Results 181 to 190 of about 103,708 (231)
PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao +16 more
wiley +1 more source
Reference Point-Dependent Reinforcement Learning in Humans and Rats
Palminteri S +4 more
europepmc +1 more source
This study reveals that Urolithin A (UA) counteracts alcohol‐induced cognitive and social dysfunction (AICSD) via a gut microbiome‐dependent mechanism. UA‐enriched Bacteroids sartorii and Parabacteroids distasonis elevate anandamide (AEA), which activates the CB1R‐DRD2‐Rap1 signaling cascade to drive synaptic repair and reduce neuroinflammation ...
Hongbo Zhang +9 more
wiley +1 more source
Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study.
Kurisu K +4 more
europepmc +1 more source
rECMOmender: Reinforcement Learning for Decision Support in Venovenous Extracorporeal Membrane Oxygenation Management. [PDF]
Song J +10 more
europepmc +1 more source
Bacterial α‐diversity decreases, but stochasticity and community stability increase across the 15 m‐depth vertical profiles and along the degraded gradient within the active layer. The abundance and interaction of core taxa mainly control community stability in the active and permafrost layers, respectively.
Shengyun Chen +13 more
wiley +1 more source
Estrogen modulates reward prediction errors and reinforcement learning. [PDF]
Golden CEM +9 more
europepmc +1 more source
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu +6 more
wiley +1 more source
Deep Reinforcement Learning for Sustainable Urban Mobility: A Bibliometric and Empirical Review. [PDF]
Jamal S +5 more
europepmc +1 more source

