Results 141 to 150 of about 350,201 (281)
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
Targeted covalent inhibitors (TCI) containing cyclic imine warheads react with tyrosine and tryptophan residues via the Mannich reaction. These cyclic imine warheads show comparable reaction kinetics to cysteine‐reactive electrophiles commonly used in TCIs.
Sijie Wang +6 more
wiley +2 more sources
A multimodal laser‐induced graphene (LIG)‐based flexible sensor is developed to detect proximity and contact signals. Integrated into a soft robotic hand, it enables vision‐free object searching and grasping. Combined with a convolutional neural network, the system achieves accurate material and texture recognition, enhancing the capability of ...
Youning Duo +9 more
wiley +1 more source
Trisoxazole Macrolides Potentiate the Microtubule Assembly and Antimitotic Activities of Taxanes
Photoaffinity experiments identified tubulin as a new target of mycalolides. Though weakly cytotoxic, the trisoxazole macrolactone moiety enhanced paclitaxel's microtubule assembly and antimitotic effects. Molecular modeling studies suggested that MyC stabilizes α/β‐tubulin heterodimer interactions.
Shohei Ebihara +4 more
wiley +2 more sources
From input to impact: embedding PPI in computational ovarian cancer research. [PDF]
McCabe A +9 more
europepmc +1 more source
Food inflation pass‐through from agricultural imports in a small open economy
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley +1 more source
Mapping the direct and indirect costs of patient and public involvement (PPI) in stroke and aphasia research: a scoping review protocol. [PDF]
Charalambous M +3 more
europepmc +1 more source

