Mental health risks before the threshold: A longitudinal study of housing cost burden and depressive symptoms in South Korea. [PDF]
Yim T, Kim E, Park J.
europepmc +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Economic impact of standardized hypertension treatment on household income in Argentina: a longitudinal analysis, 2019-2024. [PDF]
Torroba S +5 more
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Albumin in hepatic encephalopathy: Evidence, prioritization, and the affordability gap in decompensated cirrhosis. [PDF]
Alam MS, Khatoon N.
europepmc +1 more source
Amphiphilic chloroazobenzenes, bearing different amino acids as end groups alanine, phenylalanine, and valine, exhibit excellent photoisomerizations. Varying structures of three amino acid groups participate in supramolecular formations and therefore photoinduced morphological transformations via adjusting intermolecular interactions. These interaction
Shuangshuang Meng +3 more
wiley +1 more source
Reply to the Letter to the Editor: "Albumin in hepatic encephalopathy: Evidence, prioritization, and the affordability gap in decompensated cirrhosis". [PDF]
Covre Coan AC +9 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Rhode Island Affordability Standards and Hospital-Affiliated Clinicians' Professional Fees.
Murray RC, Whaley CM, Ryan AM.
europepmc +1 more source

