🤖 ProHiFlo speeds up AI protein generation with hierarchical flow matching

ProHiFlo, a hierarchical flow matching framework, has achieved state of the art performance in de novo protein generation, requiring 4 fewer sampling steps than previous methods. This breakthrough was announced on June 12, 2026,...

https://www.synestesia.uk/legacy/prohiflo-speeds-up-ai-protein-generation-with-hierarchical-flow-matching-2g7mapk5ev

#ComputationalBiology #GenerativeAI #DeepLearning #AI #AIPulse

🤖 Machine learning models lag in small molecule structure prediction

Current machine learning models for small molecule structure elucidation from mass spectrometry data often fail to outperform simple baseline methods. This surprising finding comes from a recent Nature Machine Learning article,...

https://www.synestesia.uk/legacy/machine-learning-models-lag-in-small-molecule-structure-prediction-2339y0hb7v

#ComputationalBiology #DeepLearning #PredictiveModels #AI #AIPulse

🤖 Medical Image Segmentation Advances with MONAI and UNet

Researchers are increasingly using MONAI and UNet for end to end 3D medical image segmentation tasks, achieving improved accuracy and efficiency. A recent tutorial highlights this trend, demonstrating a complete pipeline for 3D spleen segmentation...

https://www.synestesia.uk/legacy/medical-image-segmentation-advances-with-monai-and-unet-11ttgkswtx

#MedicalImaging #DeepLearning #ComputationalBiology #AI #AIPulse

🤖 The seed development "Spatiotemporal organisation of residual disease in mouse and human

The seed development "Spatiotemporal organisation of residual disease in mouse and human BRCA1 deficient mammary" reflects a recurring pattern in our archive coverage. This new research,...

https://www.synestesia.uk/legacy/the-seed-development-spatiotemporal-organisation-of-residual-disease-in-mouse-and-human-0iwkhjekb5

#ComputationalBiology #MedicalImaging #PredictiveModels #AI #AIPulse

🤖 Isomorphic Labs Bets Big on AI-Driven Drug Discovery

Isomorphic Labs is making significant strides in AI driven drug discovery by developing advanced protein modeling tools, with major partnerships and funding to back its efforts. The Google DeepMind spinout builds on Nobel Prize winning work in protein structure...

https://www.synestesia.uk/legacy/isomorphic-labs-bets-big-on-ai-driven-drug-discovery-13bk1w98a6

#ComputationalBiology #DeepLearning #Genomics #AI #AIPulse

🤖 Machine learning dissects cancer microenvironments with spatial ecotypes

Researchers at Stanford University and Mayo Clinic have developed a machine learning method called Spatial EcoTyper to identify shared multicellular patterns in cancer microenvironments. This innovative approach dissects the tumor...

https://www.synestesia.uk/legacy/machine-learning-dissects-cancer-microenvironments-with-spatial-ecotypes-0jwgcriykm

#ComputationalBiology #MedicalImaging #Genomics #AI #AIPulse

🤖 Have we built AI powerful enough to design proteins, but too complicated for most scientists to use?

🔗 BioPipelines: Accessible Computational Protein and Ligand Design for Chemical Biologists. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0129

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#BioPipelines #ProteinEngineering #ComputationalBiology #ProteinDesign #SyntheticBiology #Bioinformatics #AlphaFold #SystemsBiology #AI

🧬 If structure determines function, how can we optimize DNA therapeutics without accurately predicting their 3D shape?

🔗 Predicting Single-Stranded DNA Oligonucleotides 3D Structures: An Open Issue. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0127

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#StructuralBiology #DNA #ComputationalBiology #Bioinformatics #MolecularBiology #Aptamers #DNANanotechnology #GenomeEngineering #NucleicAcids