Our data underscore the critical role of CTC–immune cell interactions and the dynamic shifts in CTC phenotypes—both as single cells and clusters—in stratifying patients by risk and informing treatment ...

American Sign Language (ASL) recognition systems often struggle with accuracy due to similar gestures, poor image quality and inconsistent lighting. To address this, researchers developed a system ...

American Sign Language is the third most prevalent language in the United States, behind English and Spanish, according to the groups behind Signs. The ASL-learning platform is also a reminder ...

Flexible strain sensors have been widely researched in fields such as smart wearables, human health monitoring, and biomedical applications. However, achieving a wide sensing range and high ...

Project Overview This project aims to recognize isolated sign language words using deep learning models. It supports various models, including R3D, R2+1D, and LSTM+Resnet, and is suitable for ...

Background: Progression-free survival (PFS) is frequently measured in oncology clinical trials. In analyses outside of the trial setting, various strategies have been utilized to assess real-world PFS ...

Deep learning (DL) is an advanced form of artificial intelligence where algorithms inspired by the human brain learn from large amounts of data. As you embark on integrating DL into your workflow ...

Gesture detection is the primary and most significant step for sign language detection and sign language is the communication medium for people with speaking and hearing disabilities. This paper ...