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

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

In-hospital outcomes of acute pulmonary embolism in patients with gastrointestinal cancer: A nationwide study. This is an ASCO Meeting Abstract from the 2024 ASCO Gastrointestinal Cancers Symposium.

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

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 ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Keysight Technologies, Inc. has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite. This new solution decreases model development and extraction time from ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...