An Amazon cloud conversation with AWS Chief Medical Officer Taha Kass-Hout

Taha Kass-Hout is the chief medical officer and director of machine learning at Amazon Web Services [Photo courtesy of Amazon]

It doesn’t get any bigger than Amazon in the world of cloud computing.

The Amazon Web Services cloud computing business at Seattle-based Amazon.com (Nasdaq: AMZN) is the largest player in the industry, with control of about a third of the market and a significant lead over cloud competitors Microsoft and Google.

Taha Kass-Hout, the chief medical officer and director of machine learning at AWS, spoke with Medical Design & Outsourcing as part of an ongoing series of conversations about cloud computing’s contributions to medtech and the potential ahead.

“The future is bright for anyone who’s trying to solve problems in healthcare and life science globally,” he said.

This conversation has been edited for clarity and length.

MDO: What d…

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How federated learning can enable faster, more accurate pharmaceutical-grade AI

Image via www.vpnsrus.com

It’s been said that data is the new oil, something pharma researchers understand well. The phrase hits especially close to home for artificial intelligence (AI) researchers who work heavily with medical images. Medical imaging is a powerful diagnostic tool in the drug development process, as it can provide the efficacy and safety monitoring required in clinical trials for regulatory submission. And notably, medical images provide valuable insights into the drug mechanism of action and effects that can guide researchers during their design process.

Machine learning and AI researchers can leverage this rich medical imaging data to dramatically accelerate the drug discovery process. However, to realize this potential, AI models must be exposed to vast amounts of training data. Acquiring and curating imaging data in the volumes necessary to build accurate, non-biased models is a challen…

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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.

P…
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GE Healthcare to roll out AI-powered Edison Digital Health Platform

GE Healthcare (NYSE:GE) today announced plans for its Edison Digital Health Platform.

The news was part of HIMSS 2022 in Orlando, Florida, where GE Healthcare officials described Edison as a vendor-agnostic hosting and data aggregation platform with an integrated AI engine.

The Edison Digital Health Platform could enable health providers to effectively deploy clinical, workflow, analytics and AI tools, according to GE. The platform accelerates app integration by connecting devices and other data sources into an aggregated clinical data layer.

Get the full story on our sister site Medical Design & Outsourcing. 

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GE Healthcare to roll out AI-powered Edison Digital Health Platform

GE Healthcare (NYSE:GE) today announced plans for its Edison Digital Health Platform.

The news was part of HIMSS 2022 in Orlando, Florida, where GE Healthcare officials described Edison as a vendor-agnostic hosting and data aggregation platform with an integrated AI engine.

The Edison Digital Health Platform could enable health providers to effectively deploy clinical, workflow, analytics and AI tools, according to GE. The platform accelerates app integration by connecting devices and other data sources into an aggregated clinical data layer.

Open and published interfaces on Edison will support the easy deployment of healthcare providers and third-party developers’ applications into existing workflows. In addition, GE Healthcare plans to integrate and deploy its own apps such as Command Center “tiles” onto the Edison Digital Health Platform.

“Edison Digital Health Platform is being designed to enable healthcare systems to have a single platf…

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Zimmer Biomet debuts AI to predict post-operative recovery

When used over an iPhone, WalkAI can notify health professionals about predicted outcomes through the MyMobility clinician dashboard. [Image courtesy of ZB. Patients are fictitious.]Zimmer Biomet (NYSE and SIX: ZBH) today launched WalkAI, artificial intelligence that can predict which patients will have lower gait speed 90 days after hip or knee surgery.

WalkAI is part of ZBEdge, Zimmer Biomet’s suite of integrated smart, digital and robotic technologies to boost patient outcomes after orthopedic surgeries.

The proprietary algorithm behind WalkAI analyzes a person’s mobility to generate a personalized daily prediction of their gait (walking) speed at 90 days after surgery. The daily predictions draw on extensive, anonymized, real-world data in the ZBEdge database.

“WalkAI is built from our wealth of anonymized ZBEdge data and is the first model to demonstrate our unique capability to deliver actionable predictions by connecting real-world …

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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.”

Get the full story at our sister site, Medical Design & Outsourcing.

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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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FDA clears Pearl’s AI for dental X-rays

Second Opinion can help dentists accurately identify a broad range of common dental conditions in patient X-rays, according to Pearl. [Image courtesy of Pearl]Pearl (Los Angeles) announced today that FDA has cleared its AI-powered, real-time pathology detection software Second Opinion.

The system can help dentists accurately identify a broad range of common dental conditions in patient X-rays, according to Pearl. Second Opinion applies computer vision to identify and highlight key pathologic and nonpathologic findings.

Displays are displayed immediately. Dentists get sharper vision, and patients better understand their dentists’ findings.

Because X-rays are a regular part of every dental patient’s experience, the first place most people will encounter the power of medical AI technology will be in their dentist’s chair. Second Opinion’s FDA clearance has made that possible,” said Pearl CEO Ophir Tanz.

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Why Big Pharma is partnering with startups as it becomes more data-driven

Image courtesy of Pexels

Big Pharma’s ability to innovate has grown in recent years, and the industry’s increasing reliance on data could help it sustain momentum in the future.

While McKinsey notes that the industry has been relatively slow in adopting technologies such as AI and automation, the industry is growing more tech-savvy.

“The acceptance of data is picking up across the industry,” said David Harel, co-founder and president of CytoReason, an Israeli startup working with six of the top ten pharma companies.

At the same time, pharmaceutical research is headed in a much more collaborative direction where partnership and licensing are common, said Ed White, chief analyst and VP of IP and innovation research at Clarivate.

The pharma industry has traditionally had a large amount of data to tap in drug discovery and development, but the volume of data in the fi…

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Digital transformation will give scientists their time back and speed the development pipeline

Image courtesy of IDBS

The pandemic exposed the innovation divide between the digitally transformed and those that lagged. Strict regulation made life sciences and bio/pharma organizations hesitant to modernize too quickly away from proven legacy methods and technologies, resulting in varying levels of digital transformation. But since the pandemic, organizations now recognize the necessity of digitalization and smart automation to accelerate research and drug development.

Freeing up and transforming researchers’ time

Companies that haven’t embraced the digital revolution, including digital (process) automation, tend to burden scientists with repetitive, manual work — like pipetting and recordkeeping. Digitally automated systems perform such tasks in more digitalized companies. Companies embracing future-facing technologies are investing in automation and digitalization, allowing for virtual remote access to…

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Three GE Healthcare leaders outline their vision for AI and the cloud in medtech

GE Healthcare Life Care Solutions Chief Technology Officer Roshy Francis [Photo courtesy of GE Healthcare]Set to spin off from parent company GE (NYSE:GE) next year, GE Healthcare leverages artificial intelligence (AI) to help providers improve efficiency, patient outcomes and access to care.

The medtech giant’s offerings include AI-based imaging applications and its Edison Health Services platform.

As part of the Medical Design & Outsourcing cloud conversation series with medtech innovators and leaders, three leaders from GE Healthcare — Life Care Solutions Chief Technology Officer Roshy Francis, SVP and Imaging Solutions GM Rekha Ranganathan and VP and Edison AI and Platform GM Vignesh Shetty — offered their vision for the cloud-enabled future of healthcare.

Get the full story at Medical Design & Outsourcing.

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