Post

@natmethods.nature.com

Our September issue is live! 🎉 www.nature.com/nmeth/volume... This special issue includes a Focus on AI in biological research. AI is everywhere these days, and is impacting nearly all fields of biology. To learn more, read our Editorial and check out the focus content!

nature.comNature Methods - Focus on AI in biological researchThis month, several review and opinion pieces discuss how AI is having an impact across nearly all areas of biological research.See Editorial

@natmethods.nature.com

Editorial: www.nature.com/articles/s41...

nature.comEmbedding AI in biology — part 2 - Nature MethodsArtificial intelligence is rapidly changing the landscape of how biological data are acquired and analyzed. Almost no corner of biological research has been left untouched.

@natmethods.nature.com

Comment: www.nature.com/articles/s41...

nature.comTowards predictive virtual embryos with genomics and AI - Nature MethodsPredictive virtual embryo systems that integrate single-cell and spatial data with artificial intelligence (AI) techniques offer a promising avenue for modeling mammalian embryogenesis across scales a...

@natmethods.nature.com

Comment: www.nature.com/articles/s41...

nature.comnature.com

@natmethods.nature.com

Comment: www.nature.com/articles/s41...

nature.comDisruption of the research software landscape through AI software generation - Nature MethodsSpecialized research software has historically been costly and time-consuming to create, but large language models (LLMs) have become capable enough at code generation to fundamentally change this. We...

@natmethods.nature.com

Perspective: www.nature.com/articles/s41...

nature.comAI proteomics: from protein identification to virtual cells - Nature MethodsThis Perspective highlights key research areas within mass spectrometry-based proteomics where AI is poised to drive significant advances.

@natmethods.nature.com

Perspective: www.nature.com/articles/s41...

nature.comFrom pixels to patterns: the AI revolution in stem cell-derived models - Nature MethodsThis Perspective examines the role of AI-based image analysis when applied to stem cell-derived models.

@natmethods.nature.com

Perspective: www.nature.com/articles/s41...

nature.comBenchmarking biomedical foundation models - Nature MethodsFoundation models are becoming increasingly popular across various biological domains, yet rigorous methods to comprehensively evaluate their full potential remain underdeveloped. This Perspective dis...

@natmethods.nature.com

Perspective: www.nature.com/articles/s41...

nature.comOpen and sustainable AI: challenges, opportunities and the road ahead in the life sciences - Nature MethodsThis Perspective provides recommendations for open and sustainable AI and associated resources facilitating exploration and implementation.

@natmethods.nature.com

Review: www.nature.com/articles/s41...

nature.comAI-empowered super-resolution microscopy: a revolution in nanoscale cellular imaging - Nature MethodsThis Review provides a comprehensive discussion of how methods in machine learning and computer vision have been used to improve super-resolution microscopy to gain insights into subcellular biology.

10/9/26, 3:05 pm1 repost1 like

No replies yet.