Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Post-COVID research has extensively focused on the efficacy of internal travel restrictions and cross-border travel has received less attention due to challenges in accessing quality data. In a major ...

Opioids are a broad group of effective pain-relieving medicines that can become highly addictive in some individuals. According to government sources, nearly 40 million people are addicted to illicit ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...

Partnership aims to accelerate precision immunotherapy by leveraging AI-powered virtual cell models to identify which patients are most likely to benefit from BOT/BAL treatment Collaboration builds on ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

Liver cancer is one of the world's deadliest malignancies, ranking as the third leading cause of cancer-related death. While advances in surgery have improved safety, recurrence after hepatectomy ...

Predictive analytics, a branch of advanced analytics, helps forecast future outcomes using historical data, statistical modeling, and machine learning. In industries like vegetation management, it has ...

As COVID-19 spread globally in 2020, many countries swiftly closed their borders to prevent the disease from entering. However, there was little scientific evidence to support the effectiveness of ...