Key governance structures that countries should implement to facilitate and regulate AI adoption

Photo by National Cancer Institute on Unsplash

Governance


How can sequence databases providing functional annotations remain sustainable as sequence data production explodes?

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And how can we identify the next pandemic threat?

Photo by CDC on Unsplash

Summary

  • Modelling work that began after the SARS epidemic in 2002/3 has allowed scientists to identify the way the new coronavirus infects humans
  • There are specific mutations in the current virus could potentially make it more dangerous, so it's important we look out for these
  • The same approach can be used to predict which animals could carry the virus
  • Citizen scientists are using these techniques to design potential treatments


And how close are we to this today?


The risk/benefit equation for embracing new digital technologies has been turned on its head

Photo by Dimitri Karastelev on Unsplash

Photo by Alina Grubnyak on Unsplash

An analysis of two recently published machine learning algorithms for tracing the source of food poisoning


DPhoto by Markus Spiske on Unsplash

A run-down on my first workshop introducing computer science students to antibiotic resistance prediction with ML


Machine learning is helping us discover high-risk diseases faster

Summary

  • Researchers have uncovered a new strain of salmonella resistant to all but one antibiotic available in the Democratic Republic of the Congo
  • This is part of an ongoing process of evolution, which may be spawning more dangerous strains over time
  • This evolution can be detected by a recently-developed machine learning algorithm, allowing faster detection and containment of high-risk strains


Photo by freestocks.org on Unsplash

Machine learning could solve the antibiotic resistance crisis. Will algorithms behave as well in the real world as they do in the lab?

A way to help stop the spread of antibiotic resistance


Photo: Unsplash

Recent criticism and praise of foreign aid strategies helps highlight what works and what doesn’t

Nicole Wheeler

Bioinformatician + data scientist, building machine learning algorithms for the detection of emerging infectious threats to human health

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