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Mana.bio's Latest Innovations in RNA Medicine

In a significant leap for biotechnology, Mana.bio has unveiled its groundbreaking advancements that combine artificial intelligence (AI) and nanotechnology for RNA medicine. At the recent American Society of Gene & Cell Therapy (ASGCT) Annual Meeting held in New Orleans, the company presented compelling data through three meticulous poster sessions that underscore their innovative approach to RNA therapies. These sessions took place between May 13 and 17, 2025, gathering attention within the scientific community and highlighting the potential for AI to revolutionize RNA medicine.

Mana.bio, a frontrunner in utilizing AI and machine learning (ML) for targeted RNA delivery, emphasizes its transformative potential in the field. According to co-founder and CEO, Yogev Debbi, the company is pioneering the design of lipid nanoparticles (LNPs) to deliver nucleic acid therapeutics efficiently. The data shared during the ASGCT presentations exemplified the company's capacity to swiftly optimize key parameters concerning LNP safety and specificity, addressing significant challenges in developing therapies that operate outside the liver.

The poster presentations included:

1. ML-Driven Design of Lipid Nanoparticles for In-Vivo T-Cell Delivery
- Poster Number: AMA1447
- Date: May 14, 2025
- Time: 5:30 PM - 7:00 PM CT
- Location: Poster Hall I2

2. Learn-Design-Make-Generate ML Platform for Developing Novel LNP Delivery Systems
- Final Poster Number: AMA1775
- Date: May 14, 2025
- Time: 5:30 PM - 7:00 PM CT
- Location: Poster Hall I2

3. Leveraging ML to Improve Potency and Safety of Lung-Targeted Lipid Nanoparticles
- Final Poster Number: AMA1773
- Date: May 15, 2025
- Time: 5:30 PM - 7:00 PM CT
- Location: Poster Hall I2

These presentations not only showcase Mana.bio's adherence to advancing biotechnological innovations but also indicate the significant influence of AI in enhancing the design and optimization of LNPs. By amalgamating extensive public datasets with data generated from laboratory experiments, the company has developed machine learning models capable of anticipating crucial attributes of LNPs. These attributes include physiochemical properties, targeted tissue specificity, and in-vivo safety, all of which are critical for the efficacy of RNA therapies aimed at conditions such as cancer, autoimmune diseases, and respiratory issues.

Moreover, Mana.bio's work is indicative of a paradigm shift in biotechnology, where machine learning emerges as a catalyst for accelerating research into genetic medicines. The swift advancements outlined in their posters illustrate the potential of optimized LNPs to enhance treatment efficacy and safety in patients. Following the ASGCT meeting, Mana.bio plans to make the posters available on its website, inviting further collaboration and dialogue within the scientific community.

The company's mission focuses on deepening the intersection between AI capabilities and biological insights to unravel the full promise of RNA therapies. As Mana.bio continues to push the boundaries of innovation, it stands poised at the forefront of a new era in biotechnology, where AI-driven solutions could lead to more effective treatments for some of today's most challenging health issues. For additional information regarding their groundbreaking initiatives and future developments, you can visit Mana.bio's official website.