Results 241 to 250 of about 1,312,358 (341)

Disruption of the SNRPF–DDX24–E2F4 Feedback Loop Uncouples Splicing and Transcriptional Regulation to Suppress Ovarian Cancer Progression

open access: yesAdvanced Science, EarlyView.
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li   +4 more
wiley   +1 more source

Systematic Review of Large Language Models and Natural Language Processing in Stroke Care: Applications, Challenges, and Future Directions. [PDF]

open access: yesStroke Vasc Interv Neurol
Duarte KTN   +9 more
europepmc   +1 more source

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

Identification and validation of respiratory virus immunization using natural language processing. [PDF]

open access: yesFront Digit Health
Wilson KA   +18 more
europepmc   +1 more source

DTX3L Inhibits the EMT, Metastasis, and Stem‐Like Features of Gastric Cancer Through Promoting GSK‐3β Dependent SNAI1 Decay

open access: yesAdvanced Science, EarlyView.
This research identifies DTX3L as a critical tumor suppressor that inhibits epithelial‐mesenchymal transition (EMT), invasion and metastasis in gastric cancer. By functioning as an E3 ubiquitin ligase, DTX3L targets the master EMT regulator SNAI1 for GSK‐3β‐dependent proteasomal degradation.
Yang Chen   +7 more
wiley   +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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