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London, Englandlinktr.ee/jobiebuddJoined January 2015

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481 Followers

Jobie Budd’s Tweets

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1/ New paper, in the very first issue of

! We review the lessons learned for lateral flow test design and deployment for #COVID-19, and review how new technologies could allow affordable and rapid testing for a wider range infections

Lateral flow test engineering and lessons learned from COVID-19

Nature Reviews Bioengineering - The feasibility of large-scale testing with lateral flow tests has been demonstrated in the COVID-19 pandemic. This Review examines lessons learned from the COVID-19...

Our paper on the spatio-temporal modelling of wastewater during the COVID-19 pandemic is out doi.org/10.1016/j.envi We specified a geostatistical framework and quantified the relationship between weekly viral concentration and a collection of covariates

sciencedirect.com

A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic

The potential utility of wastewater-based epidemiology as an early warning tool has been explored widely across the globe during the current COVID-19 …

Being interdisplinary is odd sometimes. To mathematicians+computer scientists I am "the biologist/clinician". To molecular biologists and clinicians I am "the statistician". I am both excited about the science I span and also fearful of being accused of being a fraud everywhere.

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FIND, the global alliance for diagnostics

@FINDdx

Jan 20

New paper: “Lateral flow test engineering and lessons learned from #COVID19.” Co-authored by our CEO,

@BillRodriguezID

, CTO, Marta Fernández Suárez and Principal Consultant, Robyn Meurant: nature.com/articles/s4422

Lateral flow test engineering and lessons learned from COVID-19

Fantastic to see our paper on the history, state of the art, & exciting future of lateral flow devices particular for accessible global health come out today in

! It was a fun, interdisciplinary collaboration with

Nature Reviews Bioengineering

@McKendryLab

! Let me know what you think!

Quote Tweet

Lateral-flow tests provide a key technology in improving global health. Rachel McKendry and colleagues discuss the lessons learned from COVID-19 for the design of next-generation lateral-flow tests @McKendryLab @EricTopol @jobiebudd go.nature.com/3XkZU7K

Our comprehensive review of rapid antigen tests for Covid and their future was just published

, led by

nature.com/articles/s4422

@McKendryLab

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Nature Reviews Bioengineering

Lateral flow test engineering and lessons learned from COVID-19

Lateral-flow tests provide a key technology in improving global health. Rachel McKendry and colleagues discuss the lessons learned from COVID-19 for the design of next-generation lateral-flow tests

AI is no better at detecting covid-19 than simple symptom survey | New Scientist

7/ Thanks to a great set of co-authors

and to

editors

6/ We recommend that diagnostic research & development is better funded, and prioritised alongside vaccines & therapeutics, so that we can better track & treat future disease outbreaks – particularly for diseases of epidemic potential – imagine a

for diagnostics!

5/ Advances in molecular sensing, material science, and the ability to read or report results on smartphones could unlock the capability of the tried-and-tested lateral flow platform for a range of other use cases and healthcare pathways, such as antimicrobial resistance testing

4/ COVID rapid tests were developed fast, especially compared to tests for other infections (see comparison to malaria tests below), but in future they could be deployed even faster and save more lives with investment in regional biobanks and the harmonization of regulation.

3/ Ultimately, lateral flow tests were a powerful tool in interrupting chains of COVID transmission. But only 0.4% of the 3 billion COVID-19 tests performed through to mid-2022 were conducted in low-income regions, constraining our collective ability to respond to the pandemic.

2/ The success of COVID-19 antigen LFTs can be in part attributed to the pathophysiology of SARS-CoV-2, that is, its short incubation period and high transmission rates, which are well suited to rapid, frequent testing

Glad to see our most recent work on the effects of confounders in COVID detection from respiratory audio being picked up by

@newscientist

@jeremyhsu

. This is a vital lesson for all. Work done at

and

Artificial intelligence that analyses the sound of a cough to detect covid-19 had been reported to be 99 per cent accurate, but a comprehensive analysis shows it’s only about 60 per cent accurate

New Paper! Very excited to share our most recent work investigating the effects of confounders in COVID-19 detection from respiratory audio. link: arxiv.org/abs/2212.08570 🧵(1/9)

Great to see our work with

The Alan Turing Institute

finally out there :) dataset to be made available soon! arxiv.org/abs/2212.07738

Quote Tweet

@turinginst

Dec 19, 2022

Technologies that offer to diagnose #COVID-19 by coughing into a smartphone or tablet are no more effective at diagnosing the disease than checking for key #symptoms. Read more about our study with @UKHSA and @RoyalStatSoc: ow.ly/y0qU50M70N6

Turing-RSS Health Data Lab

Dec 19, 2022

Great to see our research out there! Wonderful team work from all -

@HarryCoppock

@IvanKiskin1

The Alan Turing Institute

to name just a few. Thanks to

@UKHSA

team for this great collaboration. And support from

@turinginst

and

@RoyalStatSoc

Quote Tweet

🧬➡️🩻I'm pivoting from biosensing and infectious diseases to medical imaging in the new year - what are some must-read AI in medical imaging papers?

Data show that the representation of scientists from marginalized ethnicities dwindles at each stage of UK academia.

How UK science is failing Black researchers — in nine stark charts

Data show that the representation of scientists from marginalized ethnicities dwindles at each stage of UK academia.

