Overview of deep learning-based cell image analysis. A typical analysis pipeline consists of a retraining module and an inference module: the inference module directly produces estimated metrics.

Recent advancements in deep learning have transformed the analysis of blood cell images and the classification of leukemia. By employing complex neural network architectures, such as convolutional ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Completed phase 1a dose escalation study of the first oral ENPP1 inhibitor RBS2418 immunotherapy in subjects with metastatic solid tumors. SECN-15: A novel treatment option for patients with ...

The cochlea is the spiral-shaped structure within the inner ear responsible for our sense of hearing. To fully understand hearing functions and open the door to new hearing loss treatments, scientists ...

The cochlea is the spiral-shaped structure within the inner ear responsible for our sense of hearing. To fully understand ...

Treatment modalities and survival outcomes in patients with hepatocellular carcinoma with brain metastases (HCC-BM): A large national study. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

During early development, tissues and organs begin to form through the shifting, splitting, and growing of many thousands of cells. A team of researchers headed by MIT engineers has now developed a ...