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
Empowering chronic disease management with smart healthcare in China: a policy effectiveness evaluation by PMC index model. [PDF]
Yang H +5 more
europepmc +1 more source
Tracking of [14C]Polystyrene Nanoplastics in Pregnant Mice
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
This study constructed the W1/O/W2 emulsion–based targeted therapy delivery system for ulcerative colitis (UC) utilizing LCC as surfactant for the first time. This multifunctional emulsion offered certain therapeutic advantages for UC, including targeted colonic delivery of active compounds, synergistic modulation of gut microbiota through combined ...
Qian Wu +9 more
wiley +1 more source
Quantifying public and private investment in biopharmaceutical R&D: a study of seven middle- and high-income countries. [PDF]
Fowler A +6 more
europepmc +1 more source
Ethical Precision in Nanoscale Brain Interfacing
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
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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
How do policy tool combinations drive the construction of public health technology R&D alliances? [PDF]
Cao Y, Zhang J, Ning L.
europepmc +1 more source
Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen +10 more
wiley +1 more source
A pathway study of university embeddedness in provincial innovation systems based on field theory: Empirical evidence from China. [PDF]
Wang Z, Sun Y, Gu L, Ye X.
europepmc +1 more source

