Data is the new gold. This is how it can benefit everyone – while harming no one

World Economic Forum

(29/07/2020)

Digitalization is yielding vast quantities of data, which offer opportunities for business, human well-being and the environment, if used effectively.

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What’s in the Box? Combating Counterfeit Medications in Pharmaceutical Supply Chains with Blockchain Vigilant Information Systems

Springer

(06/06/2020)

Counterfeit medications, medication overprescribing and a slow antiquated process encompassed in recalling batches of medications represent serious supply chain concerns for the pharmaceutical industry.

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Blockchain: chaining digital health to a new era

ATM

(31/06/2020)

Blockchain technology, first known as Bitcoin, is an integration of distributed ledgers, asymmetric encryption, and hash algorithms to achieve decentralization, immutability, security and traceability.

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The upside of being a digital pharma player

Science Direct

(15/06/2020)

We investigated the state of artificial intelligence (AI) in pharmaceutical research and development (R&D) and outline here a risk and reward perspective regarding digital R&D.

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Blockchain is Supporting Medical Research

Bitboycrypto

(30/06/2020)

In 2017, The Economist published a story titled "The world's most valuable resource is no longer oil, but data" which generated a lot of discussion around the topic. Even if you consider the phrase “data is the new oil” to be hyperbolic, the value data represents to companies and governments around the world cannot be denied.

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Pharmaceutical Innovation for Infectious Disease Management

Rand

(01/05/2020)

We need to ensure scalable and sustainable approaches for pharmaceutical innovation in response to infectious disease threats to public health

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The Expanding Role Of Artificial Intelligence In Clinical Research

The Clinical Leader

(09/06/2020)

In recent years, access to patient medical information, coupled with rapid advancements in data analytics tools and technologies, has significantly altered many areas of healthcare, from early-stage discovery and research to patient treatment.

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COVID-19: Insights from Innovation Economists

EPFL

(16/04/2020)

The present document provides the take of innovation economists on the current pandemic. It is addressed to the general public and focuses on questions related to the Science, Technology, and Innovation (STI) ecosystem.

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Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

ACS Publication

(03/04/2020)

Artificial intelligence and machine learning have demonstrated their potential role in predictive chemistry and synthetic planning of small molecules; there are at least a few reports of companies employing in silico synthetic planning into their overall approach to accessing target molecules.

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Annual report from Servier

Servier

(02/04/2020)

Servier soutient l’IMI « Innovative Medicines Initiative » depuis sa création en 2008. À l’occasion des 10 ans de ce partenariat européen public/privé qui finance la Recherche en santé, Servier a réuni devant ses collaborateurs des représentants de toutes les institutions pour exposer comment l’IMI facilite le développement de médicaments innovants

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Big Pharma must share data to speed a covid-19 vaccine

Decrypt

(02/04/2020)

Large pharmaceuticals are hoarding data needed for a coronavirus cure. There is a precedent to share it, and retain commercial confidentiality.

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Special edition: An interview with Novartis' Dan Fritz on PharmaLedger

Robert Miller’s newsletter

(18/02/2020)

Welcome to a special edition of my newsletter where Dan Fritz, Supply Chain Architect at Novartis and PharmaLedger Industry Project Lead, has answered some of the questions I had about PharmaLedger.

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NVIDIA: AI in the Spotlight

Eme Outlook

(18/03/2020)

Graphic Processing Units, or GPUs, have been a gamechanger in the world of computing. 
Driving advances in gaming and graphics, they have also become a key part of modern supercomputers and sparked something of an AI boom. 

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European Union: EU Funding Call For Coronavirus Projects

Mondaq

(09/03/2020)

The Innovative Medicines Initiative (IMI) was created in 2008 as a public-private partnership between the European Union and the European Federation of Pharmaceutical Industries and Associations (EFPIA).

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The Future of Digital Health with Federated Learning

Arxiv

(18/03/2020)

Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems.

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Iktos et SRI International collaboreront pour accélérer la découverte et le développement de nouveaux traitements antiviraux

ActuIA

(18/03/2020)

La start-up française Iktos et SRI International (anciennement Stanford Research Institute) ont annoncé en ce mois de mars leur collaboration. Leur partenariat se veut centré sur l’intelligence artificielle et la synthèse automatisée de nouvelles molécules pour accélérer le développement de nouveaux antiviraux.

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'Chain' Reaction: The New Decade Will Bring Blockchain Piloting To Fruition In Healthcare And Beyond

Forbes

(13/03/2020)

Today, blockchain no longer rates as a hot buzzword. But its absence from headlines belies the fact that blockchain is more important in 2020 than ever before. Leaving the bitcoin association completely out of the equation, the blockchain paradigm now underpins the best hopes for future function in the increasingly complex and digitalized business world globally.

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Quelles technologies pour aider à la mise au point des candidats médicaments (French)

Mindhealth

(18/02/2020)

Utilisées dès les premières phases de développement des médicaments, les nouvelles technologies s’invitent dans l’industrie pharmaceutique afin d’économiser temps et argent. mind Health fait un tour d’horizon des différentes approches numériques adoptées pour la découverte de candidats médicaments.

