Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
C&EN

Modeling Soil Water Dynamics and Hydrogel Doses Optimization Using a Machine Learning Approach: A Case Study on Sandy Clay Loam Soil under Varying Bulk Densities

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Climate change has intensified droughts in Brazil, threatening agriculture through ...
IEEE

Developing an XAI-Based Crop Recommendation Framework Using Soil Nutrient Profiles and Historical Crop Yields

Abstract: The agriculture sector is a significant cornerstone of the country and has boomed drastically in past decade, due to the advent of cutting-edge technologies such as Artificial Intelligence ...
The Verge

The algorithm failed music

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Frontiers

Spatiotemporal prediction of soil moisture content at various depths in three soil types using machine learning algorithms

Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges ...
Yahoo

Why Are People Using Persimmon Seeds To Predict The Weather & Does It Really Work?

Add Yahoo as a preferred source to see more of our stories on Google. Hand picking up persimmon from a fall-colored tree - Emilija Manevska/Getty Images From inspecting the productivity of fruit trees ...
Medical Xpress

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
Hosted on MSN

Using AI to predict which NFL players will have the best day on Sunday

Touchdown Wire recently asked AI which players would have the biggest day in the NFL on Sunday. A couple may surprise you! Drake Maye (QB, New England Patriots) AI suggested that New England Patriots ...