Advancing Laboratory Workflows through Automated Liquid Handling

	The Digital Laboratory
	The latest lab automation and artificial intelligence news from AZoNetwork

The realm of scientific research and diagnostics is constantly changing, and laboratories are under ever-increasing pressure to improve efficiency and throughput, reduce costs, and deliver high quality results. INTEGRA’s wide range of electronic and automated liquid handling solutions opens the doors to streamlined scientific protocols, allowing you to stay at the forefront of innovation through effective automation and integration.

Stay Ahead with Automated Liquid Handling

			How to Future-Proof Your R&D Strategy with AI Labs Discover how AI labs are reshaping R&D by integrating machine learning, robotics, and smart data systems to accelerate discovery, reduce costs, and future-proof innovation strategies.

			Why Drug Discovery Needs Robots and Artificial Intelligence Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid, data-driven breakthroughs. This hybrid approach is cutting costs, accelerating timelines, and shaping a new era of precision medicine.

	Trilobio raises $8 M to deliver whole lab automation for biologists Trilobio, the Company building the fully automated robotic lab-in-a-box for biologists, today announced it has raised $8 million USD Seed investment.

	Building the AI Lab: A Guide for Research Institutions Discover how to design, implement, and maintain AI labs. This guide covers readiness assessments, infrastructure, implementation strategies, and the challenges and benefits of AI integration in academic settings.

	Who Owns Your Medical Data? The evolving landscape of medical data highlights ownership, privacy concerns, and the need for ethical frameworks in healthcare and digital health.

	AI Predicts Kidney Cancer Drug Response Using Routine Pathology Slides Researchers at UT Southwestern developed an AI model that uses histopathological slide images to predict which kidney cancer patients will benefit from anti-angiogenic therapy. This deep learning model rivals the accuracy of genetic tests like Angioscore but is more accessible and interpretable.

	Dr. Jeremy Poschmann’s data-driven approach to immune profiling and translational science Dr. Jeremy Poschmann discusses data-driven approaches in genomics, revealing how immune profiling can predict disease risk and improve patient outcomes.

	Proficient Health Launches AI Tool to Streamline Patient Data Management Proficient Health, a leading provider of secure referral management and provider communication tools, today announced the launch of its latest innovation: Automated Document Processing (ADP).

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