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    • iPSC-Cardio Cells
    • HALO: A Unified Visio
  • Publications
    • Adoption and Use of LLMs at an Academic Medical Center
    • Toward AI-Driven Digital Organism
    • You Can Run, You Can Hide: The Epidemiology and Statistical Mechanics of Zombies
    • embryonic stem cell-derived cardiac organoids via synthetic guidance
    • In vitro generation of human pluripotent stem cell derived lung organoids
    • Generating Self-Assembling Human Heart Organoids Derived from Pluripotent Stem Cells
    • SMAD4: A Critical Regulator of Cardiac Neural Crest Cell Fate and Vascular Smooth Muscle Differentiation. bioRxiv
    • Insights into AI Agent Security from a Large-Scale Red-Teaming Competition
    • TxPert: using multiple knowledge graphs for prediction of transcriptomic perturbation effects
    • Self-organizing human heart assembloids with autologous and developmentally relevant cardiac neural crest-derived tissues
    • Path Planning of Cleaning Robot with Reinforcement Learning
    • Reinforcement Learning Approaches in Social Robotics
    • Robotic Packaging Optimization with Reinforcement Learning
    • A Concise Introduction to Reinforcement Learning in Robotics
    • Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
    • Robotic Surgery With Lean Reinforcement Learning
    • Residual Reinforcement Learning for Robot Control
    • Autonomous robotic nanofabrication with reinforcement learning
    • Heterogeneous Multi-Robot Reinforcement Learning
    • Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
    • Reinforcement learning for freeform robot design
    • Geometric Reinforcement Learning For Robotic Manipulation
    • On-Robot Bayesian Reinforcement Learning for POMDPs
    • Efficient Content-Based Sparse Attention with Routing Transformers
    • A foundation model of transcription across human cell types
    • Transformer AI
    • HALO, a unified VLA model that enables embodied multimodal chain-of-thought (EM-CoT) reasoning through a sequential process of textual task reasoning, visual subgoal prediction for fine-grained guidan
    • HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning
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SubXeurons

  • i
    iPSC-Cardio Cells

    Pluripotent stem cell-derived organoids can recapitulate significant features of organ development in vitro. We hypothesized that creating human heart organoids by mimicking aspects of in utero gestation (e.g., addition of metabolic and hormonal factors) would lead to higher physiological and anatomical relevance. We find that heart organoids produced using this self-organization-driven developmental induction strategy are remarkably similar transcriptionally and morphologically to age-matched human embryonic hearts. We also show that they recapitulate several aspects of cardiac development, including large atrial and ventricular chambers, proepicardial organ formation, and retinoic acid-mediated anterior-posterior patterning, mimicking the developmental processes found in the post-heart tube stage primitive heart

  • H
    HALO: A Unified Visio

    HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning

Publications

  • G
    Generating Self-Assembling Human Heart Organoids Derived from Pluripotent Stem Cells

    This paper presents a scalable and reproducible protocol for generating human heart organoids (hHOs) from pluripotent stem cells using a three-step Wnt signaling modulation strategy. These organoids self-organize into complex structures that replicate key aspects of the developing human heart, including chamber formation, vascular networks, and multiple cardiac cell lineages, providing a high-throughput platform for disease modeling and drug testing.

  • S
    SMAD4: A Critical Regulator of Cardiac Neural Crest Cell Fate and Vascular Smooth Muscle Differentiation. bioRxiv
  • I
    Insights into AI Agent Security from a Large-Scale Red-Teaming Competition

    A key challenge in benchmarking AI system security – one we highlighted in our blog post, and emphasized by other top security researchers – is the need for security evaluations to constantly evolve and adapt in order to assess the risks from real-world adversaries, who continuously seek out new attacks and tailor their techniques to particular targets and defenses.

  • T
    TxPert: using multiple knowledge graphs for prediction of transcriptomic perturbation effects

    TxPert, a latent-transfer-based deep learning method that uses multiple knowledge graphs of gene (product)–gene (product) relationships to predict transcriptomic perturbation effects.

  • S
    Self-organizing human heart assembloids with autologous and developmentally relevant cardiac neural crest-derived tissues

    Human neural crest heart assembloids resembling the major directions of neural crest differentiation in the human embryonic heart, including parasympathetic innervation and the mesenchymal component of the outflow tract, provide a human-relevant embryonic platform for studying congenital heart defects and drug safety.

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