Results 211 to 220 of about 152,362 (267)
A Bayesian Causal Model for Matrix-Valued Exposures With Applications to Radiotherapy Planning. [PDF]
Liu Z +6 more
europepmc +1 more source
This study identifies a FOSL2‐driven positive feedback loop that amplifies FSH/FSHR signaling. During FSH‐dependent follicle maturation, FSH induces Fosl2 expression via the cAMP‐PKA‐CREB cascade. FOSL2 in turn binds the promoters of Fshr and estrogen‐biosynthesis genes to enhance their transcription, thereby increasing Fshr mRNA level and amplifying ...
Hongru Shi +13 more
wiley +1 more source
From raw clinical data to robust prediction: an AI framework for early lymphedema detection. [PDF]
Sadek I +8 more
europepmc +1 more source
This study reports a novel rationally‐designed optical nanoprobe based on dumbbell‐shaped mesoporous silica‐coated gold nanorods, loaded with rare‐earth oxides, photosensitizers, and tumor‐targeted peptides, enabling plasmonic‐enhanced multimodal imaging and PTT‐PDT synergy.
Baikang Zhuang +12 more
wiley +1 more source
Sleep restriction increases reward sensitivity during sequential updating. [PDF]
Lim JYL, Bennett D, Drummond SPA.
europepmc +1 more source
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
Are we ready to tackle perceptual segmentation of natural scenes? [PDF]
Coen-Cagli R, Mamassian P.
europepmc +1 more source
ABSTRACT The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging.
Lang Chen +7 more
wiley +1 more source
Explainable artificial intelligence for stroke risk stratification in atrial fibrillation. [PDF]
Zimmerman RM +4 more
europepmc +1 more source

