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Tag: ai

Unleashing the power of digital pathology and AI for precision medicine

We’re looking back at the highlights from the Digital Pathology and AI meeting in 2018 as we anticipate this year’s Digital Pathology and AI Congress in December. This second post in our mini-series reviews Marylin Bui’s keynote presentation where she explained how the combination of Digital Pathology and Artificial Intelligence (AI) holds huge potential for patient care.

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Will the intersection of blockchain and AI inspire the Pharma R&D Renaissance?

Global Engage spoke to Scott Kahn ahead of the 3rdGlobal Pharma R&D Informatics and AI Congress. Scott is the CIO of Luna PBC, the entity that manages LunaDNA: a community-owned data-sharing resource. Their conversation was recorded as a podcast, which can be found here.

This is the second half of that conversation, where Scott discusses the challenges of distributive ledger technologies such as Blockchain, and their intersection with AI for Pharma R&D.

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Digital Pathology and Deep Learning: AI assisting in PD-L1 scoring

Ahead of this year’s Digital Pathology and AI Congress in December we look back at some of the highlights from last year.

First up, Michel Vandenberghe’s presentation on a new deep learning algorithm, which demonstrates the potential of artificial Intelligence (AI) to support pathologists, has been developed for PD-L1 scoring in tumour cells and immune cells in urothelial carcinoma samples.

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How to revolutionise clinical trials: engaging with participants as partners

Ahead of the 3rd Global Pharma R&D Informatics and AI Congress, Global Engage spoke to Scott Kahn, CIO of LunaPBC. LunaPBC is the company that manages LunaDNA: a community-owned data-sharing resource. Their conversation was recorded as a podcast, which can be found here.

In the first half of the conversation, Scott discusses the benefits of distributive ledger technologies such as Blockchain for Pharma R&D.

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Falling off the cliff: are we short of pathologists?

I can recall clearly the pathologists coming to lecture our medical school class our second year in 1993.

Most of them felt compelled to tell us, “Pathology is a lot of fun, you can make a good living, but don’t go into it, there aren’t any jobs.”

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Why drug designers will be at a disadvantage without AI

We spoke to John Griffin, CSO at Numerateto find out how AI is changing drug discovery and development. Numerate is a drug design company applying cutting-edge AI to transform the process of small molecule drug design.

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A High impact Open-Source tool for Digital Pathology Quality Control

Ahead of his presentation at the 6th Digital Pathology and AI Congress: Europe, we spoke to Andrew Janowczyk about his work creating scalable data analysis techniques to facilitate cancer research through the development of open-source Digital Pathology tools.

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The future of Pharma: harnessing AI to decentralise data

 

As Chief Data Officer for the OSTHUS Group, Eric Little co-founded LeapAnalysis, a new approach to AI, data integration and analytics. 

 

LeapAnalysis is the first fully federated and virtualised search and analytics engine that runs on semantic metadata. It allows users to combine semantic models (ontologies) with machine learning algorithms to provide customers with unparalleled flexibility in utilizing their data.

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