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AI & RWD April publications – Covid-19 round-up

A new month means a new round-up of the more pertinent publications, kindly collated by Benjamin Hughes, SVP at IQVIA. This month the journal sampling focuses on artificial intelligence and real world data related to Covid-19 research.

Pharma-published articles:

  1. Merck and Boehringer Ingelheim publish considerations for C19 COVID19 vaccine trials and the role of RWD/RWE in their evaluation.

Statistical Considerations in the Design of COVID-19 Vaccine Trials. J Chen and N Ting

  1. Eli Lilly publish on AI in-vivo simulations of baricitinib impact on signalling of cytokines in COVID-19 infection, as well as case series of treatments of four treated patients in the UK.

Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patient. J Stebbing et al.

Academia and industry published:

AI case prediction – detailed RWD from 53 COVID cases from Wenzhou, to test 6 ML types to predict progressions with 70-80% accuracy, and uncover key predictors such as ALT and blood count.

Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity, X Jiang et al.

AI for Covid-19 – a review of potential applications of AI to fight COVID (prediction, diagnosis, drug discovery, patient engagement) including various case studies and publications

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts QV Pham et al.

Covid-19 spread prediction – a team in Italy model how social distancing and 6 different levels of lockdown measures impact COVID 19 disease spread, levering SEIR modelling

Effectiveness of social distancing strategies for protecting a community from a pandemic with a data-driven contact network based on census and real-world mobility data. D Martin-Calvo et al.

Covid-19 AI mobile diagnosis – a team in India start developing an algorithm to diagnose COVID via cough sounds and mobiles, to develop a low cost, easy to distribute test

Active Surveillance for COVID-19 through artificial intelligence using concept of real-time speech-recognition mobile application to analyse cough sound. M Z Iqbal and F I Faiz

Covid-19 AI imaging diagnosis – a review of 14 different XR/CT AI algorithms published to date, and further reflection on use of AI/software to enable contact less workflows

Artificial Intelligence against COVID-19: An Early Review. W Naudé

Covid-19 Databases – examples of viral genomics, transcriptomics, epidemiology databases, as well as drug and vaccine targets, and the use of databases to study the disease

SARS-CoV-2/COVID-19: Viral Genomics, Epidemiology, Vaccines, and Therapeutic Interventions. M Uddin et al.

Covid-19 drug targets – Allchemy Inc. use Mol2Vec to profile anti-COVID-19 drugs based on intelligence measures of molecular similarity, shape and pharmacophore distribution

Suggestions for second-pass anti-COVID-19 drugs based on the Artificial Intelligence measures of molecular similarity, shape and pharmacophore distribution. M Moskal et al.

UK Covid-19 surveillance – a protocol for Covid-19 surveillance in the RCGP network, sampling to be performed, and show initial coding of data from 3 UK EMR systems

Emergence of a Novel Coronavirus (COVID-19): Protocol for Extending Surveillance Used by the Royal College of General Practitioners Research and Surveillance Centre and Public Health England. S Lusignan

Covid-19 New York study – Clinical characteristics of first 393 admissions for COVID 19.

Clinical Characteristics of Covid-19 in New York City P Goyal et al.

Covid-19 registries – the US AHA publishes how its registry and other can be used to capture information on COVID 19

Role of Data Registries in the Time of COVID-19. H.M Alger et al.

More on these topics

AI / Covid-19 / Real World Data / Research

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