This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
VANCOUVER, BC, Dec. 31, 2025 /CNW/ -- The precision oncology market surged to $139.4 billion in 2025 and is racing toward $317.5 billion by 2035([1]) , driven by a fundamental shift in cancer ...
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, ...
Meta announced on Tuesday a new Facebook algorithm update that will showcase more Reels videos tailored to users’ preferences. The update includes features that offer users greater control over the ...
This is an open source Python package that provides an implementation of techniques inspired by the artificial immune system, enabling the easy and intuitive use of algorithms based on immunology.
This study presents a useful finding for the ferroptosis-mediated tumor microenvironment (TME) in triple-negative breast cancer (TNBC) using public single-cell RNA sequencing (scRNA-seq) and bulk RNA ...
Abstract: This paper presents a matrix negative selection algorithm for anomaly detection. The proposed algorithm is a twofold improvement over conventional negative selection algorithms. In matrix ...
Introduction: The excessive uncertainty of in modern manufacturing systems is caused by machine failures, changes in material information, and other factors. In addition, the organizational production ...
An artificial intelligence (AI)-assisted hardware design platform enables engineers to find the right components for their design projects using machine learning and smart algorithms. It selects the ...
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