‘Not even enough money for food’: graduate students face cash crunch

‘Not even enough money for food’: graduate students face cash crunch

Nature - The cost-of-living crisis is causing widespread financial distress among those in master’s and PhD programmes worldwide.

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Deep learning on #graphs is poised to address major gaps in biology and medicine In Nature Biomed Eng

@natBME

, we describe the next generation of #graphAI #GNN methods and opportunities that build models from data using structure, geometry & knowledge rdcu.be/cYE8G

Harvard Medical School and 5 others

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792

Interesting paper on Technology Readiness Levels for ML Systems

Technology readiness levels for machine learning systems

Nature Communications - The development of machine learning systems has to ensure their robustness and reliability. The authors introduce a framework that defines a principled process of machine...

🌟Huge congratulations to the amazing Dounia Cherkaoui, a member of the

@McKendryLab

team at

@isenseIRC

, on her successful #PhD viva yesterday! Dounia moves on to an exciting position as Junior Associate at

Exicted to attend the first UKHSA conference. Lots of amazing work on show. Looking forward to presenting our findings from investigating COVID-19 detection from respiratory audio tech #ukhsa2022

Our peer-reviewed paper (with

@chrischirp

) on the "Role of mathematical modelling in future pandemic response policy" is just out as part of the

@bmj_latest

inquiry series. We came up with 4 key questions the Inquiry might like to consider... 1/4

bmj.com

Role of mathematical modelling in future pandemic response policy

Christina Pagel and Christian Yates consider what the pandemic has taught us about mathematical modelling in the UK and how it can be used more effectively ### Key messages Mathematical modelling...

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🇬🇧 UK launches call for evidence to discover *if* and *how* medical devices and technologies (inc A.I./ 🧬 genomics) may be exacerbating #inequalities in healthcare: gov.uk/government/new #equity

Views being sought to tackle inequality in medical devices

Call for evidence launched to discover if and how medical devices and technologies may be exacerbating inequalities in healthcare.

Aug 10, 2022

I wonder how much time machine-readable data could have saved pandemic analysts + decision making

once again copying official statistics from a pdf report into excel 😖

Is anybody aware of an archive of past UK gov announcements for changes in COVID-19 testing policy?

Great paper from

et al. that combines CRISPR and cataytic nanoparticles for pre-amplification free rapid molecular testing

Quote Tweet

Nature Nano

@NatureNano

Aug 4, 2022

New content online: Nanozyme-catalysed CRISPR assay for preamplification-free detection of non-coding RNAs dlvr.it/SW3gKT

Turing-RSS Health Data Lab

Jul 5, 2022

We are featured as a research highlight of the year! in the

@turinginst

annual report!!! 🎉🎉🎉🎉🎉 Well done to all involved in this very impactful work!

@RoyalStatSoc

@UKHSA

Find the full report here: turing.ac.uk/about-us/annua

Human behavior like deforestation and animal trapping can cause pandemics, leading some African countries to invest in a One Health approach to monitoring diseases in wildlife 🦇 Immersive news feature from

@pauladepoju

Africa’s outbreak sentinels

How monitoring wildlife can prevent the next pandemic

Astounding paper in JMIR. Despite making claims on diagnosis, treatment and prevention (making them medical devices): - 44% of digital health start-ups have zero published research or regulatory approvals jmir.org/2022/6/e37677

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Turing-RSS Health Data Lab

#Health #Covid_19 #DataScience #Statistics

Jun 22, 2022

Our next international lecture is about understanding the impact of the pandemic by

from

turing.ac.uk

Understanding the impact of the pandemic

As the 51st session of the UN Statistical Commission drew to a close on 6 March 2020, it was clear that COVID-19 was rapidly escalating from a regional crisi

Social mobility should celebrate 'small steps up the ladder'

Jun 9, 2022

A uni application advisor said something similar when I wanted to apply to Oxford:"How do I put it...what's your postcode? Let's try something else..." 6 years later I gave a guest lecture there as a PhD student. We need less, not more class discrimination

telegraph.co.uk

Katharine Birbalsingh vows to tackle uncomfortable truths head-on in new role

Two new

editorials — inviting us to be more thoughtful about the labels we place on countries/people: 1. The use, misuse & overuse of the ‘LMIC’ category gh.bmj.com/content/7/6/e0 2. How we classify countries & people — and why it matters gh.bmj.com/content/7/6/e0

Madhu Pai, MD, PhD and 9 others

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469

May 27, 2022

Is anybody looking at monkeypox classification from rash/lesion images?

Excited to announce the 🦟Mosquito Detection and Classification 🦟challenges at the ACM Multimedia 2022 Computational Paralinguistic Challenge (ComParE). Take part and help fight mosquito-borne diseases!

🧵

Just published today

! Reporting of early-stage evaluation of #AI: specifically focussing on feasibility, human factors and safety. Great to be part of this initiative spearheaded by ⭐️Baptiste Vasey⭐️Peter McCulloch & the DECIDE-AI team! nature.com/articles/s4159

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Still hope for statisticians and clinicians? "DNN cannot be fully trusted since they can fail for reasons unrelated to underlying pathology. Humans are less likely to make such superficial mistakes" as they use features that are based on medical science