The American Journal of Managed Care

Machine Learning–Based Classifier Accurately Identifies Ovarian Cancer

A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...
Medical Xpress

Researchers create machine learning-based classifier that could aid early diagnosis of psychosis

The onset of psychosis can be predicted before it occurs, using a machine-learning tool which can classify MRI brain scans into those who are healthy and those at risk of a psychotic episode. An ...
News Medical

New machine learning model uses MRI scans to predict psychosis onset

In a recent study published in Molecular Psychiatry, researchers performed structural-type magnetic resonance imaging (sMRI) to develop a machine learning classifier and distinguish neuroanatomical ...
Science Daily

Machine learning classifier accelerates the development of cellular immunotherapies

Making a personalized T cell therapy for cancer patients currently takes at least six months. Scientists have shown that the laborious first step of identifying tumor-reactive T cell receptors for ...
ascopubs.org

Prediction of sotorasib response duration and identification of clinically actionable resistance mechanisms using an RNA- and machine learning–based patient classifier.

Enabling national identification of lung cancer screening eligibility with large language models.
European Medical Journal

MALDI Imaging Advances Rare Ampullary Cancer Diagnosis

Matrix assisted laser desorption ionisation imaging combined with machine learning may improve rare ampullary cancer ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...