Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

3results about How to "Improve scientific research efficiency" patented technology

A black light experiment cooperative control system and method based on multi-agent cooperative decision-making

PendingCN122592877ABreak through the standardization precipitationBreak through cross-organizational reuse
The present application relates to the technical field of artificial intelligence and black light experiment collaborative control, in particular to a black light experiment collaborative control system and method based on multi-agent collaborative decision. It includes multi-agent collaborative decision module, digital twin and protocol conversion module, black light experiment execution module, human-computer interaction quality control module and result analysis and skill sedimentation module. Through the cooperation of the five modules of multi-agent collaborative decision, digital twin and protocol conversion, multi-actuator arrangement, human-computer interaction quality control, result analysis and skill sedimentation, end-to-end full closed loop from natural language scientific research task input to 7*24 hours unattended experiment execution, full-dimensional data quality control to structured skill sedimentation reuse is realized. The pain points of high dependence on traditional scientific research manpower, poor experimental reproducibility and difficult knowledge inheritance are solved, and the scientific research efficiency and achievement quality are greatly improved.
Owner:HANGZHOU CHANGSU BIOTECHNOLOGY CO LTD

Knowledge network updating method and system

PendingCN122287827AExpand depthExpand breadthResearch efficiencyResearch model
This invention provides a method and system for updating a knowledge network, acquiring a multi-source collection of scientific research knowledge on pediatric oncology, encompassing structured and unstructured knowledge from multiple disciplines. It utilizes a large-scale scientific research model to align and integrate interdisciplinary knowledge, generating a pediatric oncology research knowledge network. Based on explicit associations, it generates queries and hypothesis-guided directions, constructs a multi-step interdisciplinary reasoning chain to uncover intrinsic connections, predicts potential biological mechanisms or treatment strategy optimization directions in pediatric oncology research, and supplements the knowledge network to complete dynamic updates. This invention achieves the organic integration and dynamic updating of pediatric oncology knowledge, ensuring the knowledge network remains synchronized with the latest research findings, thus improving research efficiency and promoting continuous progress in pediatric oncology research.
Owner:CHILDRENS HOSPITAL OF FUDAN UNIV