Floto Group
@flotocambridge
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The Floto lab, within the VPD Heart Lung Research Institute, studies how bacteria interact with humans and how to create antibiotics using ML
University of Cambridge, UK
Joined October 2014
Exciting PhD studentship opportunity on understanding chemical permeability to advance antibiotic drug discovery @flotocambridge
https://t.co/yUeUo32Myg. Combines experimental approaches with in silico screening and generative AI.
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Tune into a Pseudomonas genomics webinar tomorrow at 11 UTC organised by @ESGEM_ESCMID to hear me present our paper on the evolution of Pseudomonas aeruginosa https://t.co/AFWgJUiaAk and talks from Adesola Olalekan and Sara Cortes Lara. Register here:
science.org
The major human bacterial pathogen Pseudomonas aeruginosa causes multidrug-resistant infections in people with underlying immunodeficiencies or structural lung diseases such as cystic fibrosis (CF)....
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Outstanding news for LSHTM science. We look forward to your leadership Jose.
Delighted to share that next February I will join @LSHTM to lead the Faculty of Infectious and Tropical Diseases. Honored to join a world leading University to contribute towards a healthy, sustainable, and equitable world for everyone. Exciting times for the Bengoechea lab!
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Are you a postdoc interested in bacterial evolution? This role with @flotocambridge may be of interest: https://t.co/xx5SJWvPt9 6/6
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Metagenomics postdoc fellowship available. We are looking for a talented individual who is willing to take on challenging datasets and develop new analytical approaches
Josie Bryant (@Josie_M_B) and I have a 3yr joint postdoc project at Sanger & EBI (ESPOD) Topic: Developing new bioinformatic and modelling approaches for exciting new longitudinal microbiome datasets Project details: https://t.co/MY9SaO8x33 To apply:
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The Cambridge Centre for AI in Medicine is pleased to announce a strategic collaboration with @AstraZeneca, @Boehringer, and @GSK, to leverage AI and machine learning to innovate medical research with the potential to enhance patient outcomes globally:
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A new Science study describes the key sequential steps involved in the evolution of Pseudomonas aeruginosa from an environmental organism to a major human pathogen. 📄: https://t.co/H6FQty2lal
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I'm deeply honoured to be this year's recipient of the Johann Anton Merck Award! I am grateful for this recognition and eager to continue developing cutting-edge AI that can transform healthcare, empowering clinicians and patients! @merckgroup @Cambridge_Uni @CC4AIM
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On #ResearchAppreciationDay, we're celebrating the advances in CF care and treatment thanks to research. 🫁 Today, Trust-funded researchers published important findings on CF lung infections in the journal Science. Dr. Aaron Weimann explains more. ➡️ https://t.co/tSKOhCjTq8
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Huge effort! Thanks to all our collaborators and funders! Many congratulations to Aaron and co-authors
Today in @ScienceMagazine, we report how a bacteria has evolved into a major human pathogen over the last 200 years. Read on, this is going to be an adventurous ride 1/n!
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It was great to discuss our paper with the amazing @zsaidso for the @ScienceMagazine podcast. Tune in from 17:50 https://t.co/T3PhBrFqQg to hear about how @LinkedIn Premium played a role in our discovery.
science.org
On this week’s show: The quest for a storable universal blood substitute, and what centuries of bacterial samples can tell us about a deadly disease today
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@BernutAudrey and Stephane did some mind blowing Zebrafish work for our study. I'm really glad you guys were up for it.
Pleased to have contributed towards this fascinating study led by @aaron_weimann in @flotocambridge. Bravo à tous. #cysticfibrosis
@umontpellier
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How does the lung microbiome affect human health? 🫁 Group leader @Josie_M_B shares with us her career journey & research aims to improve treatment for patients with chronic lung conditions, including cystic fibrosis. https://t.co/oePi3uyllW
#CFWeek #cysticfibrosis
sangerinstitute.blog
Dr Josie Bryant is a new group leader at the Sanger Institute. She is interested in how microbes in the human lung evolve and adapt over time and how this affects health and disease. We spoke to...
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Our timetable for our AI and machine learning in healthcare #SummerSchool is taking shape! Have a peek at our preliminary schedule and secure your spot to dive into all those exciting topics! Find all the information here: https://t.co/cmRBe6E9e3
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Much needed publicity for the pressing problem of antimicrobial resistance in a major news outlet featuring the @UKAMREnvoy Prof Dame Sally Davies
theguardian.com
Common infections will kill millions if drug resistance through misuse of antibiotics is not curbed, says England’s ex-chief medical officer
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Was such a nice day getting to hear about all the amazing infection research yesterday. Thanks for organizing @CamInfectDis - already looking forward to next year!
Great second session at @CamInfectDis Annual #Symposium @ksbakes @KeyserLab @Chris3Ruis @monkeymyshkin @RobinsonCamb
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Great to hear I've received an Outstanding Reviewer Award for reviewing for @MicrobioSoc Microbial Genomics last year for the second time (after 2021). Proud to support a society journal. Thanks to EIC @sheppard_lab.
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We have closed our £26m Series B follow-on #investment — an achievement that will fund our Phase 2a #clinical #proofofconcept trial in #cysticfibrosis for ETD001, as well as our other #preclinical programmes targeting mucus congestion. Read here: https://t.co/63EpGnNlip
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Great project! 🙏🏾to @RoyalSocBio,@AmandaChemist, Sadiyah,@BBSRC for inspiring future Biologist!🙏🏾to all so far @HLRI_Cambridge, @CamBiochem,@MRC_LMB,@emblebi,@BirkbeckUoL,members of @flotocambridge,Blundell,@Julian_Gough,Ardan and Maya group for support #BiologyCareers #outreach
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Pre-print alert: A novel DNA sequence-to-MIC prediction model with applications to Mycobacterium tuberculosis and Pseudomonas aeruginosa. Transfer learning with gene expression data improves accuracy! Great team effort led by @wiatrak_maciej . Thread ⬇️
1/n Excited to share our new work with @AndresFloto, @mariabrbic and @aaron_weimann on predicting antibiotic resistance from DNA 🧬. We present GeneBac: a deep-learning modular framework for modelling bacterial genomes ( https://t.co/1NNU96gYy8).
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