AlphaFold: Redefining drug discovery with digital biology and AI

[Christoph Burgstedt/Adobe Stock]

At the Nvidia GTC 2023, DeepMind’s Founder and CEO, Demis Hassabis, provided an in-depth look into the seismic potential of their protein folding AI system, AlphaFold. Hassabis said AlphaFold was a contender for the organization’s “biggest project to date.”

Hassabis noted that DeepMind’s AlphaFold has made strides in addressing the protein folding problem, a challenge that has stumped scientists for more than five decades. The protein folding problem involves predicting the 3D structure of proteins solely from the amino acid sequence. Until AlphaFold, determining a protein’s structure was a complex and time-consuming process, often taking years of experimental work.

At the end of 2022, the company announced that it updated AlphaFold with the structure predictions of more than 200 million proteins.

Hassabis explained the enormity of the challenge, …

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AI breakthroughs in medtech: 7 ways to enhance healthcare

[Image from Pixabay]

Whether it’s OpenAI’s ChatGPT, Microsoft’s new Bing or Google’s Bard, 2023 is the year when generative artificial intelligence entered the popular consciousness.

In the medtech space, it seems as though every company is seeking ways to incorporate some form of AI into the digital features of their products and services.

So what is artificial intelligence good at so far when it comes to advancing medtech and healthcare in general? Here are seven recent examples:

1. Helping physicians identify medical problems quickly

GI Genius’ AI-based enhancements place green boxes around areas that may need extra scrutiny during a colonoscopy, helping to prevent physicians from losing their focus. [Image courtesy of Medtronic]

Interest is growing in artificial intelligence that can help radiologists, gastroenterologists and othe…
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September 2022 Issue: The Medtech Big 100 is bigger than ever

Medtech sales reach a record high as R&D spend and employee counts climb

Supply Chain EVP Greg Smith sees fewer suppliers in Medtronic’s future

Autotransfusion device maker ships units to Ukraine

How IP protection is enabling robotic surgery innovation

Connected device design for the real world: Managing the development process

FDA details plans to expand remote safety assessments for device makers

Contract manufacturer Minnetronix Medical launches its first in-house product, MindsEye

The Medtech Big 100 is bigger than ever

The tide has turned.

The Medtech Big 100 — Medical Design & Outsourcing‘s annual revenue ranking of the world’s …

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7 case studies highlighting the potential of DeepMind’s AlphaFold 

[Image courtesy of DeepMind]

Alphabet subsidiary DeepMind has announced that its AI system AlphaFold has predicted the structure of more than 200 million proteins, representing almost every known cataloged protein. In addition, AlphaFold and its partner, the EMBL’s European Bioinformatics Institute, announced that the recent release expanded the database by more than 200 fold, from almost 1 million to more than 200 million structures.

“When we launched the database last July, it was sort of recognized as a pretty big leap forward for biology,” said Demis Hassabis, founder and CEO of DeepMind, in a press conference. The release last year included roughly 350,000 high-quality predictions, including all proteins in the human body.

The continued advances of AlphaFold make it possible to search for the 3-D structure of proteins “almost as easily as doing a keyword Google search,” …

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How the cloud tools behind Google Maps and Photos can advance medtech

Alissa Hsu Lynch is Google Cloud’s global lead for medtech strategy and solutions. [Photo courtesy of Google]

Alissa Hsu Lynch leads medtech strategy and solutions at Google Cloud, previously serving in executive roles at Johnson & Johnson and Bausch Health.

As part of Medical Design & Outsourcing‘s ongoing series of conversations about the cloud’s contributions to the medical device industry and its future, Lynch offered her perspective from the Alphabet (NASDAQ:GOOGL) subsidiary’s cloud-computing business. The following exchange has been edited for clarity and length.

MDO: What are some surprising and inspirational examples of what cloud computing enables with regard to medical device/drug development, manufacturing and capabilities/performance?

LYNCH: First is using data and artificial intelligence (AI) to quickly respond to emerging crises. COVID-19 accelerated …

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