BIOENGINEER

Machine Learning Predicts Post-Dialysis Blood Pressure Using Early In-Session Clinical Records

A retrospective study of 7,600 hemodialysis sessions in Senegal shows that supervised machine learning can predict ...
BIOENGINEER

Machine Learning Model Predicts Nasopharyngeal Carcinoma Using Routine Laboratory Tests

A machine-learning model utilizing routine laboratory indicators demonstrated strong predictive performance for ...

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 every human cell you have, there are at least as many microbial cells ...

CheMeleon model adapts to predict molecular properties from scant data

Discovering new molecules for specific uses is a major driver of progress in a wide variety of industries, whether it's ...
FinanceFeeds

Building a Price Prediction Model in Python: A Step-by-Step Guide Using Historical Data and Basic ML Libraries

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...
Chromatography Online

AI/ML Now: Rethinking Retention Time Prediction using Machine Learning

Sebastian Böcker discusses how predicting retention order, not time, makes liquid chromatography retention time prediction transferable across laboratories.
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 ...
GitHub

A machine learning model to predict the outcomes of football matches based on historical data.

A machine learning model to predict the outcomes of football matches based on historical data - lorenzopalaia/Football-Prediction ...
Phys.org

Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...