🔬 Moving Beyond Pixels: Advancing Multimodal Pathology
Pathology AI has long relied on images alone. What happens when you add language?
We combined PLUTO-4 vision embeddings with rich histological descriptions to build a joint vision-language space for disease classification,
🚀 Excited to share PLUTO-4, our new state-of-the-art foundation models for pathology! 🔬
We’re seeing SoTA performance across multiple public benchmarks (EVA and HEST) — surpassing other leading pathology foundation models. (1/6)
#AI#MachineLearning#Pathology
PathAI #MachineLearning engineers have
recently published new #AI findings for mechanistic interpretability of PLUTO, a pathology #foundationmodel. Using sparse autoencoders (SAEs), we uncovered biologically meaningful and interpretable features. 🧵
arxiv.org/html/2407.1078…
We're proud to launch PathExplore™ Fibrosis, a groundbreaking #AIPathology algorithm that quantifies fibrosis, collagen, and fiber morphology directly from H&E whole-slide images.
Read the announcement: pathai.com/resources/path…#PathTwitter#Pathology
