within 3 years

A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
EurekAlert!

AI-based prediction of train-induced environmental vibration with limited measurements

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
EurekAlert!

Are state-of-the-art deep learning traffic prediction models truly effective?

All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...
Times Higher Education

The prediction problem in management research

Does a research-based explanation hold when applied to new situations? Here’s how to predict the future as well as clarifying ...
WinBuzzer

AI Weather Models Prove Prediction Accuracy in Real-world Test with 38 Million Indian Farmers

AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...