MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
该仓库以结构化的方式展示了顶级会议中机器学习和生物医学交叉领域的最新研究，按领域分类便于浏览，并可直接访问论文和代码。
适合谁使用
- 从事生物医学应用的人工智能研究人员
- 计算生物学家和生物信息学家
- 临床医生和医疗AI从业者
- 科学机器学习领域的学生和教育工作者
典型使用场景
- 发现临床AI、药物发现和基因组学等领域的最新进展
- 查找附带开源代码的论文以促进可重复性研究
- 识别特定生物医学AI子领域的亮点论文和领先研究团队
- 用于教学或展示ICML中AI与生物医学交叉的研究全貌
项目优势
- 按10个主题分类，便于快速浏览
- 包含27篇亮点论文和161个代码链接，支持实践复现
- 覆盖从临床AI到免疫学和肿瘤学的广泛领域
- 采用CC0开放许可，并提供结构化的JSON数据
使用前须知
- 仅限ICML 2026的静态快照，非动态更新数据库
- 除分类外不支持搜索、筛选或排名
- 可能遗漏其他会议或非ICML的AI与生物医学交叉研究
README 快速开始
🗂️ Browse by Category
🏥Clinical AI & Healthcare88 papers · ⭐6🧠Neuroscience & Brain53 papers · ⭐6🧬Protein Design & Structure47 papers · ⭐7💊Drug Discovery & Molecular Design45 papers · ⭐5🔬Genomics & Sequence Biology30 papers · ⭐2
🩻Medical Imaging26 papers🔭Single-Cell & Spatial Omics14 papers⚗️Structural Biology & MD9 papers · ⭐1🛡️Immunology2 papers🔴Oncology1 papers
📊 Overview
| Metric | Value |
|---|---|
| Total papers | 315 |
| Spotlight papers | 27 (8.6%) |
| Papers with code | 161 (51%) |
| Conference | ICML 2026 · Vancouver, Canada |
| Data format | papers.json |
🌟 Spotlight papers appear first in each section. Papers with 💻 code links are open-source.
🏥 Clinical AI & Healthcare
Clinical decision support, EHR analysis, medical NLP, and AI-assisted diagnostics.
🌟 Spotlight Papers (6)
🌟 ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education
Zhitao He, Haolin Yang, Zeyu Qin, Yi R. Fung
While Large Language Models (LLMs) have achieved remarkable success in dyadic (one-on-one) instruction, they face significant challenges in One-to-Many alignment, such as clinical ward rounds, where an instructor must simultaneously guide a diverse group of trainees. Current models often suffer from...
Alignment fairness safety privacy and societal considerations
🌟 HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds
Tingting Chen, Beibei Lin, Zifeng Yuan, Qiran Zou
Many scientific problems are underdetermined: multiple distinct hypotheses are equally consistent with the same observations. In such settings, effective inference requires not only producing valid explanations, but also systematically exploring and covering the admissible hypothesis set. We introdu...
Underdetermination Set-Value Generation Hypothesis Diagnosis for creativity; Scientific discovery Sublinear Coverage Bounds
项目描述
ICML 2026 · AI × Biomedical Papers — 315 curated papers on protein design, genomics, drug discovery, clinical AI, and more
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