The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Abstract: Breast cancer is one of the most common cancers among women worldwide and early detection plays a vital role to reduce the mortality rate. In this study, we propose a novel machine ...

aSchool of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, China bHubei Shizhen Laboratory, Hubei University of Chinese Medicine, 16 Huangjia Lake ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...