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Identification of diagnostic markers pyrodeath-related genes in non-alcoholic fatty liver disease based on machine learning and experiment validation

Cusi, K. et al. Non-alcoholic fatty liver disease (NAFLD) prevalence and its metabolic associations in patients with type 1 diabetes and type 2 diabetes. Diabetes Obes. Metab....

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

PRnet: perturbation-conditioned deep generative model for transcriptional response predictionIn this paper, we formulate the transcriptional response prediction as a distribution generation problem conditioned on perturbations. Cells inherently...

Virtual resection evaluation based on sEEG propagation network for drug-resistant epilepsy

PatientsWe used two datasets: (1) Clinical data with 6 patients with 12 seizures from the neurosurgery department of Shanxi Provincial People’s Hospital; (2) HUP data with 10...

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Using AI to find the polymers of the future

Nylon, Teflon, Kevlar. These are just a few familiar polymers -- large-molecule chemical compounds -- that have changed the world. From Teflon-coated frying pans...

Heart data unlocks sleep secrets

We know that quality sleep is as essential to survival as food and water. Yet, despite spending a third of our lives in slumber,...

Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants

We propose an integrated framework aimed at providing accurate and explainable predictions for epidemic spreads. Sybil combines a simple compartmental model with a machine...

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