Columbia & Stanford Launch Squidiff: Diffusion Model for Transcriptome Simulation

Squidiff, a conditional diffusion framework co‑developed by Columbia and Stanford, predicts transcriptional responses across cell differentiation, gene and drug perturbations, and radiation exposure, outperforming prior models and enabling more precise and spatially aware biomedical research.

AI for BiologyPerturbation PredictionSingle-Cell Transcriptomics

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Columbia & Stanford Launch Squidiff: Diffusion Model for Transcriptome Simulation

DataFunSummit

Nov 16, 2023 · Artificial Intelligence

Application of Language Models in Molecular Structure Prediction

This talk presents how large language models are leveraged for predicting protein, antibody, and RNA structures, covering background, model stability, generative approaches, antibody-specific models, RNA modeling, and protein‑RNA interaction prediction, along with experimental results and future research directions.

AI for BiologyGenerative ModelsRNA modeling

0 likes · 17 min read

Application of Language Models in Molecular Structure Prediction