Results 141 to 150 of about 943,112 (315)
Proof of exponentiation: enhanced prover efficiency for algebraic statements
Recent years have seen the widespread adoption of zkSNARKs constructed over small fields, including but not limited to, the Goldilocks field, small Mersenne prime fields, and tower of binary fields.
Zhuo Wu +5 more
doaj +1 more source
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu +6 more
wiley +1 more source
Rapid Microfluidic Drug Sensitivity Testing Within 5 Days Using Minimal Clinical Tumor Samples
This study develops the air‐punched fabrication approach for nanoliter‐scale microcavity arrays with ultra‐smooth microcavity surfaces, with which rapid formation and 3D culture of tumor cell spheroids from small numbers of cell samples, as well as high‐throughput drug sensitivity testing can be achieved within 5 days.
Yi‐Xue Chen +11 more
wiley +1 more source
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source
PBRM1 ranks as the second most commonly mutated gene in ccRCC. This study reveals that PBRM1 loss promotes an immunosuppressive microenvironment by elevating M2 TAMs via the KDM5C–IL‐6 axis. These M2 TAMs, along with CAFs, form a barrier that excludes CD8+ T cells. Targeting IL‐6 synergizes with anti‐PD1 therapy, offering a promising strategy for PBRM1‐
Wenjiao Xia +14 more
wiley +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source
Green analytical method for determination of oxeladin citrate using advanced electrochemical modified sensors in pure form, pharmaceuticals, human serum and binary mixtures with guaifenesin. [PDF]
Hammad SF, Hendawy HA, Habib HM.
europepmc +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source
Application of Fourier-Galois Spectra Analysers for Rotating Image Analysis. [PDF]
Shaltykova D +4 more
europepmc +1 more source

