How can genomics and AI help us understand—and prevent—the next pandemic? Join this research-focused online seminar for PhD students and professional researchers to explore how metatranscriptomics is revealing hidden viral diversity and how AI is helping scientists detect viruses, investigate their evolution, and assess the risk of animal-to-human transmission. Drawing on surveys of RNA viruses in mammalian systems, including natural and farmed/market animal environments in China, the seminar examines emerging coronaviruses, species jumps, and SARS-CoV-2 as a case study. You’ll deepen your understanding of genomic surveillance, phylogenetic inference, and the ecological drivers of emergence while exploring pandemic prevention strategies, including a global pandemic radar and libraries of potential vaccines. Relevant to researchers in virology, evolution, One Health, and infectious disease epidemiology, this seminar connects scientific insights with rigorous research practice. Attend live via Zoom, with recordings, materials, and an expert-monitored Q&A forum available for 30 days afterward. An official Instats certificate of completion is included. #Virology #Ecology #PublicHealth #Epidemiology #ComputationalBiology #Bioinformatics #Genomics #Biology #Medicine #Research #ResearchTraining #Instats

M.S.Y.L. and W.J. are partially supported by NIH/NIAID under award numbers R01AI189829 and R01AI197111. The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript...

This review contextualizes Clostridioides difficile infection (CDI) as a phased epidemic. Following a slow emergence and a rapid acceleration driven by hyp

BACKGROUND Candidaemia places a substantial burden on healthcare systems. Long-term, population-based studies of candidaemia rates with appropriate adjustments for changes in age composition are lacki...

Strengthen your observational research—from study design to publication. Join Professor Lauren Wisnieski of Lincoln Memorial University for a three-day online workshop designed for PhD students, academics, and professional researchers seeking to produce credible, reproducible findings. Across three sessions totaling six hours, you’ll explore study designs, bias and confounding, causal thinking with directed acyclic graphs (DAGs), analytic strategies, and STROBE reporting guidelines. Real published examples and hands-on exercises will help you build defensible protocols, select appropriate covariates, critically appraise research, and prepare transparent manuscripts—skills you can apply directly to dissertations, grant proposals, and ongoing projects. Attend live via Zoom or learn asynchronously, with recordings and materials available for 30 days after the workshop concludes, plus an expert-monitored Q&A forum during that period. An official Instats certificate of completion is included. Take the next step toward more rigorous, impactful research! #ObservationalResearch #PhD #ResearchMethods #Epidemiology #ProfessionalDevelopment #Biostatistics #Epidemiology #ResearchinHealthSciences #ResearchMethods #PublicHealth #Statistics #Education #Medicine #Research #ResearchTraining #Instats

A novel Pfkelch13 mutation clinically associated with partial resistance to artemisinin is spreading in Zambia. Additional clinical evaluations are urgently needed in the region.

The networks also develop treatments and preventions for other infectious diseases and were instrumental in testing the Covid vaccine.

Talvez a semiótica explique ou um ensaio sobre valores de absoluto (+ segunda edição do Diário de escrita)

There has been an explosion of package/environment/platform managers in the R ecosystem recently. Here, we explore {renv}, {rix}, rv, uvr, and ir.

Chill out about reports about plague in Siberia, writes infectious disease doctor Krutika Kuppalli.

Norma não é apenas uma brasileira que vive há 47 anos na Nigéria. Sua história de empresária e familiar está profundamente ligada ao país

DataFrames for the new era

By Sofia Santos Nunes

With today's memory shortages, high prices, and ever increasing memory capacity needs, Meta engineers have been working on Compressed RAM "CRAM" for Linux. This hardware-offloaded compression still allows cacheline/byte access to compressed memory and in turn a better implementation than the likes of ZRAM and Zswap. Very promising is that there is near-native performance to raw DRAM speeds with CRAM...

Abstract. Overadjustment bias occurs when adjusting for a variable increases rather than decreases bias. It commonly arises in studies estimating the total

Measles cases have surged in 2026, and Pennsylvania reported more than a thousand cases as of Monday.

What happened in Mangala, where residents were left with little outside support, helps explain how this outbreak became the worst seen in the Democratic Republic of Congo.

Author summary Why was this study done? Erythema nodosum leprosum (ENL) is a painful, relapsing inflammatory complication of leprosy that often requires prolonged courses of oral corticosteroids. ...

Quem é Lula? O problema é que não sobrou muita gente no país que ainda saiba responder a essa pergunta.

A few thoughts on AI use after talking to many people (Thanks, EcoInf GT) and trying Opencode with my own agent and skills (TL;DR opinion: Highly impressive, but easy to loose control). We should l…