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

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 ...

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," ...
BIOENGINEER

From Nanoemulsion-Templated Drug Nanoparticles to Machine Learning Property Prediction: The Research Path of Lucas Attia

An AAPS Open editorial spotlights chemical engineer Lucas Attia, whose PhD work matured nanoemulsion templating for drug ...

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 ...
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 ...
Nature

Machine learning articles from across Nature Portfolio

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

Machine learning isn't just about making predictions: 5 steps learned from housing price prediction [Practical Summary]

"Which products will sell, and how many, next month?""How many hours will this task take?""Can we identify conditions prone ...
News-Medical.Net

Machine learning models predict common cancer risks using routine health data

Machine learning models using routinely collected health information, such as blood tests, medical history and lifestyle ...
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 accompanying frigid weather in North America and Europe.
UMass Dartmouth

Using machine Learning to Improve Simulation of Phytoplankton Size Classes in Earth System Models

Seminar Announcement Department of Estuarine and Ocean Sciences   "Using machine Learning to Improve Simulation of ...