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
Adaptive user interfaces for wearable medical devices using deep Q-learning and Golden Jackal Optimization. [PDF]
Jiang M, Huang J, Wang L.
europepmc +1 more source
Mr BMT Achieves Systemic Macrophage Replacement With Preservation of Tissue Homeostasis
Microglia replacement by bone marrow transplantation (Mr BMT) enables systemic replacement of tissue‐resident macrophages. Despite persistent macrophage and tissue remodeling across multiple organs, core biological functions and innate immune responses remain preserved, supporting long‐term maintenance of organismal homeostasis and the therapeutic ...
Yufei Xu +17 more
wiley +1 more source
Dynamic Robot Navigation in Confined Indoor Environment: Unleashing the Perceptron-Q Learning Fusion. [PDF]
Denesh Babu M, Maheswari C, Priya BM.
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
In this study, we unveil a thymus‐brain endocrine axis wherein Tα1 engages HCRTR1 to inhibit RIPK3‐mediated necroptosis. This study nominates the Tal‐HCRTR1‐RIPK3 axis as a potent and clinically translatable therapeutic target for stroke and neurodegeneration.
Xinmei Kang +11 more
wiley +1 more source
New-generation AI-driven intelligent decision-making and inventory optimization in the full lifecycle of complex product manufacturing integrating LSTM and Q-learning. [PDF]
Jiang Z, Dan W, Yu-Fei C.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Enhanced Q learning and deep reinforcement learning for unmanned combat intelligence planning in adversarial environments. [PDF]
Jianhong X, Gongqian L.
europepmc +1 more source
The mechanism diagram of VDAC1 mediating neuronal excitability and neuropathic pain. Briefly, VDAC1 is expressed in DRG neurons and is upregulated following CCI‐induced neuropathic pain. This upregulation enhances ATP transport from mitochondria to the cytoplasm in sensory neurons, leading to increased neuronal excitability and pain behavior.
Fengrun Sun +7 more
wiley +1 more source

