This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang +16 more
wiley +1 more source
An automated decision support platform for rural environmental adaptive design based on VAE-ANAS integration. [PDF]
Tang N, Zhi F, Sun J.
europepmc +1 more source
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
Credible capacity evaluation of virtual power plants considering wind and PV uncertainties. [PDF]
Li C +7 more
europepmc +1 more source
A Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis
This study reports a system‐level fully self‐powered digital wearable system (FS‐DWS) for the auxiliary treatment of plantar fasciitis. By integrating arch support, energy harvesting, wearable sensing, and machine learning‐driven closed‐loop visualized feedback, the system enables effective plantar pressure reduction and self‐powered, real‐time plantar
Jiacheng Hou +10 more
wiley +1 more source
Adaptive Localization-Free Secure Routing Protocol for Underwater Sensor Networks. [PDF]
Alharbi A, Ibrahim S.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Extracting Weight of Evidence from p-Value via Bayesian Approach to Activation Likelihood Estimation Meta-Analysis. [PDF]
Costa T +4 more
europepmc +1 more source
Fault Recovery Strategy with Net Load Forecasting Using Bayesian Optimized LSTM for Distribution Networks. [PDF]
Ding Z, Chu Y.
europepmc +1 more source

