Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

The rapid urbanization and technological advancements witnessed over recent decades have fundamentally reshaped the landscape of municipal solid waste management (MSWM) 1. As cities expand, the volume ...

Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke (AIS), often resulting in poor functional outcomes. However, no existing model can specifically ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

MEDDDICAL releases a guide for pharma data scientists and RWE Directors on building outcome prediction models with real-world ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

In the past decade, Artificial Intelligence and Machine Learning have moved from the pages of research papers into everyday life. AI powers voice assistants, recommendation engines, self-driving cars, ...