drug manufacturing
drug manufacturing
Evotec’s Breakthrough: Expanding HIV Antibody Deal
📰 Evotec expands anti-HIV antibody deal with ABL to develop and manufacture neutralizing antibodies against HIV. Just-Evotec Biologics to develop third antibody and provide manufacturing services for Phase I clinical study. Partnership aims to deliver new HIV therapies. 💉🌍
Regulatory Spotlight on Cleaning Validation in Biotech
📢 Cleaning validation is receiving increased attention from regulatory agencies in the biotechnology industry. 🧪🔬🏭🔍💼🔒
Revolutionary Kyverna Cuts CAR-T Production to 3 Days
📰 CAR-T, a gamechanger in cancer treatment, could revolutionize patient access and save lives with Kyverna's 3-day process. 💉🔬
Boosting Manufacturing Efficiency: AI’s Role in Cutting Costs and Enhancing Therapies
🧪 AI accelerates commercialization strategies by cutting costs and improving processes in advanced therapy manufacturing. 🔬 5 of batches fail, impacting health and revenues. 🧠 AI is crucial for complex therapies. 💰 Manufacturers need to optimize processes and reduce costs. 🌐 AI enables learning transfer and supports decision-making. 📈 Industry 4.0 will use machine learning for real-time predictions and support.
Sleep Tech Startup Onera Health Raises $32M in Funding
📢 Sleep diagnostics specialist Onera Health raises €30m ($32m) in Series C round, accelerating manufacturing and expanding devices. 💤💰
Massive Growth in UK ADC Facility Boosts Biopharmaceutical Industry
📰 CDMO Piramal bulks out UK ADC facility! 💊🧪 Enhanced capabilities to meet growing demand in biopharmaceutical industry. 🌍👥
Moderna’s $900m Investment for Global Biotech Growth
💰 Moderna plans to invest $900m in capital expenditures in 2024 to support growth ambitions in biotechnology. 🔬🌍⚙️💉
Boost Efficiency and Speed with AI Automation
🤖 Automation in process development can improve efficiency and speed up the optimization of processes. Currently, automation is not widely used in the process development lab, but it has been successful in drug discovery and production plants. 🔬 Automation combined with digitalization can provide better data management and insights into bioprocesses. 👥 Collaboration with technology suppliers and a solid data infrastructure are essential for successful automation projects. 🤔 Challenges include the lack of regulatory standards for the development and deployment of AI in medical use cases. 👨🔬 AI has potential applications in process development, such as cell therapy manufacturing and production scheduling. 📚 AI is already used to process lab images and make process decisions. 💡 Automation and AI can greatly benefit process development and lead to more efficient drug manufacturing.
