Radiology reimagined: Bayer and Google see AI as a win for practitioners and patients

AI is set to continue making inroads in radiology in the coming years, according to two executives from Bayer and Google.

In an interview at Google Cloud Next, Bayer’s Guido Mathews and Google Cloud’s Shweta Maniar highlighted the transformative influence of the technology on the radiologist’s workflow, the increasing integration of AI into radiological education, and its potential to mitigate burnout and reduce error rates.

Bayer offers contrast agents and injectors for major radiology modalities, including CT, MRI, an angiography.

In addition to focusing on radiology, Bayer Pharmaceuticals is using generative AI models like Google Cloud’s Vertex AI and Med-PaLM 2 to streamline drug development. Bayer is also using Google’s high-performance computing resources for quantum chemistry calculations.

AI’s radiological reboot

In 2016, deep learning pioneer Geoffrey Hinton predicted that AI systems would outperform radiologists by 2021…

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Ginkgo Bioworks and Google Cloud forge five-year AI and biology partnership

Ginkgo Bioworks’ pioneering capabilities in harnessing vast biological data. [Image courtesy of Ginkgo Bioworks]

Founded in 2008, Ginkgo Bioworks’ stock jumped almost 25% on August 29, hitting $2.22, after unveiling a five-year partnership with Google Cloud. The partnership centers around the development of novel AI tools for biology and biosecurity. In particular, Ginkgo hopes to further its mission to make biology easier to engineer in the AI era.

Opting to make Google Cloud its primary cloud services provider, Ginkgo plans to develop new large language models for biological engineering applications based on Google’s Vertex AI platform. Debuting in 2021 as a framework for streamlining the machine learning lifecycle, Vertex AI has since evolved to incorporate more generative AI capabilities.

Further solidifying the partnership, Google Cloud will also help fund Ginkgo’s development of foundation mod…

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Google Cloud partners with Mayo Clinic on generative AI

Google Cloud and Mayo Clinic will team up on generative AI for healthcare, the two organizations said today.

They intend to develop new capabilities for healthcare organizations to increase productivity, automate repetitive tasks and make administrative processes more efficient. Mayo Clinic and Google Cloud said they are also working with several unidentified healthcare organizations through this partnership.

Previously: The cloud is transforming medtech: Amazon, Microsoft, Google, J&J, Philips and GE Healthcare leaders explain

Mayo Clinic is already using Google Cloud’s Enterprise Search in Gen App Builder and looking for ways that search and generative AI can retrieve information more efficiently and effectively from healthcare records, research papers and clinical guidelines across a variety of formats and locations.

“Our prioritization of patient safety, privacy, and ethical considerations, means that generative AI can have a s…

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Making biomedical data computable

Vik Nagjee is the vice president of product at nference [Photo courtesy of nference]

Cloud computing can power quantum leaps in human health.

Vik Nagjee, nference

A state-of-the art platform that supports real world evidence (RWE) and health economics and outcomes research can enable breakthroughs at an unprecedented scale.

This is achieved by making the de-identified, transformed information contained within the electronic medical record (EMR) available for data science and analysis at the aggregate and patient level. Add multi-modal data sources such as imaging and electrocardiograms as well as novel data assets like digital pathology and omics data to enrich the EMR data to provide a truly longitudinal view of the patient, and you have the beginnings of a world-class platform.

The keys are privacy preservation, harnessing longitudinal data, data enrichment and a data science platform.

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Google unveils AI-powered Care Studio Conditions to make sense of patient records

Google Health’s new Care Studio feature, Conditions [Screenshot courtesy of Google]

Google Health previewed a new Care Studio feature called Conditions to make electronic health records more accessible and useful for clinicians treating patients.

Powered by artificial intelligence, Conditions can interpret and organize clinical notes stored across different systems for different purposes by different health care professionals.

‘When it comes to writing notes, clinicians use different abbreviations or acronyms depending on their personal preference, what health system they’re a part of, their region and other factors.” Paul Muret VP and GM of Google Health’s Care Studio, wrote yesterday in a blog post. “All of this has made it difficult to synthesize clinical data — until now.”

Conditions uses natural language processing to understand the notes, rank conditions b…

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