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Large language models surpass human experts in predicting neuroscience results arxiv.org/abs/2403.03230

From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE arxiv.org/abs/2403.03274

Effects of Marine Reserve Creation in Single Species and Prey-Predator Models arxiv.org/abs/2403.03313

From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling arxiv.org/abs/2403.03335

CIBRA identifies genomic alterations with a system-wide impact on tumor biology arxiv.org/abs/2403.03829

Drug resistance revealed by in silico deep mutational scanning and mutation tracker arxiv.org/abs/2403.02603

DeepBioisostere: Discovering Bioisosteres with Deep Learning for a Fine Control of Multiple Molecular Properties arxiv.org/abs/2403.02706

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks arxiv.org/abs/2403.02724

Possible and Impossible Inferences From Reconstructed Evolutionary Processes using Phylogenies as an Example arxiv.org/abs/2403.03000

G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexes arxiv.org/abs/2403.02765 .LG

Single-channel and multi-channel electrospinning for the fabrication of PLA/PCL tissue engineering scaffolds: comparative study of the materials physicochemical and biological properties arxiv.org/abs/2403.00767

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