Prompt-based multimodal representation learning for drug repurposing. [PDF]
Brief BioinformLiu J +10 more
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features. [PDF]
IEEE J Biomed Health InformLi H +4 more
europepmc +1 more source
Representation learning for the prediction of length of stay in infants with congenital heart diseases undergoing cardiac surgery. [PDF]
Eur Heart J Digit HealthModrego A +7 more
europepmc +1 more source
ProGraphTrans: multimodal dynamic collaborative framework for protein representation learning. [PDF]
BMC BiolZeng L, Liu Y, Han G, Yu ZG, Liu Y.
europepmc +1 more source
BioMedKG: multimodal contrastive representation learning in augmented BioMedical knowledge graphs. [PDF]
Front Syst BiolDang T, Nguyen VTD, Le MT, Hy TS.
europepmc +1 more source
New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time. [PDF]
ElifeTorrents J, Costa T, de Polavieja G.
europepmc +1 more source
Exploring phenotype-related single-cells through attention-enhanced representation learning. [PDF]
Genome MedWu Q, Ding J, He R, Hui L, Liu J, Li Y.
europepmc +1 more source
Correction to "Efficient and accurate commissioning and quality assurance of radiosurgery beam via prior-embedded implicit neural representation learning". [PDF]
Med Physeuropepmc +1 more source