#cancer-prediction News & Analysis

2 articles tagged with #cancer-prediction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 115/10

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Latent World Recovery for Multimodal Learning with Missing Modalities

Researchers propose Latent World Recovery (LWR), a machine learning framework that handles multimodal datasets with missing data by aligning different data types in a shared latent space rather than imputing missing values. The approach shows promise for bioscience applications like cancer classification and survival prediction where heterogeneous data sources are often incomplete.

AINeutralarXiv – CS AI · May 116/10

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PPI-Net connects molecular protein interactions to functional processes in disease

Researchers introduce PPI-Net, a hierarchical graph neural network that integrates protein-protein interaction networks with biological pathway data to predict cancer outcomes and mechanisms. Demonstrating over 90% balanced accuracy across ten cancer types, the model reveals how molecular changes propagate through biological systems to drive disease, offering both predictive power and mechanistic interpretability.