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Synthetic biology is rapidly evolving due to the integration of artificial intelligence, machine learning, digitalization, automation, and computational biology. These technologies enable handling the vast datasets typical in this field and enhance the efficiency and precision of experiments through mechanization, freeing them from human limitations. Recent advances in digital biology have led to significant developments like comprehensive protein structure prediction, biological visualization through virtual reality, synchronized global robotic experiment protocols, and cloud-based laboratory management.
Despite these advancements, the field of digital biology faces challenges in standardization, practical implementation, fiscal aspects, and accuracy. However, these challenges also open up numerous opportunities for groundbreaking innovations and discoveries, marking an exciting phase in the development of synthetic biology.
Thank you to our sponsor Ganymede. Their Lab-as-Code technology powers data automation, saving scientists up to 20% of their time,
and providing rich data for compliance and AI/ML.
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AI & Digital Biology News & Insights:
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Digital Twins to Advance Biomanufacturing. Synthetic Biology and AI can significantly boost the bioeconomy by scaling up through the use of Digital Twins, which digitalize part of the traditionally expensive and challenging industrial microbiology process, thereby providing new avenues to advance
biomanufacturing.
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AI Predicts Genetic Editing Efficiency with Quantum Precision. Researchers demonstrated the power of AI in predicting CRISPR-Cas genome editing, unveiling molecular insights for safer and more reliable genetic manipulation.
How AI Is Transforming Synthetic Biology: Reaching Far Beyond Biopharma. Discover how synthetic biology is getting a high-tech upgrade with AI, potentially revolutionizing enzyme design, animal-free protein expression, precision fermentation, and beyond.
AI-Powered Breakthrough in Enzyme Therapy for Genetic Disorders. A new collaboration aims to improve the creation of safer and more effective therapeutics, including enzyme replacement therapy, for various genetic diseases.
Are American Pharmas Falling Behind on AI? Even as large language models, such as ChatGPT, augment our daily lives, another kind of revolution is occurring across human health.
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AI & Digital Biology Sessions at SynBioBeta 2024:
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Wolfram & Quake Live in San Jose: The AI + Bio Tour! This highly anticipated session will bridge computational theory, biophysics, and AI, highlighting the intersection where complex algorithms meet biological data. You can expect a fusion of perspectives, highlighting how interdisciplinary collaboration can drive innovation and solve some of the most challenging
problems in science today. Tuesday, May 7, 4:05-4:35pm.
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New Funding Models for Scientific Breakthroughs. Over the past couple of years, we've seen the emergence of deeptech-focused focused research organizations (FROs) which are pioneering new paths of innovation for self-driving labs (Future House), cloud labs (Align Bio), remove grant processes (Arc Institute), and the tree of life exploration (Arcadia Science). These organizations
encompass the best of both academia and industry and are tackling the field's meta-problems. Hear how these FROs are run similarly and differently and about their steps to the larger goals that will help all of science.
Decoding Genomic Frontiers: Learning the Code of Life with DNA Foundation Models. Much emphasis has been placed on protein design and protein folding advancements, but the field of DNA foundation models is equally interesting. The main benchmarks today are around regulatory elements and epigenetic profile prediction. However, it's hypothesized this field of research might eventually lead to the generation of entirely new organisms. We've brought a range of researchers and practitioners to talk about
this field and where it's going.
Revolutionizing Industrial Biotech: Harnessing the Power of AI for Enhanced Efficiency, Innovation, and Sustainable Solutions. AI/ML is infiltrating most parts of bio, including industrial biotech. Whether AI helps in product ID, product design, or process optimization, there are AI/ML solutions available. Engage with industry experts who are at the forefront of integrating AI technologies into the fabric of industrial biotech. Gain insights into real-world case studies, successful implementations, and
the potential of AI to address complex challenges, ultimately paving the way for sustainable and eco-friendly solutions.
The Arc of Innovation in Generative Protein Design. The promise of generative protein design extends beyond scientific and technological advancements, reaching into the realms of personalized medicine, global health, sustainability, and innovation. As research in this field progresses, it has the potential to reshape our approach to healthcare and biotechnology, offering solutions to challenges that were once considered insurmountable. Anything from enzyme generation to de novo binders to protein logic
gates, the promise of in silico structure and function has caught hold. This session will discuss the promise and nuances of advancement in the field.
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