Prompt Engineering for Protein Sequences

A protein-based AI language model has been used to create fluorescent proteins. The model by Ex-Meta scientists at EvolutionaryScale can create proteins based on specifications provided by users - think of it as giving ChatGPT prompts to create protein sequences. There are many potential applications using this model: drug/vaccine development, diagnostics, sustainability – plastic-eating enzymes, and food/beverage – lab-grown meats, lab-grown dairy, etc. Paper: bioRxiv

Gen AI Improves Clinical Trial Matching

A study by researchers at Mass General Brigham and Harvard Medical School found a GPT-4 system (the technology behind ChatGPT) can improve the accuracy, efficiency, and reliability of screening for a trial involving patients with symptomatic heart failure. The system looks through unstructured sections of medical records to identify patients who have met the eligibility criteria of the trial. NEJM AI

Gen AI-Powered Hardware Platform for Drug Discovery

Insilico Medicine released an AI-powered hardware platform - PandaOmics Box - for on-premise drug discovery and personalized medicine research. PandaOmics Box is powered by Insilico’s generative biology AI software. The platform also comes with ChatPandaGPT - which allows researchers to engage with Insilico Medicine's knowledge graph database via intuitive, natural language conversations. Insilico Medicine

Insilico Medicine also launched a scientific writing tool - DORA which is powered by Generative AI.

1. Flagship Pioneering raises $3.6 billion to support the creation of 25 startup companies in artificial intelligence, human health, and sustainability. According to the Flagship Pioneering CEO, these companies will leverage the power of Gen AI to transform drug discovery, speed up the drug development process, and gain new insights into human health and sustainability. Flagship Pioneering

2. Gen AI news has been dominated by partnerships and collaborations between big tech companies with biotech, pharma, and healthcare companies. Big tech will bring their Generative AI technologies to the table while the other companies will contribute domain expertise and data to innovate solutions:

   • Amazon and GE partner to use Gen AI to deliver better patient care. Amazon 

   • Microsoft and Indegene collaborate to empower life sciences companies to scale up the adoption of tailored enterprise-grade Generative AI solutions. Indegene

   • Google and Humana expand partnership to use Gen AI to improve the well-being of the insurer’s members and transform the delivery of healthcare. Humana

   • Microsoft to collaborate with Mass General Brigham and the University of Wisconsin School of Medicine and Public Health along with its partnering health system, UW Health, to accelerate advances of Gen AI in medical imaging to drive clinician efficiency and enable better health outcomes. Microsoft

   • Cognizant and Yseop partner to help accelerate and scale the delivery of scientific content (via medical writing) in the biopharma industry through Generative AI. Yseop 

Sign up here for The GenAI Biotech Report: Your monthly update of Generative AI applications in Biotech, Pharma, and Life Sciences