AI Designing Functional Proteins from Plain Text Prompts?nature "I told AI to make me a protein. Here’s what it came up with" 1. Scientists are developing a new generation of AI tools that can translate plain language instructions into protein designs and other biological

How Can Large-Scale Foundation Models Transform Single-Cell Transcriptomics Analysis?Nature Communications "CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells" 1. Single-cell RNA sequencing data analysis faces challenges from inherent

Rethinking Microglia Classification: A Continuous Spectrum or Discrete Subtypes?Nature Neuroscience "A dynamic and multimodal framework to define microglial states" • How can we reconcile the proliferation of purportedly distinct microglial subtypes identified through single-cell

How can we make whole-brain modeling more efficient and accurate for understanding brain dynamics in health and disease?eLife - the journal Inserm "Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models" • Virtual

Can we precisely control where RNA molecules go inside living cells to understand their spatial functions?nature Stanley Qi Lab Stanford University "Programmable control of spatial transcriptome in live cells and neurons" 1. RNA localization orchestrates spatiotemporal regulation of

What innovative technique could solve the challenge of isolating specific cell clones from complex populations?Nature Biotechnology 東京大学先端科学技術研究センター yachielab UBC School of Biomedical Engineering "A multi-kingdom genetic barcoding system for precise clone isolation" • The article introduces CloneSelect, a

How can we solve the critical reproducibility crisis plaguing genomic foundation models that prevents their widespread adoption despite their transformative potential?arXiv.org "OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking" • Genomic

How can we overcome the computational bottleneck that makes amortized Bayesian inference impractical for large-scale hierarchical models with hundreds of thousands of parameters?arXiv.org "Compositional amortized inference for large-scale hierarchical Bayesian models" •

How can we bridge the critical gap between AI technologies and practical drug discovery applications where 82% of existing systems only support basic data types and researchers lack technical expertise to operate state-of-the-art deep learning models?Wuhan University arXiv.org

Can we build AI-powered "virtual cells" that predict, explain, and discover new biology to revolutionize drug discovery where 9 out of 10 drugs currently fail in clinical trials?arXiv.org Valence Labs "Virtual Cells: Predict, Explain, Discover" • Drug discovery faces a 90%

How can healthcare systems navigate the rapid adoption of generative AI while balancing tremendous potential benefits against significant risks in an era where regulatory frameworks lag behind technological advancement?npj Digital Medicine Stanford University "A framework for considering the

Are AI tools being misused to flood scientific literature with thousands of formulaic, low-quality health studies that make misleading claims while undermining genuine medical research?nature "AI linked to explosion of low-quality biomedical research papers" • The scientific

Can machine learning approaches accurately predict which DNA sequences will function as cell-type-specific enhancers in the mammalian brain, and what computational features are most critical for this prediction?Cell Genomics Allen Institute "Evaluating methods for the

Can machine learning models trained on single-cell genomic data from nonhuman primates successfully identify cell-type-specific enhancers that work effectively for optogenetic circuit manipulation in the primate brain?Neuron University of Pittsburgh Carnegie Mellon University "Machine learning

How can we create AI systems that not only process DNA sequences but also explain their biological reasoning in human-understandable terms?arXiv.org "BIOREASON: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model" • Current DNA foundation models like Evo2 and

How do protein language models internally organize and factorize structural knowledge within their learned parameters, and does this organization affect downstream structure prediction tasks?bioRxiv Microsoft Research Brown University "Trainable subnetworks reveal insights

How can we adapt reinforcement learning techniques from large language models to improve visual reasoning capabilities in vision foundation models, particularly for visual prompting tasks?arXiv.org Texas A&M University Bosch Center for Artificial Intelligence "DINO-R1: Incentivizing Reasoning Capability in Vision Foundation

🚀 Excited to release BoltzDesign1! ✨ Now with LogMD-based trajectory visualization. 🔗 Demo: rcsb.ai/ff9c2b1ee8 Feedback & collabs welcome! 🙌 🔗: GitHub: github.com/yehlincho/Bolt… 🔗: Colab: colab.research.google.com/github/yehlinc… Sergey Ovchinnikov Martin Pacesa