Results 181 to 190 of about 4,240,300 (332)

Cell‐Free DNA‐Based Theranostics for Inflammatory Disorders

open access: yesAdvanced Science, EarlyView.
Summary on the dual potential of cfDNA as biomarkers and therapeutic targets for inflammatory disorders. Figure was created with BioRender.com. ABSTRACT Inflammatory disorders are characterized by immune‐mediated inflammatory cascades that can affect multiple organs.
Jiatong Li   +7 more
wiley   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

open access: yesAdvanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang   +12 more
wiley   +1 more source

Enhancing Mechanical and Electrochemical Stability of EDLC Electrodes via Crosslinked Polysaccharide Binder Blends

open access: yesAdvanced Science, EarlyView.
Cross‐linked polysaccharide binders derived from potato starch and xanthan gum enable fully water processed EDLC electrodes with improved mechanical integrity and long‐term electrochemical stability at high voltage. ABSTRACT Advancing sustainable energy storage technologies has increased the focus on water processable binders for high‐performance ...
Mahdi Karimi Jafari   +3 more
wiley   +1 more source

ADAMTS9‐AS2 Disrupts Docetaxel‐Resistance in Castration‐Resistant Prostate Cancer via Stemness Suppression and Ferroptosis Induction

open access: yesAdvanced Science, EarlyView.
This study uncovered a dual‐track mechanism by which ADAMTS9‐AS2 overcame chemoresistance in CRPC: suppressing cancer stemness through the FOXF2/TGF‐β2 pathway, and triggering ferroptosis via competitive SLC7A11 sequestration. Polymeric materials co‐targeting these vulnerabilities further boost docetaxel sensitivity, highlighting a compelling strategy ...
Ji Liu   +12 more
wiley   +1 more source

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

open access: yesAdvanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou   +4 more
wiley   +1 more source

Stricker Learning Span criterion validity: a remote self-administered multi-device compatible digital word list memory measure shows similar ability to differentiate amyloid and tau PET-defined biomarker groups as in-person Auditory Verbal Learning Test. [PDF]

open access: yesJ Int Neuropsychol Soc
Stricker NH   +14 more
europepmc   +1 more source

Leaky‐Integrate‐Fire Neuron via Synthetic Antiferromagnetic Coupling and Spin‐Orbit Torque

open access: yesAdvanced Science, EarlyView.
A spintronic leaky‐integrate‐and‐fire neuron is realized using Spin Orbit Torque driven domain‐wall motion for integration and synthetic antiferromagnetic coupling for the leaky process. The specialized Hall‐bar geometry enables controlled DW dynamics, achieving repeatable integration and firing events. This compact, CMOS‐compatible design highlights a
Badsha Sekh   +8 more
wiley   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

open access: yesAdvanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen   +9 more
wiley   +1 more source

Modulation of Network Plasticity Opens Novel Therapeutic Possibilities in Cancer, Diabetes, and Neurodegeneration

open access: yesAdvanced Science, EarlyView.
Plasticity changes of molecular networks form a cellular learning process. Signaling network plasticity promotes cancer, metastasis, and drug resistance development. 55 plasticity‐related cancer drug targets are listed (20 having already approved drugs, 9 investigational drugs, and 26 being drug target candidates).
Márk Kerestély   +5 more
wiley   +1 more source

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