Prompting large language models and evaluating inter- and intra-rater agreement for cancer progression assessment from radiology reports. [PDF]
Kristjánsson TÓ +4 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Accelerating real-world data collection using large language models in rare neoplasms: a bone sarcoma example. [PDF]
Teterycz P +5 more
europepmc +1 more source
Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar +7 more
wiley +1 more source
Accurate predictions of disordered protein ensembles with STARLING. [PDF]
Novak B +3 more
europepmc +1 more source
This study investigates how CTCs survive varying shear stress during hematogenous metastasis. We uncover a self‐protection mechanism, by which non‐adherent CTCs adapt to high shearing milieu through accumulated cytoplasmic myosin‐mediated disruption of myosin‐actin binding, attenuating force transmission into chromatin to protect CTCs from shear ...
Cunyu Zhang +10 more
wiley +1 more source
Performance enhancement method by using the probabilistic estimation for kidney tumor segmentation. [PDF]
Cheon W +8 more
europepmc +1 more source
Surface Plasmon Enhanced Photoluminescence of Carbon Dots Formed In Situ on Silver Gratings
Carbon emitters formed in situ on a silver grating via plasmonic catalysis yield enhanced spontaneous emission by preferential radiative decay into surface plasmons. Enhancement manifests as emission exhibiting characteristics of coherence (polarization, directionality), and accelerated lifetimes of ∼30 ps, yielding Purcell factors of ∼70.
Maryam Sadat Amiri Naeini +5 more
wiley +1 more source
FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning. [PDF]
Sheta AN +4 more
europepmc +1 more source