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Best healthcare project powered by blockchain

Blockchain Council

(13/02/2020)

Blockchain can be defined as chains of blocks where blocks refer to digital information and chain, a public database. Blockchain has transformed almost all industries, and it is still making efforts and transforming the healthcare industry. From record-keeping technology to enhance the way healthcare used to be, blockchain has covered a lot of distance.

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Federated learning offers safer collaborations for health research

Live 24x7

(13/02/2020)

What if we could learn from massive collections of data while avoiding the privacy and other risks typically associated with sharing such information? The Mayo Clinic has taken a step toward making that possible with its announcement that the first venture of the Mayo Clinic Platform will use federated learning as a foundational technology of if its privacy model.

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MELLODDY Consortium Employs Federated Learning and Blockchain to Enhance AI Drug Discovery

Astrix Technology Group

(06/02/2020)

A new consortium of pharmaceutical, technology and academic partners is hoping to improve collaboration and competitive data sharing among pharmaceutical companies in ways that would address IP concerns. Utilizing blockchain and federated learning technologies, the MELLODDY (Machine Learning Ledger Orchestration for Drug Discovery) Consortium aims to …

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What is Blockchain in Healthcare?

Solve Care

(04/02/2020)

Both public and private healthcare organizations remain under extreme pressure. With more and more technologies entering the market, it gets increasingly difficult to integrate them to reduce the costs, and at the same time, increase the quality of services provided to patients. Then there are also extensive law regulations, data security challenges, transaction management issues, etc.

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Two new blockchain and healthcare business networks are launched

Blockchain & Healthcare

(02/02/2020)

KPMG, Merck, Walmart, and IBM formed one of the pilots in the FDA’s DSCSA program. This group completed their pilot this past December and instead of disbanding they are continuing their collaboration as a new business network: the Pharmaceutical Utility Network (“PhUN”). There wasn’t a formal announcement for PhUN, which is a bit odd, but I noticed the above page on IBM’s website.

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AI and drug discovery

Lexology

(24/01/2020)

Once upon a time, drug discovery was limited by the imagination of the scientists involved. But Artificial Intelligence (AI) / Machine Learning (ML) is pushing the old boundaries of drug discovery in exciting ways. A recent event hosted in Cambridge, UK by Johnson & Johnson Innovation – JLABS and the Innovation Forum illustrated the shape of the future for AI/ML enabled drug discovery.

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Nvidia says it has a solution for healthcare’s data problems

MedCity News

(16/01/2020)

The chipmaker touted a new framework that would allow hospitals and pharmaceutical companies to collaborate on AI projects without sharing sensitive data. Nvidia said the framework is already gaining traction with hospitals and drug developers.

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40 Pharma Companies Using Artificial Intelligence in Drug Discovery

BenchSci Blog

(16/01/2020)

If you read my list of startups using artificial intelligence in drug discovery, you may have wondered: how much traction do these companies actually have? And perhaps, if you work for a pharmaceutical or biotechnology company, a related question: are any of my competitors working with them?

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Biopharma’s Lab of the Future Can’t Wait

Genetic Engineering & Biotechnology News

(03/01/2020)

The lab of the future won’t be bounded by walls.” This statement, a distillation of the views expressed at the recent Lab of the Future congress, was delivered by the event’s keynote speaker, Bryn Roberts, PhD, senior vice president, global head of operations, Pharma Research and Early Development, Roche.

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Blockchain May Save Billions for Healthcare Industry

Managed Healthcare Executive

(02/12/2019)

Blockchain technology may not be the panacea for healthcare industry challenges, but it holds the potential to save billions of dollars by optimizing current workflows and disintermediating some high-cost gatekeepers, according to a new study.

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The MELLODDY Project

Technology networks

(02/12/2019)

In this video recorded at ELRIG Drug Discovery 2019 in Liverpool, Dr Hugo Ceuleans from Janssen Pharmaceutica NV, outlines the MELLODDY project and its aims.

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Artificial Intelligence: On the cusp of a digital revolution

Chemistry World

(21/11/2019)

Artificial intelligence (AI) is transforming the pharma industry and its drug discovery pipeline.

From the initial discovery to the final therapeutic, drug development is a notoriously expensive, time-consuming and difficult process.

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The MELLODDY project

Fiercebiotech

(21.10.2019)

It can be hard to get several international Big Pharma companies to work in harmony. 

With an astounding amount of preclinical data and research being generated among them, it’s easy to see how not all of it may be used optimally, whether due to resource constraints or the urge to keep it closely held for competitive reasons.

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NVIDIA and King’s College London Debut First Privacy-Preserving Federated Learning System for Medical Imaging

NVIDIA’s blog

(13.10.2019)

To help advance medical research while preserving data privacy and improving patient outcomes for brain tumor identification, NVIDIA researchers in collaboration with King’s College London researchers announced the introduction of the first privacy-preserving federated learning system for medical image analysis

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Large pharmas set up screening library data-sharing experiment

Nature

(10.09.2019)

Large pharmas set up screening library data-sharing experiment.

