Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Relational ontologies of AI and the technoethics of social isolation in psychosis. [PDF]
Abbasian H, Fastenau A.
europepmc +1 more source
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv +12 more
wiley +1 more source
Mutual information-based hierarchical NBV decision for active semantic visual SLAM under dynamic environments. [PDF]
Yang Z +3 more
europepmc +1 more source
2D Metal‐Organic Frameworks for High‐Performance Solid‐State Electrolytes: A Comprehensive Review
In this review, we elucidate the intrinsic advantages, synthetic methodologies, structural characteristics, ion‐transport mechanisms and performance optimization strategies while highlighting representative material systems and applications of 2D MOFs for electrolyte applications.
Changchun Ai +8 more
wiley +1 more source
Genetic structure analysis of a Northwest Chinese population using a self-developed DIP system and machine learning for forensic ancestry inference. [PDF]
Cai M +6 more
europepmc +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You +11 more
wiley +1 more source
A Review on Registration Techniques for Cardiac Computed Tomography and Ultrasound Images. [PDF]
Li Z, He H, Wang Q, Li L, Gao H, Li J.
europepmc +1 more source
Deformation‐Induced Formation of Stray Grains in Additive Manufacturing of Single Crystals
Stray grain formation severely limits the additive manufacturing of single‐crystal alloys. By integrating in situ synchrotron techniques, ex situ characterization, and multi‐scale multi‐physics modeling, the authors reveal that stray grains originate from dislocations at the solid‐liquid interface, rather than thermal supercooling in conventional ...
Dongsheng Zhang +11 more
wiley +1 more source

