Results 71 to 80 of about 35,670 (188)
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
AAA ABSTRACT Protein glycosylation and phosphorylation are critical post‐translational modifications (PTMs) governing nearly all cellular functions, yet their analysis remains challenging due to reliance on costly and unsustainable enrichment materials.
Jiaying Li +9 more
wiley +1 more source
Multi‐Functional Adaptive Interfaces for Next‐Generation Wearable and Implantable Bioelectronics
Adaptive Biointerfaces: A comprehensive overview of next‐generation bioelectronics is presented, highlighting mechano‐adaptive and biophysiologically adaptive interfaces that enable stable, long‐term integration with living tissues. As illustrated in the image, adaptive interface strategies, including mechano‐adaptivity (e.g., injectability, shape ...
Jinhong Park +7 more
wiley +1 more source
Estimating Waiting Distances between Genealogy Changes under a Multi-Species Extension of the Sequentially Markov Coalescent. [PDF]
McKenzie PF, Eaton DAR.
europepmc +1 more source
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen +6 more
wiley +1 more source
Federated learning frameworks: quality and interoperability for biomedical research. [PDF]
Chavero-Diez M +4 more
europepmc +1 more source
Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang +3 more
wiley +1 more source
Machine learning approach to topological graph descriptors of graphene nanoribbons. [PDF]
Jyothish K +5 more
europepmc +1 more source
Organic Thin‐Film Transistors for Neuromorphic Computing
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy +2 more
wiley +1 more source

