Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

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 ...

GE HealthCare said it has received FDA Premarket Authorization for Pristina Recon DL, a deep-learning–powered 3D mammography reconstruction technology the company says improves image sharpness and ...

Introduction: Coronary artery calcium (CAC) is strongly predictive of adverse cardiovascular events, and is widely utilized for risk stratification. There is considerable interest in automated machine ...

This valuable study asks how the neural representation of individual finger movements changes during the early periods of sequence learning. By combining a new method for extracting features from ...

The goal is to provide the simplest implementation of a deep research agent that can refine its research direction over time and dive deep into any topic. Optimized for ease of use and understanding.

Protein design is crucial for the treatment of human diseases, but traditional protein design methods have some limitations. Site-directed mutagenesis is highly dependent on the physiological ...

Background: Physical activity plays a crucial role in maintaining health and preventing chronic diseases. However, accurately assessing the impact of sports and physical training on health improvement ...

Bitcoin's extreme volatility challenges traditional trading tools. This project delivers an AI trading bot that predicts short-term BTC/USD price movements using deep learning and ensemble strategies, ...

However, the extent to which these types of data have been incorporated into deep learning (DL) models has not been examined. Objective: This systematic review aims to describe the use of sequential ...