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 ...
Using Early Biomarker Change and Treatment Adherence to Predict Risk of Relapse Among Patients With Chronic Myeloid Leukemia Who Are in Remission The imaging cohort consisted of positron emission ...
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 ...
Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in large radiographic collections. By automatically verifying body-part, ...
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 ...
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 ...
Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...
Global Cell Analyzer Market OverviewThe global cell analyzer market is poised for strong expansion, with forecasts indicating a CAGR of nearly 8% from 2025 to 2030. This growth trajectory is driven by ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results