Results 161 to 170 of about 81,501 (265)
An explainable-AI framework reveals novel lncRNAs specific for breast cancer subtypes. [PDF]
Patel JC, Veerappa A, Guda C.
europepmc +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa +3 more
wiley +1 more source
Explainable AI for classifying vertebral fracture histology in digital spine pathology. [PDF]
Yang P.
europepmc +1 more source
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
A Hybrid Explainable AI Framework (HXAI) for Accurate and Interpretable Diagnosis of Alzheimer's Disease. [PDF]
Al-Bakri FH +18 more
europepmc +1 more source
Magnetic doping of the topological insulator Bi2Te3 with erbium adatoms induces out‐of‐plane magnetism and breaks time‐reversal symmetry, opening a Dirac gap and driving a Fermi surface transition from hexagonal to star‐of‐David geometry. Microscopy, spectroscopy, and magnetic dichroism reveal atomically controlled magnetic interactions that tailor the
Beatriz Muñiz Cano +18 more
wiley +1 more source
Clinically interpretable deep learning for pediatric dental age estimation with explainable AI. [PDF]
Duru A, Kaplan TT.
europepmc +1 more source
Resolving the Structural Duality of Graphene Grain Boundaries
Cantilever ncAFM resolves the atomic structure of grain boundaries in graphene, revealing coexisting stable and metastable types. Both contain pentagon/heptagon defects, but metastable GBs show irregular geometries. Modeling shows metastable GBs form under compression, exhibiting vertical corrugation, while stable GBs are flat.
Haojie Guo +11 more
wiley +1 more source
Prediction of <i>β</i>-thalassemia carrier using federated learning and explainable AI. [PDF]
Younas HA +6 more
europepmc +1 more source

