This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

A seven-year-old boy has had his jaw rebuilt using pieces of his own ribs. The life-changing surgery means William Tuckwell can now eat, breathe and swallow on his own. My Dad Was Gay — But Married To ...

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...

'Sure. Okay, I think there's three things that we used to do in what we could laughably call the olden days that I would suggest we all do, not just parents. Three things are important. One is ...

The Federal Reserve’s decision to lower the federal funds rate by 25 basis points as this week’s Federal Open Market Committee meeting was widely anticipated amid data showing the labor market was ...

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...

Ukraine has said it destroyed two bridges inside Russia by using a couple of cheap drones to hit stashes of mines and ammunition hidden there by Russian forces. The Ukrainian military said the two ...

Introduction: Structural magnetic resonance imaging (sMRI) is an important tool for the early diagnosis of Alzheimer's disease (AD). Previous methods based on voxel, region of interests (ROIs) or ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

• Architecture: 4-layer CNN (convolutional layers with 32, 64, 128, and 256 filters) → Max pooling → Dropout → Fully connected layers. • Training: Dataset: MNIST (28×28 grayscale digits).