Frontiers

Causal Machine Learning for Treatment Selection and Outcome Optimization in Mood Disorders

Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...
Telefónica

What are machine learning algorithms?

Now that we know the definitions of both terms, we can summarize that machine learning algorithms are sets of instructions ...
Analytics Insight

10 Machine Learning Projects for Beginners to Advanced (2026)

Overview: Machine learning skills improve when concepts are applied through regular, structured, hands-on projects.Working on ...
Technology Networks

Machine Learning Model Predicts Liver Cancer Risk Using Routine Clinical Data

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
EurekAlert!

Using LoRA models to predict multiple types of organic reactions

Figure 1. LoRA-Chem: From Model Customization to Organic Chemistry Reaction Tasks. (a) Several machine learning algorithm paradigms applied to organic chemistry. (b) Inspired by AI-driven image style ...
InfoWorld

10 machine learning mistakes and how to avoid them

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...