Results 201 to 210 of about 501,394 (311)
Current Status and Future Perspectives of Robotic Surgery for Esophagogastric Cancer in Asia
ABSTRACT Robotic‐assisted surgery (RAS) has moved from an experimental adjunct to an increasingly established component of gastrointestinal (GI) oncological practice in parts of Asia, a region that carries a disproportionately high burden of gastric and esophageal cancer. Asian surgeons have been among the earliest and most prolific contributors to the
Jia Jun Ang, Jimmy Bok Yan So
wiley +1 more source
ABSTRACT Background The Ideal Outcome is a composite quality indicator reflecting optimal postoperative course after pancreatic surgery. This study aimed to clarify the prognostic significance of achieving the Ideal Outcome and its influence on the initiation and completion of adjuvant chemotherapy.
Ryosuke Fukushima +9 more
wiley +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Auditory Biomarkers in Neurodegenerative Disorders: A Literature Review. [PDF]
Palakkot S, Banik A.
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
MEG resting state alpha and beta band functional connectivity in male children with autism and sensory processing dysfunction. [PDF]
Demopoulos C +9 more
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Doing the math: detection and neural processing of auditory task-unrelated stimuli while solving arithmetic tasks. [PDF]
Brockhoff L +5 more
europepmc +1 more source

