Abstract: Software Defect Prediction improves the software's stability and ensures the testing process is streamlined by pointing out issues in code. Software developers can manage and use their ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Conclusions: The ML models based on 2- and 6-month culture conversion could accurately predict treatment outcomes for patients with MDR/RR-TB. ML models, particularly the artificial neural network ...

Abstract: In the context of the increasing popularity of artificial intelligence prediction models, research on error analysis and evaluation mechanisms has become ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Sportsbooks have long been the primary platforms for sports betting. However, the rise of prediction markets has introduced a different option. Unlike traditional sportsbooks, prediction markets cover ...

In the field of biomedicine and public health, continuous viral mutation and evolution may enable viruses to cross species barriers, infect non-natural hosts, and subsequently trigger human-to-human ...

Prediction markets act as a leading indicator for inflation data, a new report finds. Traders are incorporating Polymarket and Kalshi forecasts into their models. Prediction markets' accuracy is ...