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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.
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FR-AI / ANALYSISWhy it is worth attention
Provides a comprehensive, structured overview of the intersection of machine learning and biomedicine at a top-tier conference, with easy navigation by domain and immediate access to papers and code.
Who it is for
- AI researchers interested in biomedical applications
- Computational biologists and bioinformaticians
- Clinicians and healthcare AI practitioners
- Students and educators in ML for science
Use cases
- Discovering recent advances in clinical AI, drug discovery, and genomics
- Finding papers with open-source code for reproducibility
- Identifying spotlight papers and leading research groups in specific biomedical AI subfields
- Teaching or presenting the landscape of AI x Biomedicine at ICML
Strengths
- Curated into 10 thematic categories for quick navigation
- Includes 27 spotlight papers and 161 with code links for practical reproducibility
- Covers a wide breadth from clinical AI to immunology and oncology
- Open-licensed (CC0) and available as structured JSON data
Considerations
- Static snapshot limited to ICML 2026, not a living database
- No search, filtering, or ranking beyond categories
- May miss papers from other venues or non-ICML AI x Biomed research
README quick start
🗂️ 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
Description
ICML 2026 · AI × Biomedical Papers — 315 curated papers on protein design, genomics, drug discovery, clinical AI, and more
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