Label-free multiphoton microscopy and deep learning can be used in combination to classify pancreatic neuroendocrine neoplasms with high accuracy—a significant step toward automated digital pathology ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

These AI tools are specifically tailored to address the unique challenges and opportunities within the healthcare industry, ranging from medical imaging and diagnostics to clinical decision support ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ChatGPT learned language by gorging on the internet. In biology, however, ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

This project applies feature extraction and machine learning to classify breast cancer (benign vs. malignant) using the Kaggle Breast Cancer Dataset. The goal is to achieve >90% accuracy, and the ...

Starting in January, Medicare will test out an artificial intelligence (AI) pilot program to decide whether patients get certain procedures covered or not. The Centers for Medicare & Medicaid Services ...

bSchool of Nursing, Hunan University of Medicine, Huaihua, Hunan Province, China cSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou Province, China dThoracic Surgery Department, Affiliated ...

1 Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China 2 Department of Targeting Therapy & Immunology, Cancer Center, West ...

Abstract: Millions of people worldwide are affected by skin cancer each year, making it a serious public health issue, caused by environmental and genetic factors. In the United States alone, 5.4 ...