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Here’s where Harvard’s engineering dean sees medtech research going

Harvard University constructed a 500,000-square-foot Science and Engineering Complex (SEC) for SEAS in Boston’s Allston neighborhood in 2020. [Image courtesy of Harvard SEAS]

Surgical robotics, artificial intelligence, and combatting climate change are but some of the priorities that have Harvard’s engineering school dean excited.

Speaking today at DeviceTalks Boston, Frank J. Doyle III described the Harvard John A. Paulson School of Engineering and Applied Sciences as a “well-kept secret” historically. But Harvard engineering is staking out a strong position when it comes to medtech innovation.

Doyle noted that the school he runs has 5% of the faculty — and produces 40% of the startups out of Harvard.

Get the full story at our sister site, MassDevice.

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

[Illustration via Adobe Stock] Leaders in medtech and cloud computing discuss payoffs and potential in device connectivity, product development and cross-industry partnerships.

If knowledge is power, that power comes from a steady stream of information, and we know there’s no shortage of that in healthcare.

The challenge has long been how to capture that information, store it, analyze it and deploy it to improve medical product design, manufacturing and the health of patients.

Then came the cloud, and with it a host of acronyms: software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS), and — following the same convention — software as a medical device (SaMD).

Over the past few months, Medical Design & Outsourcing connected with leaders in medtech and cloud computing, including the three largest providers of cloud computing services: Amazon (Nasdaq: AMZN), Microsoft (Nasdaq: MSFT) and Google (Nasdaq: GOOGL).…

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

[Illustration via Adobe Stock]

Leaders in medtech and cloud computing discuss payoffs and potential in device connectivity, product development and cross-industry partnerships.

If knowledge is power, that power comes from a steady stream of information, and we know there’s no shortage of that in healthcare.

The challenge has long been how to capture that information, store it, analyze it and deploy it to improve medical product design, manufacturing and the health of patients.

Then came the cloud, and with it a host of acronyms: software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS), and — following the same convention — software as a medical device (SaMD).

Over the past few months, Medical Design & Outsourcing connected with leaders in medtech and cloud computing, including the three largest providers of cloud computing services: Amazon (Nasda…

Amazon Web Services is powering medtech innovation: Its chief medical officer explains

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

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

Dr. 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.

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

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…

Aidoc’s AI-powered X-ray system cleared to detect collapsed lungs

An x-ray showing pneumothorax [Image courtesy of Aidoc]

Aidoc said today it has received FDA 510(k) clearance for AI-powered X-ray detection of pneumothorax, also known as a collapsed lung.

It’s the latest indication for New York-based Aidoc’s triage and notification system, which has already been FDA 510(k) cleared for flagging suspected intracranial hemorrhage, large vessel occlusions, acute cervical spine fractures, pulmonary embolism, incidental pulmonary embolism, intra-abdominal free gas and rib fractures.

The new offering runs on all X-ray machines (including portable devices) to automatically flag suspected cases of pneumothorax so radiologists and other doctors can act before respiratory or cardiac failure.

“This FDA clearance further validates the breadth of our AI platform, going beyond specific AI algorithms to act as a healthcare AI hub for the enterprise’s cro…

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.

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…

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 …

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.

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…

The role of natural language processing in advancing disease research

Image courtesy of Markus Spiske/Pexels

In any area of disease research, a deep understanding of recent and future trends surrounding a particular condition is crucial to the drug discovery process. But with the volume of scientific literature increasing all the time, it is difficult to manually sift through all the existing information and correlate data in such a way to produce meaningful direction. This predicament can lead to the misallocation of resources on research in areas that are less likely to yield promising treatments.

By analyzing all literature related to a specific condition or disease, researchers can better identify which areas will likely lead to a breakthrough. Natural language processing (NLP) uses a combination of linguistics, artificial intelligence, and computer science to understand text in the same way as people. Researchers can use NLP in trend analysis to determine the rate at whic…