Results 211 to 220 of about 5,900,806 (308)

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

open access: yesAdvanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv   +11 more
wiley   +1 more source

Tracking of [14C]Polystyrene Nanoplastics in Pregnant Mice

open access: yesAdvanced Science, EarlyView.
This study investigates [14C]polystyrene nanoplastic ([14C]PS) translocation in late‐stage pregnant mice after intranasal (0.5 mg of [14C]PS on GD12, GD14, and GD16, n = 6) and intravenous administration (1.5 mg of [14C]PS on GD16, n = 6). 14C‐radiolabel allows quantitative tracking of unmodified polystyrene nanoplastics.
Olga Khaybullina   +2 more
wiley   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

open access: yesAdvanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Exploring gender-intentional implementation of Digital Health Information for Immunization in Ethiopia. [PDF]

open access: yesPLOS Glob Public Health
Amare G   +9 more
europepmc   +1 more source

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

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