ascopubs.org

Developing a deep learning algorithm to support decision making for the classification of microsatellite instability (MSI) in cancer, using artificial intelligence(AI).

Incorporating precision oncology in everyday clinical practice: First two years of comprehensive genomic profiling (CGP) testing experience in Croatia. This is an ASCO Meeting Abstract from the 2024 ...
ascopubs.org

Mitigating Algorithmic Bias in Cancer Site Classification Models

Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...
Nanowerk

Researchers develop neural network for large-scale celestial object classification

Differences in SEDs, spectroscopic features, and spatial morphologies among various types of celestial objects. From top to bottom, the examples shown correspond to a galaxy, a quasar, and a star. The ...
EurekAlert!

Developing an AI-based framework for automated classification of pollen grain images, with applications in agriculture, medicine, and biodiversity monitoring

The approach combines scanning electron microscopy with a computer vision model and a web-based application to automatically classify pollen grains based on their microscopic surface features. Its ...