silargi.bsky.social

@silargi.bsky.social

Here for pathogen genomic surveillance and AMR. Won't turn away cute animal videos.

Early detection is key to responding effectively to respiratory virus threats. We have just published new 𝗴𝘂𝗶𝗱𝗮𝗻𝗰𝗲 𝗼𝗻 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗿𝗲𝘀𝗽𝗶𝗿𝗮𝘁𝗼𝗿𝘆 𝘃𝗶𝗿𝘂𝘀 𝘀𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲 to help countries across Europe detect changes in virus circulation earlier and build a 𝗰𝗹𝗲𝗮𝗿𝗲𝗿 𝗽𝗶𝗰𝘁𝘂𝗿𝗲 𝗼𝗳 𝗿𝗲𝘀𝗽𝗶𝗿𝗮𝘁𝗼𝗿𝘆 𝗱𝗶𝘀𝗲𝗮𝘀𝗲 𝘁𝗿𝗲𝗻𝗱𝘀.

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Applications are open for the October 2026 Omics Codeathon, hosted virtually by ASBCB. Free and open to researchers, biologists, data scientists, and coders, including those newer to bioinformatics. 20 to 31 Oct 2026. Apply by 29 May. Apply Here 👇️ docs.google.com/forms/d/1YkP...

Omics Codeathon General Application - October 2026

The African Society for Bioinformatics and Computational Biology with support from the National Institutes of Health Office of Data Science Strategy and other organizations is pleased to announce a…

docs.google.com

📰 The UK's largest ever real-world study into RSV vaccination has confirmed that babies born to vaccinated mothers are up to 85% less likely to end up in hospital with an RSV chest infection. Thanks to all the NHS health professionals who deliver this vital programme 👏

Woman holding a baby close against her shoulder. Text states that the maternal RSV vaccine can reduce baby hospital admissions by up to 85%, based on a large real‑world study in EnglandBaby sleeping on their side next to a soft toy. Text explains this is the largest study of maternal RSV vaccination, covering 90% of births in England between September 2024 and March 2025Adult gently kissing a baby’s cheek in an outdoor setting. Text explains that babies born to mothers vaccinated against RSV during pregnancy were up to 85% less likely to be hospitalised with an RSV chest infection, especially when born at least four weeks after vaccination.Close-up of a baby sleeping in a hospital cot. Text highlights research showing high protection for premature babies when there is at least a two‑week gap between maternal vaccination and birth

AI folks now having to realise what GWAS folks did about studying bacterial genome datasets. Great work by great researchers

PLOS Biology@plosbiology.org · 8mo ago

#MachineLearning methods are used to predict #AntimicrobialResistance #AMR from genomic data. @lbarquist.bsky.social &co show that sampling biases driven by population structure severely undermine the accuracy of AMR prediction models even with large datasets @plosbiology.org 🧪 plos.io/4iZ0zXQ

Bacterial population structure and clade-specific sampling affect machine learning predictions of antimicrobial resistance (AMR). Top: An illustration of defining clades for genomes in one species. R: resistant (triangles), S: susceptible (circles). Bottom left: An example of training scenarios for scheme B based on the clade splitting in shown above. Models were trained on all samples except for resistant or susceptible samples from one clade. The held-out genomes from the same clade were used as the test sets. Bottom right: The precision and recall scores for scheme B; a-random and b-random indicate testing on random train-test splits of the pathological unbalanced data.

After over 3 years of negotiations, WHO Member States have finalized a draft #PandemicAccord to make the world safer from future pandemics. The draft agreement will now be submitted to WHO’s Member States meeting at the #WHA78 for consideration and adoption. bit.ly/3EaZQmL

Participants in the discussions are holding up their country names.