NeurIPS 2026 Workshop: Foundation Models for the Brain and Body
NeurIPS · NeurIPS 2026, Sydney · 2026-12-11
NeurIPS 2026脑与身体基础模型研讨会。
年份：2026
共 55 条，按时间倒序。
AgenticLS @ NeurIPS 2026 — Agentic AI for Biological Discovery
NeurIPS · NeurIPS 2026, Sydney · 2026-12-11
NeurIPS 2026生物发现智能体研讨会。
SIMBIOCHEM II · NeurIPS 2026 Workshop on ML for Simulation
NeurIPS · NeurIPS 2026, Sydney · 2026-12-11
NeurIPS 2026生物化学模拟研讨会。
SNO 2026 31st Annual Meeting
Society for Neuro-Oncology · Philadelphia, PA (to Nov 15) · 2026-11-12
SNO 2026：11月12-15日费城；2027年11月18-21日凤凰城。
Engineered regulatory states resolve context-dependent genetics in macular degeneration
Metzner E, Guruvayurappan K, Southard KM, Ardy RC, Dey KK, Norman TM. · bioRxiv · 2026-10-12
Norman/Dey 实验室（MSKCC）：在 RPE-1 中对 119 个 TF 做 CRISPRa Multiome Perturb-seq、对 1,225 个 TF 对做双向导 Perturb-seq；染色质预激活可预测新兴状态；Mosaic（Transformer）预测 TF 对相互作用残差（r=0.484），并提名经实验验证的三 TF 组合。
A State-Resolved Single-Cell and Spatial Atlas Reveals IDH-Associated Differences in Malignant and Immune Architecture in Diffuse Glioma.
Zaman A et al. · MedComm · 2026-10-04
IDH相关胶质瘤状态分辨图谱。
ISP 3 Platform powered by Geneformer: Framework for Cross-Species, Sequential, and Multi-Gene In Silico Perturbation Screens with Application to iPS Cell State Transitions
Sanaki Y, Shigenobu S, Niwa R. · bioRxiv · 2026-09-24
ISP3平台：基于Geneformer的多基因序贯模拟扰动。
EANO 2026 (21st meeting)
European Association of Neuro-Oncology · Rome, Italy (to Sep 27) · 2026-09-24
EANO 2026：9月24-27日罗马（已结束）。
Beyond the drug-centric view: Advancing AI virtual cell platforms for environmental perturbation modelling.
Ukaegbu D, Curean V, Bender A, Maertens A. · ALTEX · 2026-09-17
观点：虚拟细胞用于环境暴露/毒理扰动建模。
Spatial and single-cell dissection of medulloblastoma identifies developmental hierarchies and a prognostic PPIA-BSG tumor-immune axis.
Chen M, Duan B, Zhang J, Daniels C, Hu C, Yuan J, Guo J, Taylor MD, Shi X, Zhang L, Li D, Sun T. · Journal of translational medicine · 2026-09-15
髓母细胞瘤空间与单细胞层级（2026）。
An operational perturbation proteomics-based virtual cell model.
Sun R et al. · Nature · 2026-09-09
Nature 2026：基于扰动蛋白质组的可操作虚拟细胞模型。
Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.
Zhang J et al. · Cell · 2026-09-01
Tahoe-100M正式发表于Cell 2026。
scBaseCount: An AI agent-curated, standardized, auto-updated single-cell data repository.
Youngblut ND et al. · Cell · 2026-09-01
scBaseCount：AI代理自动整理的单细胞数据库（Arc）。
A world model of the virtual cell
Xing et al. · Cell · 2026-09
Cell正式版VCWM：持久多模态虚拟细胞世界模型，区别于任务型预测基础模型。
Predicting cellular responses to perturbation across diverse contexts with State.
Adduri AK et al. · Cell · 2026-08-31
Arc的State模型：跨70种细胞情境预测扰动反应（Cell 2026）。
Virtual Cell Challenge 2026: Benchmarking zero-shot generalization across cellular contexts.
Arc Virtual Cell Initiative Team, Goodarzi H. · Cell · 2026-08-26
2026挑战赛论文：跨细胞情境零样本泛化基准。
Virtual Cell Challenge 2026 (zero-shot, 6 unseen cell lines)
Arc Institute · virtualcellchallenge.org · 2026-08-20
2026挑战赛：8月20日起验证；10月22日发布终测集；11月5日23:59 UTC截止；11月中下旬公布（Arc官网确认）。
AIDO Cell: a general-purpose simulator for cell biology
GenBio AI · GenBio web · 2026-08-18
GenBio的有状态多模态细胞模拟器。
Biological domain shift and statistical nesting concerns in generative AI-based spatial tumor growth prediction for pediatric diffuse midline glioma.
