A Dual-Stream Feature Learning Framework with Adaptive Bio-Inspired Protozoa-Starfish Optimization for Melanoma Classification. [PDF]
Biomimetics (Basel)Jayasankar S, Brindha T.
europepmc +1 more source
Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery
Advanced Science, EarlyView.DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong +8 more
wiley +1 more source
qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness
Advanced Science, EarlyView.In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang +3 more
wiley +1 more source
DRL-Based LEO Constellation Design for Regional Navigation Enhancement. [PDF]
Sensors (Basel)Rui Z, Zeng F, Ouyang X, Chen L.
europepmc +1 more source
PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
Advanced Science, EarlyView.PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley +1 more source
Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Advanced Science, EarlyView.Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
A Gradient Boosting-Based Machine Learning Model for the Prediction of the Hardness of Thermoplastic Polymers. [PDF]
ACS OmegaSena J, Blaker JJ, Hay S.
europepmc +1 more source
Advanced Science, EarlyView.An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu +7 more
wiley +1 more source
Bio-Inspired Metaheuristic Optimization of a DWT-BiLSTM Architecture for Wind Speed Forecasting: A Statistical Benchmark with Component Ablation. [PDF]
Biomimetics (Basel)Bendeş E.
europepmc +1 more source
An Integrated Artificial Intelligence Framework for Nanomedicine Engineering
Advanced Science, EarlyView.This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong +10 more
wiley +1 more source