The Digital Laboratory - From AI Tools to Agentic Labs
View as a Web Page
News Medical
 
  The Digital Laboratory The Digital Laboratory logo  
  The latest lab automation and artificial intelligence news from AZoNetwork  
 

Discover Precision Microdispensing for Advanced Laboratory WorkflowsDiscover Precision Microdispensing for Advanced Laboratory Workflows

Precision liquid handling is essential for today's automated laboratories. Discover how tailored microdispensing technologies are enabling accurate, reliable dispensing across advanced research and industrial applications. Explore key techniques, system considerations, and practical insights that can help improve reproducibility, efficiency, and performance in modern laboratory workflows.

Watch The Webinar
 
 
    From AI Tools to Agentic LabsFrom AI Tools to Agentic Labs
 
Discover how Agentic AI is transforming laboratories with autonomous Digital Scientists that reason, initiate workflows, and execute tasks. Learn how LabVantage CORTEX™ unifies data, enables closed-loop automation, and helps researchers shift from manual oversight to intelligent, goal-driven scientific operations.
Download the Whitepaper
 
 
   Researchers use AI to design functional bacteriophage genomes from scratchResearchers use AI to design functional bacteriophage genomes from scratch
 
Using AI, researchers have designed complete, functional bacteriophage genomes from scratch and tested them against bacteria that had evolved resistance to a natural bacteriophage.
 
 Scientists map protective cell networks hiding dormant breast tumor cells
 
Scientists map protective cell networks hiding dormant breast tumor cellsResearchers at the MRC Laboratory of Medical Sciences (LMS), Imperial College London and UCL Genetics Institute have created a detailed map of cells within breast tumors and identified distinct neighborhoods of proliferating and dormant cells.
 
 
 Using DNA sequencing for accurate identification of microbial infections in cystic fibrosis patients
 
Using DNA sequencing for accurate identification of microbial infections in cystic fibrosis patientsLung infections are a constant risk for people living with cystic fibrosis (CF), a life-threatening genetic disorder which impairs lung function, predisposes people to persistent airway infections and exposes them to acquiring multidrug resistant infections.
 
 
 Advancing Drug Safety Assessment With AI, Predictive Modeling, and Human-Relevant Data
 
Advancing Drug Safety Assessment With AI, Predictive Modeling, and Human-Relevant DataJames McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing toxicology and decision-making processes.
 
 
 New AI tool predicts bowel cancer relapse risk from routine slides
 
New AI tool predicts bowel cancer relapse risk from routine slidesA new artificial intelligence (AI) tool developed by La Trobe University researchers could help predict which stage-two bowel cancer patients are at risk of relapse, in an advance that could ultimately lead to thousands getting life-saving treatment earlier.
 
 
 Machine learning uses gene neighborhoods to identify harmful poultry bacteria
 
Machine learning uses gene neighborhoods to identify harmful poultry bacteriaWhen it comes to identifying harmful bacteria, it helps to look at the company their genes keep.
 
 
 Fibrinogen Discovery Reshapes Our Understanding of How Wounds Heal
 
Fibrinogen Discovery Reshapes Our Understanding of How Wounds HealScientists have redefined how the key blood‑clotting protein fibrinogen behaves when it contacts air, overturning two decades of scientific consensus on wound healing.
 
 
 AI Genomes Create Synthetic Bacteriophages to Conquer Drug Resistant Superbugs
 
AI Genomes Create Synthetic Bacteriophages to Conquer Drug Resistant SuperbugsUsing AI, researchers have designed complete, functional bacteriophage genomes from scratch and tested them against bacteria that had evolved resistance to a natural bacteriophage.
 
 
 New Transcriptomic Framework Identifies Early Cell Damage Before Organ Failure
 
New Transcriptomic Framework Identifies Early Cell Damage Before Organ FailureResearchers at the University of Cologne, University Hospital Cologne, and the Max Planck Institute for Metabolism Research have developed a method that, for the first time, enables damage to individual cells to be precisely quantified.
 
 

How would you rate today's newsletter?

 
             
 
 
Google News Icon Stay updated with the latest in health and medical news! Follow News‑Medical.net on Google News for real‑time updates. Click here to follow us now.
 
Facebook X Instagram LinkedIn Vimeo
Why did you receive this email?
You are receiving this email because you subscribed to updates from AZoNetwork UK Ltd. on one of our websites and requested to be notified of additional information.

Unsubscribe or Update Notification Preferences

Contact | About | Privacy Policy

- - - - - -

Registered Address:
AZoNetwork UK Ltd., NEO, 9 Charlotte St, Manchester, M1 4ET, UK

Manchester | Sydney | Boston

Copyright © 2000-2026