Li W, Sun X, Pei S. · BMC medicine · 2026-08-12
对上述DMG生成模型的方法学批评。
PerturbLDM: conditional latent diffusion for modelling single-cell perturbation responses
Yu et al. · bioRxiv · 2026-08-12
PerturbLDM：在Tahoe-100M上预训练的条件潜扩散模型，生成药物/剂量/细胞系扰动的单细胞响应。
UniPert-G2CP bridges genetic and chemical screens from molecular representation to phenotype modeling
Li et al. · Cell · 2026-08
UniPert-G2CP：统一基因/化学扰动表征，并把CRISPR筛查迁移到药物表型预测。
Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer.
Chen J, Schmidt F, Henao R. · PLoS computational biology · 2026-07-30
评估Geneformer类模型的规模效应。
Core2Edge: a human glioblastoma organoid-brain slice model capturing infiltration and transcriptional heterogeneity from core to single-cell dispersion.
Melhem A et al. · Nature protocols · 2026-07-28
Core2Edge：GBM类器官-脑片浸润模型。
An Empirical Comparison of Virtual Cell Models: Perturbation Prediction, Representation, and the Baseline Gap
Denvis O. · Research Square · 2026-07-22
虚拟细胞模型实证比较：与基线差距依旧。
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction.
Kendiukhov I. · BMC genomics · 2026-07-22
单细胞基础模型注意力边得分未增加调控网络信息。
Causal Models Need Causal Data - Xaira's X-Cell (podcast)
Latent Space · Latent Space podcast · 2026-07-21
播客：因果数据与扩散模型。
ISMB 2026
ISCB · Washington, DC (to Jul 16) · 2026-07-12
ISMB 2026：7月12-16日华盛顿。
ICML 2026 3rd Workshop on Multi-modal FMs & LLMs for Life Sciences
ICML · ICML 2026, COEX Seoul · 2026-07-11
ICML 2026生命科学多模态基础模型研讨会。
A World Model of the Virtual Cell (ICML 2026)
ICML 2026 · ICML 2026 · 2026-07
提出“虚拟细胞世界模型”的操作性定义。
Lessons from Ron Alfa (Noetik) on AI-native precision oncology
Pear Healthcare Playbook · Substack · 2026-06-30
Noetik CEO访谈。
Single-cell and spatial transcriptomes reveal oligodendrocyte remodeling fatty acid metabolism microenvironment of lung cancer brain metastases.
Yang Y, Gao Y, Qi Z, Li S, Wang Z, Li D, Chen L, Zhou C, Feng M, Chen X, Hao B, Wu X, Li L, Cao Y. · Journal of translational medicine · 2026-06-16
脑转移中少突胶质细胞脂肪酸代谢重塑。
Automated and personalized glioblastoma tumor organoid drug screening platform exposes sensitivity to proteasome and HDAC inhibitors.
Jungwirth G et al. · NPJ precision oncology · 2026-06-16
自动化个体化GBM类器官药筛平台。
Cellfm-datasets: A Unified Data Infrastructure for Single-Cell and Spatial Transcriptomics Foundation Model Pretraining
Zhang L, Pang J, Yan J, Tang W, Deng Y, He Y. · bioRxiv · 2026-06-14
CellFM-datasets：统一单细胞与空间数据基础设施。
RECOMB 2026
RECOMB · Thessaloniki, Greece (to May 29) · 2026-05-26
RECOMB 2026；2027据称在多伦多（日期未确认）。
Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline glioma.
Laslo D et al. · BMC medicine · 2026-05-18
生成式AI预测儿童DMG的MRI空间生长。
TumorTwin: a Python framework for patient-specific digital twins in oncology
Kapteyn et al. · BMC Med Inform Decis Mak · 2026-05-11
开源模块化Python肿瘤数字孪生框架；演示高级别胶质瘤生长与放疗反应。
TxPert: using multiple knowledge graphs for prediction of transcriptomic perturbation effects.
