Results 201 to 210 of about 10,655,437 (309)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

open access: yesAdvanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale   +6 more
wiley   +1 more source

Natural language processing-based intervention to detect interstitial lung abnormalities. [PDF]

open access: yesEur Respir J
Pugashetti JV   +9 more
europepmc   +1 more source

In Situ Genetic Engineering Facilitates MMP‐9‐Responsive TIMP1 Release Through Proteolytic Cleavage to Boost Diabetic Wound Healing

open access: yesAdvanced Science, EarlyView.
This study develops an MMP‐9‐responsive protein release system that transforms resident cells into drug depots through in situ genetic engineering. Anchored to the membrane, the therapeutic protein TIMP1 is selectively released upon MMP‐9 cleavage.
Yuan Zhang   +11 more
wiley   +1 more source

Alignment of natural language processing-derived RDoC scores with depression, anhedonia, and anxiety in psychiatric electronic health records. [PDF]

open access: yesNPP Digit Psychiatry Neurosci
Kuhn M   +14 more
europepmc   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

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