🤖 AI speeds discovery of targeted antibiotics, reducing collateral damage
Researchers are increasingly using AI to discover targeted antibiotics, reducing the risk of collateral damage to beneficial gut microflora. This development is led by researchers like microbiologist Jonathan Stokes at McMaster...
#ComputationalBiology #DeepLearning #PredictiveModels #AIPulse
🤖 Machine learning model PRISM boosts accuracy in microbial detection from cancer genomic data
Researchers have developed PRISM, a machine learning model that accurately detects microbial species from human genomic data, particularly in low biomass settings, with significant...
🤖 AI models for cancer therapy response prediction see rapid progress
Cancer AI models are increasingly incorporating gene data to predict therapy response. Researchers at a leading institution have made a significant breakthrough in this area, developing a joint matrix factorization framework called FORGE that...
I Built a Single-Cell RNA-seq Pipeline That Writes Its Own Report
Single-cell RNA sequencing is one of those techniques that generates a huge amount of data and then demands a huge amount of effort to interpret it. You run the sequencer, get a matrix of 20,000 genes by several thousand cells, and then spend the next several days (or weeks) figuring out what's in there. I wanted to change that, at least for the specific problem I keep coming back to: understanding the immune landscape inside solid tumours. The result is TIL-Scope […]https://kemal.yaylali.uk/i-built-a-single-cell-rna-seq-pipeline-that-writes-its-own-report/
🤖 New DNA language model captures dynamic cross-strand interactions
CrossDNA, a recently developed language model, is outperforming larger DNA models in genomics tasks by explicitly modeling dynamic cross strand interactions. This breakthrough was announced on June 7, 2026, in a paper published in Nature Machine...
🤖 OpenAI shifts focus from cyber to bio defense with AI
OpenAI is now prioritizing AI powered biological resilience over AI powered cybersecurity. This shift in focus comes as the organization released an action plan for AI powered biological resilience on June 6, 2026. The plan marks a significant departure from...
https://www.synestesia.uk/legacy/openai-shifts-focus-from-cyber-to-bio-defense-with-ai-13cmqbis27
🤖 AI model reveals sleep-memory link
Researchers use Brainμ foundation model to show memory reactivation affects sleep dynamics. This development follows a series of advancements in AI models for complex data analysis, such as the release of uAI Nexus MedVLM, a large model for medical video understanding that demonstrated exceptional...
https://www.synestesia.uk/legacy/ai-model-reveals-sleep-memory-link-0mt6ih5n6a
#ComputationalBiology #DeepLearning #MedicalImaging #AIPulse
🤖 VLMs struggle to match human open-endedness in generative tasks
Frontier Vision Language Models (VLMs) produce qualitatively different outputs compared to human driven open ended search, with metrics indicating lower phylogenetic complexity and visual novelty. This finding comes from a recent study that...
🤖 NVIDIA's RTX PRO 4500 Blackwell cuts genomic data analysis time from hours to minutes
NVIDIA's RTX PRO 4500 Blackwell GPU has reduced processing times for key genomic data analysis tasks from hours to minutes, enabling faster clinical decision making. This breakthrough was made possible by the...
🤖 Bayesian model BAGEL reveals new insights into cell differentiation
Researchers are increasingly using Bayesian models like BAGEL to analyze single cell gene expression data and understand cell differentiation. This trend was highlighted on May 26, 2026, when researchers published a paper on BAGEL, a novel...
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