BIOENGINEER

Machine learning models predict severe chemotherapy-induced neutropenia in breast cancer using only pre-treatment data

Machine learning models built only from pre-chemotherapy data predicted severe neutropenia in breast cancer patients with ...

Machine-learning models predict human health from microbiome data

Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
BIOENGINEER

IoT Sensors and Hybrid Machine Learning Model Predict Solar Panel Faults Before They Strike

Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...
The American Journal of Managed Care

Machine Learning Has High Accuracy, Little Prospective Validation in MPNs

AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...

How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
Healio

AI model finds high-risk patients for cardiogenic shock 1.8 hours before hypotension onset

Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
Medical Xpress

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

GenoBridge streamlines plant trait prediction with a simplified genomic analysis pipeline

The rapid increase in the availability of genomic data has transformed plant breeding by enabling the prediction of complex ...
ascopubs.org

Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
Eos

Using Machine Learning Techniques for Polar Vortex Predictions

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and ...