Although small-molecule screening libraries are sometimes called the 'crown jewels' of large pharmaceutical firms, companies are increasingly

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Maximizing Drug Discovery Success With Machine Learning

Technology Networks

(24.09.2019)

The pipeline to new drugs isn’t straightforward. Whilst some estimates of only 5-10% of drug programs making it to approval may be lowballing the true rate, success is still far from guaranteed. What is guaranteed is the gargantuan time and cost of taking a compound from discovery to therapy.

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Perfect Harmony: Pharma’s MELLODDY Consortium Joins Forces with NVIDIA to Supercharge AI Drug Discovery

Nvidia’s blog

(08.08.2019)

Pharmaceutical companies have traditionally kept their data close to the vest because collaboration’s side effects may include compromising intellectual property and losing the edge over competitors.

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MELLODDY Using Federated Learning To Improve Drug Development

Bio-ITWorld

(02.09.2019)

A 17-partner consortium in Europe is seeking to confirm the utility of a machine learning platform for better predicting promising compounds for drug development. The three-year initiative, which launched in June, represents the first large-scale deployment of blockchain technology to extract insights from multiple preclinical datasets

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Pharma blockchains AI for drug development

The Lancet

(15.06.2019)

The venture would allow AI to be trained on millions of datapoints across databases from several drug companies without threatening the ownership and privacy of the data. Talha Burki reports.

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Ten manufacturers join forces to improve their predictive model for drug discoverY (French)

Tic Pharma

(11.06.2019)

Dix laboratoires pharmaceutiques participent à un consortium de recherche, impulsé par Janssen (groupe Johnson & Johnson) et coordonné par la jeune société française Owkin, visant à mieux exploiter, grâce à l'apprentissage automatisé, les chimiothèques de chaque industriel et améliorer…

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10 big pharmas s’associent dans l’IA (French)

Opportunities-technos

(11.06.2019)

La recherche pharmaceutique est au cœur du business des big pharmas. C’est par l’invention de nouveaux traitements, et leur exploitation, qu’elles atteignent des marges phénoménales.

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The stakes of the alliance between Sanofi and Google (French)

Industrie Pharma

(11.06.2019)

Le laboratoire français s'allie à Google pour développer un laboratoire d'innovation. Un outil qui aura des débouchés scientifiques et commerciaux.

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New research consortium to accelerate drug discovery (French)

ActuIA

(04.06.2019)

Le projet MELLODDY vise à exploiter la plus grande base de données de petites molécules au monde ayant une activité biochimique ou cellulaire connue, pour permettre l’élaboration de modèles prédictifs plus précis et d’accroître l’efficacité de la découverte de médicaments.

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New research consortium to accelerate drug discovery via Machine Learning (French)

Gazette Labo

(04.06.2019)

Un nouveau consortium de recherche pour accélérer la découverte de médicaments via le Machine Learning et révéler le plein potentiel des données de l’industrie pharmaceutique

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European consortium uses machine learning to develop medicines (French)

Hospimedia

(04.06.2019)

À l'initiative de Janssen, dix-sept acteurs européens lancent un partenariat public-privé autour de l'usage de l'apprentissage automatique dans la recherche de nouveaux médicaments.

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Ten pharmacy giants join forces to optimize drug discovery AIs (French)

Usine Nouvelle

(04.06.2019)

La Fédération européenne de l'industrie pharmaceutique a annoncé le 3 juin la création d’un consortium de recherche visant à mobiliser l’IA pour la découverte de nouveaux médicaments. Les partenaires pourront entraîner leurs IA avec les chimiothèques de dix industriels, dont le français Servier.

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New research consortium to accelerate drug discovery via Machine Learning (French)

Toute-la.veille-acteurs-sante

(04.06.2019)

Un nouveau consortium de partenaires pharmaceutiques, technologiques et universitaires européens annonce le lancement du projet MELLODDY (Machine Learning Ledger Orchestration for Drug Discovery). Ce dernier a pour objectif d’utiliser les méthodes d’apprentissage automatique…

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Pharma groups combine to promote drug discovery with AI

Financial Times

(04.06.2019)

Ten large pharmaceutical companies, including Johnson & Johnson, AstraZeneca and GSK, are embarking on the first collaboration to train their drug-discovery, machine-learning algorithms on each other’s data.

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Group targets a platform for collaborative data management in drug discovery

Chemical & Engineering News

(04.06.2019)

A newly-formed consortium of pharmaceutical companies, academic researchers, and technology suppliers has announced a three-year, $20 million project that will apply machine learning methods and block-chain security techniques to data management in drug…

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Machine Learning: A new research consortium to accelerate drug discovery (French)

Mypharma-editions

(03.06.2019)

Un nouveau consortium de partenaires pharmaceutiques, technologiques et universitaires européens a annoncé le lancement du projet MELLODDY (Machine Learning Ledger Orchestration for Drug Discovery).

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