AI 虛擬細胞
細胞狀態、擾動響應與細胞基礎模型。連接研究原文、公司檔案與當前公開已核驗事件；保留來源和日期。
主題標籤來自自動檢索分類，用於找到相關材料；它不證明公司具有某項技術，也不等於研究已建立因果或臨床效果。
研究與行業原文
Isomorphic Labs joins the Virtual Biology Initiative to build foundational data for AI models to predict and treat disease
Isomorphic Labs official announcements · 行業原文收錄 · 來源發佈：Wed Oct 07 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:07:57 GMT+0000 (Coordinated Universal Time)
Listen: Spotify Apple Podcasts Convened by Biohub, participating organisations are investing funding, data, computation and new measurement technology - the largest coordinated commitment to generating AI-ready biologica
CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics.
PubMed / NCBI E-utilities · 學術索引收錄 · 來源發佈：Mon Oct 05 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 05:41:45 GMT+0000 (Coordinated Universal Time)
Recent advances in spatial transcriptomics (ST) have achieved subcellular spatial resolution, yet existing platforms either capture sparse transcript counts per spot or measure only a limited number of genes, complicatin
CytoVI: deep generative modeling of antibody-based single cell data.
PubMed / NCBI E-utilities · 學術索引收錄 · 來源發佈：Wed Sep 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:09:22 GMT+0000 (Coordinated Universal Time)
Antibody-based single-cell technologies, such as flow cytometry, mass cytometry and CITE-seq, have become widely used in clinical diagnostics and basic research; however, their analysis is complicated by technical noise,
4D spatiotemporal landscape of mitochondrial phenotypes across cellular states unlocked through representation learning.
PubMed / NCBI E-utilities · 學術索引收錄 · 來源發佈：Thu Sep 10 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:08:08 GMT+0000 (Coordinated Universal Time)
Mitochondria are four-dimensional (4D: x, y, z, and time) organelles essential for cellular function. Characterizing their 4D phenotypic landscape across diverse cellular states requires both 4D imaging and analytical fr
An operational perturbation proteomics-based virtual cell model.
PubMed / NCBI E-utilities · 學術索引收錄 · 來源發佈：Wed Sep 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:08:08 GMT+0000 (Coordinated Universal Time)
Artificial intelligence-empowered virtual cell models represent an emerging approach for in silico drug discovery 1-3 , yet most existing approaches lack large-scale, time-resolved perturbation proteomics data and interp
Deep-learning-based de novo discovery and design of therapeutics that reverse disease-associated transcriptional phenotypes.
Europe PMC REST API · 學術索引收錄 · 來源發佈：Tue Mar 17 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:08:13 GMT+0000 (Coordinated Universal Time)
Identifying drugs that reverse disease-associated transcriptomic features has been widely explored for drug repurposing, but its potential for de novo drug discovery remains underexplored. Here, we present gene expressio
Accelerating Single-Cell Deep Learning with scDataset and Tahoe-100M
Tahoe official blog RSS · 行業原文收錄 · 來源發佈：Wed Jul 16 2025 18:56:30 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 07:03:31 GMT+0000 (Coordinated Universal Time)
As single-cell technologies scale, biology is entering a new era—one where the volume and complexity of data now rival those in fields like computer vision and natural language processing. Among the most powerful advance
How to build the virtual cell with artificial intelligence: Priorities and opportunities.
Europe PMC REST API · 學術索引收錄 · 來源發佈：Sun Dec 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:08:13 GMT+0000 (Coordinated Universal Time)
Cells are essential to understanding health and disease, yet traditional models fall short of modeling and simulating their function and behavior. Advances in AI and omics offer groundbreaking opportunities to create an
Interpretable spatially aware dimension reduction of spatial transcriptomics with STAMP.
Europe PMC REST API · 學術索引收錄 · 來源發佈：Tue Oct 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄：Thu Oct 08 2026 09:08:13 GMT+0000 (Coordinated Universal Time)
Spatial transcriptomics produces high-dimensional gene expression measurements with spatial context. Obtaining a biologically meaningful low-dimensional representation of such data is crucial for effective interpretation
當前公開已核驗事件
Isomorphic Labs 加入 Virtual Biology Initiative
Wed Oct 07 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 1 條當前公開證據
据 Isomorphic Labs 官方公告，加入由 Biohub 召集的 Virtual Biology Initiative，参与组织将投入数据、计算与测量技术。Biohub 尚未完成本库实体归属核验，暂不绘制关系边。
有相關公開原文的公司
- Isomorphic Labs · AI與模型數據 · 英国/美国
- Tahoe Therapeutics · AI與模型數據 · 美国
專題指南：從原文到判斷
按任務比較模型，按證據追蹤合作；每篇保留原始出處與更新日期。
虛擬細胞、AI 模型與公司：應該怎樣比較？
按輸入、輸出、任務和驗證條件比較單細胞模型、結構預測與蛋白設計，並區分模型論文與公司能力。
閱讀指南 · 更新 2026-10-08
每週 AI 制藥信息怎麼讀：公司動態、研究進展與覆蓋缺口
建立每週閱讀順序，分清公告、論文與臨床結果；理解本站本週收錄的時間窗口、分母和來源覆蓋。
閱讀指南 · 更新 2026-10-08