Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

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 ...

A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Incipient fault detection using AI classification represents a fundamental advancement in distribution system reliability engineering. By continuously analyzing waveform behavior and classifying ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

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 ...