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Large Language Models for Personalised Interventions in Cancer
Digital tools, including smartphone apps and conversational agents, hold great promise for enhancing cancer supportive care. These apps can measure patients' symptoms, offering personalized advice on supportive care interventions (e.g., physiotherapy, psychologist, nutritionist) and improving access to such services for cancer patients. Despite the effectiveness of digital health interventions, there is currently a gap in automatic conversational agents that assess symptoms and provide advice on supportive care treatment for cancer patients. This project aims to evaluate the potential of Large Language Models in creating a conversational agent capable of assessing symptoms in cancer patients and offering personalized advice on cancer supportive care.
Keywords: Large Language Models, Machine Learning, Data Science, Health, Personalized Medicine
Are you intrigued by the blend of technology and healthcare? Join our team to explore the exciting world of Large Language Models (LLMs) and conversational agents in digital health apps.
Tasks include:
Researching how LLMs and conversational agents are transforming healthcare.
Training LLMs from a breast cancer dataset.
Testing LLMs' capability in advising on patient supportive care.
No matter your background, if you're passionate about healthcare and data science/machine learning, this project offers a unique chance to make an impact in cancer digital health applications!
Are you intrigued by the blend of technology and healthcare? Join our team to explore the exciting world of Large Language Models (LLMs) and conversational agents in digital health apps.
Tasks include: Researching how LLMs and conversational agents are transforming healthcare. Training LLMs from a breast cancer dataset. Testing LLMs' capability in advising on patient supportive care.
No matter your background, if you're passionate about healthcare and data science/machine learning, this project offers a unique chance to make an impact in cancer digital health applications!
Not specified
Dr. Sonia Difrancesco, sonia.difrancesco@uzh.ch
Please send your CV or contact Sonia if you have any questions.
Dr. Sonia Difrancesco, sonia.difrancesco@uzh.ch Please send your CV or contact Sonia if you have any questions.