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Microsoft and consortium of healthcare leaders announces formation of TRAIN: Trustworthy & Responsible AI Network

Lloyd Price

Exec Summary: The Trustworthy & Responsible AI Network (TRAIN) is a brand new initiative launched March 2024 focused on ensuring AI is used ethically and effectively within healthcare. It's a collaborative effort between leading healthcare organisations and Microsoft.

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Taker-Shaper-Maker model and Future of Generative AI in Healthcare

Lloyd Price

This can be used to train medical imaging algorithms and reduce the need for real-world patient data. By using this technology in innovative ways, healthcare organisations can improve patient care, reduce costs, and accelerate the development of new treatments. Visit www.nelsonadvisors.co.uk Visit www.nelsonadvisors.co.uk

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Ellison Institute of Technology campus in Oxford to focus on HealthTech as one of 4 key areas of technological innovation

Lloyd Price

Dedicated Facilities: The new EIT Oxford campus includes over 30,000 square meters of research laboratory space, an oncology and wellness clinic, and facilities like AI GPU Supercluster Lab, Drug Design Lab, and Medical Device Lab, specifically dedicated to healthcare technology advancements. Visit www.nelsonadvisors.co.uk

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Komodo Health Appoints Vikas Mehta as Chief Financial Officer; Names Sarah Shin as Chief People Officer

Digital Health Global

The market potential for healthcare technology is massive and the biggest winners will be organizations that can help their customers operationalize data, insights, analytics and dramatically reshape their productivity,” said Mehta.

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Personal Health LLM's to emerge in HealthTech 2024?

Lloyd Price

Exec Summary: Personal health large language models (LLMs) are an exciting new area in healthcare that uses AI to provide users with personalised guidance and support. LLMs are essentially AI models trained on massive amounts of health data and text. What can Personal health LLMs do?

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Is Mental Health ready for Generative AI?

Lloyd Price

There are a number of challenges that need to be addressed before generative AI can be used effectively in this field, including: Safety and ethics: Generative AI models can be trained on large datasets of text and code, which may include sensitive or harmful information.

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The intersection of LLMs, EHRs and SDoH

Lloyd Price

Bias and fairness: LLMs trained on biased data can perpetuate health inequalities. Corporate Development for Healthcare Technology companies in EMEA Healthcare Technology Thought Leadership from Nelson Advisors – Market Insights, Analysis & Predictions.

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