关键词 "Clinical methods" 的搜索结果， 共 20 条, 只显示前 480 条
AI solutions for breast cancer detection
Medical data collection and annotation for healthcare NLP.
Medical image analysis and AI pioneer
AI-powered platform for neurovascular and vascular care
Advancing AI to power the future of medicine
PyTorch-based healthcare imaging framework
AI medical scribe for transcription and decision support.
AI-powered diagnosis and decision-making platform.
Oatmeal Health uses AI to screen and rescreen vulnerable populations for lung cancer.
The Intelligence Platform for Behavioral Health 行为医学智慧平台
A lightweight MCP server for managing interview questions. Built with Spring AI and JpaRepository, it communicates via STDIO and integrates with agents like Claude Desktop, requiring explicit permissi
A template idea project by springboot、mcp (server)、junit，including junit test methods.
solana mcp sever to enable solana rpc methods
A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology l
An advanced MCP Server for accessing and analyzing clinical evidence data, with flexible search options to support precision medicine and oncology research.
🔍 Enable AI assistants to search and access ClinicalTrials.gov data through a simple MCP interface.
The Neuro-Symbolic Autonomy Framework integrates neural, symbolic, and autonomous learning methods into a single, continuously evolving AI agent-building system. This prototype demonstrates the SCMA c
MCP server providing healthcare analytics capabilities for Smartsheet, including clinical note summarization, patient feedback analysis, and research impact assessment
一、核心技术：自学习和自修复的治疗引擎 PathOS Platform™是Pathos AI 的专有平台，构建于现代数据基础设施之上，能够自动化地进行靶点识别和优先级排序。 核心技术为自学习和自修复的Discovery Engine（发现引擎）： 1、自动靶点识别：利用多种正交方法（orthogonal methods）自动识别和优先排序药物靶点。 2、自适应模型：能够根据新数据进行自我学
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