DL-AMC: Deep Learning for Automatic Modulation Classification
Automatic Modulation Classification (AMC) is a signal processing technique widely used at the physical layer of wireless systems to enhance spectrum utilization efficiency. In this work, we propose a fast and accurate AMC system, termed DL-AMC, which leverages deep learning techniques.
Rehman, Faheem Ur +2 more
openaire +2 more sources
Deep learning (DL) Opens New Horizons in Personalized Medicine [PDF]
Although the idea of personalization of patient care dates to the time of Hippocrates, recent advances in diagnostic medical imaging and molecular medicine are gradually transforming health care services, by offering information and diagnostic tools enabling individualized patient management.
openaire +1 more source
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Hierarchical Summary Statistics Encoding Across Primary Visual and Posterior Parietal Cortices
This study shows that mouse V1 simultaneously encodes the ensemble mean and variance of motion, providing a robust summary‐statistic representation that persists despite single‐neuron variability. These signals propagate to PPC, where they are transformed into abstract category representations during decision making.
Young‐Beom Lee +4 more
wiley +1 more source
Logic‐Gated HSV‐TK/GCV Suicide Gene Circuit for Triple‐Negative Breast Cancer
The BRAS comprises two modular genetic components driven by distinct tumor‐specific promoters and a failsafe layer with the NOT gate. This multi‐input logic gate circuit enables precise, specific expression of HSV‐TK in breast cancer cells with hardly expression in normal cell and effectively inhibits tumor growth in a triple‐negative breast cancer ...
Shasha Tang +10 more
wiley +1 more source
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño +5 more
wiley +1 more source
GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu +11 more
wiley +1 more source
Endogenous Amplification of Apoptosis via p53 Regulation using a Cascade Nanocatalytic Medicine
An engineered MOF nanomedicine (MAL) triggers cascade nanocatalysis in tumors, converting H2O2 and L‐Arg into cytotoxic peroxynitrite. This induces DNA damage, activates the p53 pathway, and amplifies mitochondrial apoptosis via the BAX/Bcl‐2/Caspase‐3 axis, effectively inhibiting colorectal cancer growth with high biocompatibility.
Tan Wu +8 more
wiley +1 more source
Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation. [PDF]
Geng J +9 more
europepmc +1 more source

