Bioinformatics

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Bioinformatics

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Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions

Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions

Generative power of a protein language model trained on multiple sequence alignments

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

Supplementary dataset for Enzyme promiscuous profiles for protein sequence and reaction annotation

A structured prediction approach for robot imitation learning

Monitoring of Protein and pH Levels in Human Biofluids using FD-SOI Silicon Nanowire Arrays

Informing Neural Networks with Simplified Physics for Better Flow Prediction

Machine-learned interatomic potentials: Recent developments and prospective applications

Structural topology exploration through policy-based generation of equilibrium representations