4. Co-scientific ai
Research is at the heart of our work, whether it is additional updates that rely on years of progress, or revolutionary developments that modify the industry and the functioning of our partners. To help biomedical researchers create new hypotheses and research plans, We recently launched an AI co-scientistA new system built on Gemini 2.0. The AI co-scientist helps researchers analyze large volumes of scientific literature and generate new high-quality hypotheses. For example, let’s say that researchers want to better understand the spread of a microbe that causes a disease. They can specify this research objective using natural language, and the co-scientific of AI will offer testable hypotheses, including a summary of relevant published literature and a possible experimental approach.
Although it is not intended to automate the scientific process, this collaboration tool is designed to help experts discover new ideas and accelerate their work. We are already working with partners, including Imperial College London, Houston Methodist and Stanford University, and want to see how researchers from around the world use this tool. And although it is at its beginnings, the enthusiasm is clear – we have received considerable interest in our next trusted tester program.
5. TXGEMMA
The development of concept therapeutic drugs with approved use is A long and expensive processWe therefore work with the wider research community to find new ways to make this development more effective.
Today we have announced TXGEMMA, a collection of Gem-The open models based on a basis which, we hope, will help improve the effectiveness of the discovery of drugs powered by AI. TXGEMMA is capable of understanding the regular text and structures of different therapeutic entities, such as small molecules, chemicals and proteins. This means that researchers can ask TXGEMMA questions to help predict the important properties of potential new therapies, such as safety or efficiency.
Later this month, we will make this available to the community to build and improve Foundations of health AI developers.
6. Treatment options for pediatric oncology
With the help of Google, Princess Máxima Center for Pediatric Oncology in the Netherlands develops an AI tool called Capricorn. He uses gemini models to help doctors accelerate the identification of personalized cancer treatments by combining large public medical data and data on disinterested patients.
Based on its analysis, Capricorn quickly generates summaries of relevant treatment and medical publication options, which allows doctors to have more in -depth discussions on how to obtain the best possible health results for their pediatric patients. With AI, doctors have more time to devote what is most important: patient care.