Results 61 to 70 of about 1,135 (244)
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Hybrid regularization inspired by total variation and deep denoiser prior for image restoration
Image restoration is a fundamental problem in computer vision, with the goal of restoring high-quality images from degraded low-quality observation images. However, the ill-posedness of restoration problem often leads to artifacts in the results.
Hu Liang +3 more
doaj +1 more source
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair +4 more
wiley +1 more source
Adaptive Multimodal Protein Plug-And-Play With Diffusion-Based Priors
Code: https://github.com/amartya21/Adam ...
Amartya Banerjee +3 more
openaire +3 more sources
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Model-based deep learning enables time-resolved computational microscopy
Computational microscopy combines advances in optical hardware and signal processing to push the boundaries of imaging resolution and functionality. However, acquiring extended information often comes at the expense of temporal resolution.
Yunhui Gao, Liangcai Cao
doaj +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
PnPDA+: A Meta Feature-Guided Domain Adapter for Collaborative Perception
Although cooperative perception enhances situational awareness by enabling vehicles to share intermediate features, real-world deployment faces challenges due to heterogeneity in sensor modalities, architectures, and encoder parameters across agents ...
Liang Xin +6 more
doaj +1 more source
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib +8 more
wiley +1 more source
ABSTRACT Coacervate droplets formed via liquid–liquid phase separation offer unique opportunities as microreactors and delivery vehicles due to their ability to selectively concentrate biomolecules and support biochemical reactions. However, their passive nature severely restricts precise spatial and temporal control, posing barriers to practical ...
Kailang Liu +6 more
wiley +1 more source