Wenkel F et al. · Nature biotechnology · 2026-05-01
TxPert：多知识图谱预测转录组扰动效应。
LMRL Workshop @ ICLR 2026 (virtual cells)
ICLR · ICLR 2026, Rio de Janeiro · 2026-04-27
ICLR 2026 LMRL虚拟细胞研讨会。
Discovery of candidate therapeutic targets with Geneformer.
Zhang Y, Venkatesh MS, Theodoris CV. · Nature protocols · 2026-04-23
Nature Protocols：用Geneformer进行靶点发现的流程。
A Proteome-Calibrated Mechanistic Digital Twin of the Glioblastoma Astrocyte Derived from Patient Multi-Omic Data
Mayfield JD. · bioRxiv · 2026-04-23
蛋白质组校准的GBM星形细胞机制性数字孪生（预印本）。
A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma.
Sussman JH et al. · Cell reports. Medicine · 2026-04-23
儿童高级别胶质瘤纵向单细胞/空间图谱。
Signal, Bounds, and Baselines: Principles for Evaluating Virtual Cell Perturbation Models
Vollenweider M, Bühlmann P. · bioRxiv · 2026-04-22
虚拟细胞扰动模型评估原则：信号、上界与基线。
Training transformers to solve cancer trial failure — Ron Alfa & Daniel Bear, Noetik
Latent Space · Latent Space podcast · 2026-04-20
Noetik肿瘤空间虚拟细胞模型TARIO-2与GSK合作。
Harnessing AI to Build Virtual Cells (VCHarness)
Cheng et al. · bioRxiv · 2026-04-14
VCHarness：用自主AI编程智能体搜索并迭代扰动响应架构，加速虚拟细胞组件构建。
Scaling Bio 007: Xaira's Bo Wang and Ci Chu on building the virtual cell
Decoding Bio · Substack · 2026-03-30
王波、Ci Chu访谈：X-Cell与泛化局限。
Xaira's first virtual cell model is largest to-date
GEN · GEN · 2026-03-25
GEN报道X-Cell，并含Noetik观点。
X-Cell: Scaling Causal Perturbation Prediction Across Diverse Cellular Contexts via Diffusion Language Models
Wang C et al. · bioRxiv · 2026-03-20
Xaira的X-Cell：49亿参数扩散模型，显示扰动预测的缩放规律。
AetherCell: A generative engine for virtual cell perturbation and in vivo drug discovery
Li et al. · bioRxiv · 2026-03-16
AetherCell统一临床RNA-seq与扰动实验流形，做生成式响应预测并支持体内药物重定位。
Towards building a World Model to simulate perturbation-induced cellular dynamics by AlphaCell
Chuai et al. · bioRxiv · 2026-03-05
AlphaCell：全基因组虚拟细胞世界模型，用最优传输条件流匹配做跨语境扰动动力学。
Current landscape of single-cell genomics in meningioma.
Ellenbogen Y, Landry AP, Yefet LS, Ajisebutu A, Gui C, Persaud P, Kaloti R, Nassiri F. · Neuro-oncology advances · 2026-02-27
综述：脑膜瘤单细胞基因组学现状。
Foundation Model Based on Routine Magnetic Resonance Imaging for Brain Tumor Molecular Profiling and Progression Prediction.
Li J, Liu R, Xing Y, Gao X, Yin Q, Su Q. · JCO precision oncology · 2026-02-20
基于常规MRI的脑肿瘤分子分型基础模型。
Scalable probe-based single-cell transcriptional profiling for virtual cell perturbation mapping and synthetic biology phenotyping
Swinderman JT et al. · bioRxiv · 2026-02-05
探针法可扩展单细胞测序用于虚拟细胞扰动图谱。
CellFluxV2 : An Image Generative Foundation Model for Virtual Cell Modeling
Zhang Y, Su Y, Wefers Z, Su S, Li H, Li T, Wang C, Burgess J, Lozano A, Zhou L, Ding D, Nirschl J, Lundberg E, Yeung-Levy S. · bioRxiv · 2026-01-20
CellFluxV2：面向虚拟细胞的图像生成基础模型。
Anatomically aware simulation of patient-specific glioblastoma xenografts
Malik et al. · PLoS Comput Biol · 2026-01-20
基于小鼠脑解剖的患者特异性GBM异种移植生长/侵袭模型；ABC拟合；通过扰动参数模拟治疗。
Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations
Suter et al. · Nature Communications · 2026-01-07
scFOCAL/ISOSCELES：把GBM细胞状态接到L1000药签，预测状态敏感度并验证OLIG2抑制剂+Depatux-M。