Results 191 to 200 of about 455,992 (287)
EC2Seq2Sql: Patient-trial matching with LLM agents. [PDF]
Yang L +6 more
europepmc +1 more source
Oil‐Coated Nanoplastics Induce Rapid Membrane Disruption and Severe Intestinal Injury
Oil‐rich food contact dramatically amplifies MNP release from plastic takeout containers, producing oil‐coated nanoplastics with altered surface properties and rapid membrane‐disruptive effects. These particles cause severe intestinal barrier damage and immune dysfunction in mice, and risk modeling suggests that long‐term gastrointestinal burdens may ...
Ruwen Xie +17 more
wiley +1 more source
Retrieval Augmented Generation (RAG) for Evaluating Regulatory Compliance of Drug Information and Clinical Trial Protocols. [PDF]
Waikar S, Bhat AG, Ramanathan M.
europepmc +1 more source
On describing human white matter anatomy: the white matter query language. [PDF]
Wassermann D +6 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
A Suite of LMs Comprehend Puzzle Statements as Well or Better Than Humans. [PDF]
Rakshit S +3 more
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Trace-LogVector-Based Relational Retrieval for Conversational System Log Analysis. [PDF]
Park SC, Kim YH.
europepmc +1 more source
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin +12 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

