AI classifier flags bird flu genomes more likely to spread in mammals

A research team from the LKS Faculty of Medicine at the University of Hong Kong (HKUMed) has developed a machine-learning ...
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 = ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
Healio

Machine learning model predicts small airways disease in patients with asthma

Please provide your email address to receive an email when new articles are posted on . A machine learning classifier was trained on capnogram features. The model’s probability output inversely ...
EurekAlert!

Strategic reuse of rapid antigen tests for coagulation status assessment: an integrated machine learning approach

• Repurposed COVID-19 RATs provide an ideal platform for observing differences in blood coagulability. • Random Forest image classification algorithms can facilitate rapid coagulation status ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Labroots

Novel Multiplex Diagnostic Assays for Serology

Lyme disease is a high-incidence infectious disease with a global prevalence of 14.5% of the world's population. Two-tier serology is currently the primary diagnostic test for Lyme disease; however, ...