III: AI Drug Discovery Innovation
III: AI Drug Discovery Innovation
Revolutionizing Drug Development: Tag.bio, IridescentBio, Leash Bio, Aganitha and Dotmatics
For the first and second part of this newsletter:
Sounds emitted by plants under stress are airborne and informative
Researchers have found that stressed plants emit airborne sounds that can be recorded from a distance and classified.
ML models developed have succeeded in identifying the condition of the plants, including dehydration level and injury, based solely on these emitted sounds.
These informative sounds may also be detectable by other organisms.
For more: Cell.
🏓 Tag.bio: a data science platform
Tag.bio is a self-service platform that facilitates embedding (prompt templates, RAGs, fine-tuning) of proprietary biomedical data with the Generative AI/LLM of your choice—Mistral AI, OpenAI, Amazon Bedrock, LLaMA2, etc—within a secure cloud infrastructure. Tag.bio's data science platform can also help with the entire drug development process, including compound design, target identification, toxicity prediction, R&D, personalized medicine, clinical trials, real-world evidence and many more.
In particular, users of the Tag.bio data science platform can discover, share and unite diverse siloed data sets and execute workloads using a no-code/low-code data mesh framework. The platform—available in AWS and Azure Marketplaces—combines data sets, smart APIs, statistical and ML algorithms into data products (application layer) for users to discover insights via Apps, Generative AI Agents and prompts (Watch their latest talk). The Tag.bio Enterprise AI is an all-encompassing solution that simplifies the AI lifecycle by offering a unified platform for building, deploying, and managing Predictive & Generative AI projects. The platform seamlessly integrates data sets, smart APIs and advanced statistical and ML algorithms into data products enabling users to uncover valuable insights through user-friendly Apps and/or Generative AI prompts. The platform comes with:
Containerized Private Model Registries,
Developer Studio,
AL/ML Frameworks: SciKit Learn, TensorFlow, PyTorch, MxNet, BYOA, and
Integration with Cloud ML Platforms including Amazon SageMaker, Azure ML and Google Vertex AI.
Co-founded by Tom Covington and Jesse Paquette Tag.bio is backed by Merus Capital, newfund, Alchemist Accelerator, DREAMIT, Startx,AWS Activate Funds, Google for Startups and Microsoft for Startups And Microsoft for AI Startups, and so far had the following collaborations:
On November 29, 2022, the Parkinson’s Foundation—one of the world’s leading organizations making life better for people with Parkinson’s disease (PD)—and Tag.bio announced a partnership that will help accelerate research into the causes and treatment of PD.
In 2023, L7 and Tag.bio teamed up to accelerate digital transformation. L7 Informatics, Inc. is a leading provider of integrated scientific data and analytics solutions, offering a comprehensive platform that enables seamless data integration, advanced analytics and collaborative workflows, empowering scientists and researchers to accelerate discoveries, improve operational efficiencies, and drive innovation.
On April 17, 2023, Tag.bio announced a new partnership with SimpleTherapy—an innovative provider of integrated, omnichannel care for Musculoskeletal and behavioral health services—to improve the accuracy of patient diagnoses, the effectiveness of treatments, and reduce the overall healthcare costs by combining their expertise in data analytics and personalized healthcare.
The Director of Business Development at Tag.Bio is Mark Pitman, who is also founder at BioCogito a company helping bioinformatics and bio-software companies grow. BioCogito was founded by Mark in 2008 and so far has helped more than 20 companies reach success in selling their products and services, like Proteome Software, GeneBio, Omixon, SciNote, OmicX, Biotasks, NovelSoft and Tag.bio. Many of these companies went from zero in revenue to multiple millions of dollars in just a few years. A short list of recognizable clients includes: Mayo, BMS, UTMB, UBC, Stanford, Genentech, Amgen, GSK, Scripps, Johns Hopkins, MD Anderson, Merck and many more.