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Google AI, in collaboration with Google DeepMind, has introduced Tx-LLM, a new large language model fine-tuned from PaLM-2, designed to predict properties of entities relevant to therapeutic development. This model leverages data from 66 drug discovery tasks and has shown to outperform or match specialist models on 65% of these tasks. According to a press release, Tx-LLM is capable of predicting properties for tasks ranging from early-stage target identification to late-stage clinical trial approval. The model aims to streamline the drug development process, which is often time-consuming and complex, with accuracy comparable to state-of-the-art specialty models.
Google AI Introduces Tx-LLM: A Large Language Model (LLM) Fine-Tuned from PaLM-2 to Predict Properties of Many Entities that are Relevant to Therapeutic Development https://t.co/l0qyItnc0O #AIinTherapeutics #DrugDiscovery #MachineLearning #TxLLM #HealthcareInnovation #ai #new… https://t.co/MTkvqDFg8p
Google AI Introduce Tx-LLM: A Large Language Model (LLM) Fine-Tuned from PaLM-2 to Predict Properties of Many Entities that are Relevant to Therapeutic Development Researchers from Google Research and Google DeepMind introduced Tx-LLM, a generalist large language model… https://t.co/aixs8xIvwY
Tx-LLM (now has a new @GoogleHealth press release) is a language model fine-tuned to predict properties of biological entities throughout the therapeutic development pipeline, leveraging data from 66 drug discovery tasks. It outperforms or matches specialist models on 65% of… https://t.co/oDkgNaXlzF
