Machine learning has revolutionised the field of classification in numerous domains, providing robust tools for categorising data into discrete classes. However, many practical applications, such as ...

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 ...

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 ...

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 ...

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

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 = ...

Machine learning identifies HLA structural features linked to graft failure, improving prediction and donor selection in ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...