Automation and digitalization

Automation and digitalization

featured image of Revolutionary AI Platform Speeds Up Cancer Trials

Revolutionary AI Platform Speeds Up Cancer Trials

BIOT

🚀 Paris-based start-up Klineo raises €2m to revolutionize cancer trials, connecting doctors and patients in minutes. 💪🏼🌍

featured image of Revolutionize Genomics Workflows with Automated Firefly

Revolutionize Genomics Workflows with Automated Firefly

BIOT

📢 Firefly from SPT Labtech automates NGS sample and library prep, improving genomics workflows. 👨‍🔬 Manual pipetting is time-consuming and prone to errors, while automation increases efficiency and data accuracy. 🤖 Firefly's compact design saves lab space and offers versatile liquid handling capabilities. 💪 Automating on firefly allows for high-quality libraries in just 2 hours. 🔬 SLAS 2024 introduced firefly+, maximizing walkaway time with a hands-free NGS library prep workflow. 👉 Learn more at [Link]

featured image of Cytiva's Xcellerex Magnetic Mixer: Transforming Large-Scale Manufacturing

Cytiva’s Xcellerex Magnetic Mixer: Transforming Large-Scale Manufacturing

BIOT

📢 Cytiva introduces its Xcellerex magnetic mixer at Interphex! Designed to address challenges in large-scale manufacturing processes. 🔬

featured image of Merck Revolutionizes Biosafety Testing with Game-Changing Genetic Stability Assay

Merck Revolutionizes Biosafety Testing with Game-Changing Genetic Stability Assay

BIOT

Merck introduces a game-changing genetic stability assay for biosafety testing, simplifying and reducing time and costs. 🧬💼

featured image of Unlocking the Power of Industrial IoT in Bioprocessing

Unlocking the Power of Industrial IoT in Bioprocessing

BIOT

📰 The Industrial Internet of Things (IIoT) is revolutionizing bioprocessing, offering better control and streamlined regulatory submissions. 💪💰

featured image of Biopharma's Data Science Skills Gap: The Key to Unlocking Digital Transformation

Biopharma’s Data Science Skills Gap: The Key to Unlocking Digital Transformation

BIOT

📰 Biopharma's digital transition has revealed a skills gap in data science, particularly in areas like integration, analysis, statistical modeling, and machine learning. 🔍⚙️💡🔧👉

featured image of Robots and AI Revolutionize Cell and Gene Therapy Manufacturing!

Robots and AI Revolutionize Cell and Gene Therapy Manufacturing!

BIOT

🤖🔬 Researchers suggest that robots and AI can address manufacturing challenges in cell and gene therapy. ⬆️🌍 The industry is growing rapidly, requiring skilled personnel and increased production. 🤖🔬 Automation and AI can improve efficiency and reduce costs.

featured image of Boosting Lyophilization Productivity by 300: A Game-Changing Digital Twin Approach

Boosting Lyophilization Productivity by 300: A Game-Changing Digital Twin Approach

BIOT

📰 Researchers at Clausthal University of Technology in Germany have found that using a digital twin approach during the freeze-drying process for biologics can increase productivity by up to 300 🚀💰. This approach also reduces costs by 74 💵 and lowers the global warming potential by 64 🌍. Lyophilization DigitalTwin

featured image of Boost Quality and Cut Costs with Digital Bioprocessing

Boost Quality and Cut Costs with Digital Bioprocessing

BIOT

📢 Struggling with QbD? Consider Digital Technology! 💡 Improve product quality, reduce costs, and simplify process development with digital bioprocessing technologies. 💰🌍🔬🚀👥

featured image of Pharma Giants Revamp Data Management for Advanced Analytics

Pharma Giants Revamp Data Management for Advanced Analytics

BIOT

📚 Large pharmaceutical companies are embracing structured and centralized data management for bioprocess development. 🔬 These companies are focusing on systems that capture and store data generated by high-throughput analytics and automation. 🌐 The goal is to simplify data analysis and make it easier to apply analytical tools like machine learning. ⚙️ Genedata has designed a structured data management system that allows for standardized data collection and automated analysis. 🧪 This system can handle complex data from various workflows, including gene and cell therapies, antibodies, and next generation sequencing. 💡 Innovation is happening in the field of AI and analytical instruments to enable better data processing and analysis in the pharmaceutical industry.