Mike Nsubuga (@mikensbg) 's Twitter Profile
Mike Nsubuga

@mikensbg

The real hidden treasures are the friends we made along the way

ID: 2797797752

linkhttps://mikensubuga.github.io/ calendar_today08-09-2014 12:10:48

35 Tweet

109 Followers

136 Following

Elon Musk (@elonmusk) 's Twitter Profile Photo

Just looked at my wiki for 1st time in years. It’s insane! Btw, can someone please delete “investor”. I do basically zero investing.

jack (@jack) 's Twitter Profile Photo

I’m moving $1B of my Square equity (~28% of my wealth) to #startsmall LLC to fund global COVID-19 relief. After we disarm this pandemic, the focus will shift to girl’s health and education, and UBI. It will operate transparently, all flows tracked here: docs.google.com/spreadsheets/d…

Infectious Diseases Institute, Makerere University (@idimakerere) 's Twitter Profile Photo

Ever wondered how virtual reality works? Are you interested in getting to know how Virtual Reality is being applied to train health workers in handling COVID-19 patients? Join us on 30th April 2021. Register here: tinyurl.com/25upwz2k

Ever wondered how virtual reality works? Are you interested in getting to know how Virtual Reality is being applied to train health workers in handling COVID-19 patients?
Join us on 30th April 2021.
Register here: tinyurl.com/25upwz2k
Gerald Mboowa (@geraldgmboowa) 's Twitter Profile Photo

Our work was published in BMC Genomics' AMR: Genes, Genomes & Emerging Technologies' collection! 'Generalizability of machine learning in predicting antimicrobial resistance in E. coli: a multi-country case study in Africa' sheds light on ML's role in understanding AMR

Mike Nsubuga (@mikensbg) 's Twitter Profile Photo

Our work assessing machine learning's efficacy in predicting AMR across African genomic datasets is out. Promising findings for LMICs with limited genomic data and high #AMR burden. Thanks Infectious Diseases Institute, Makerere University @NIAIDBioIT EANBiT & OSG Consortium for compute. bit.ly/4cdZcB3

Our work assessing machine learning's efficacy in predicting AMR across African genomic datasets is out. Promising findings for LMICs with limited genomic data and high #AMR burden. Thanks <a href="/IDIMakerere/">Infectious Diseases Institute, Makerere University</a> @NIAIDBioIT <a href="/EANBiT_Project/">EANBiT</a>  &amp; <a href="/osg_htc/">OSG Consortium</a> for compute. bit.ly/4cdZcB3
Ronald Galiwango, PhD (@galiwangor) 's Twitter Profile Photo

We explored the generalizability of ML in predicting AMR using E.Coli genomes from England & validated the models using an independent dataset from Africa. ACE Bioinformatics & Data Sciences, Infectious Diseases Institute, Makerere University, @NIAIDBioIT, CAMO-Net bmcgenomics.biomedcentral.com/articles/10.11… Well done Mike Nsubuga, Daudi Jjingo & Gerald Mboowa .

Mike Nsubuga (@mikensbg) 's Twitter Profile Photo

We’ve established the largest and most comprehensive sickle cell disease longitudinal registry in Uganda, currently operating in 4 regional referral hospitals with more to come, to support data-driven research efforts in the area. This registry is already supporting several

We’ve established the largest and most comprehensive sickle cell disease longitudinal registry in Uganda, currently operating in 4 regional referral hospitals with more to come, to support data-driven research efforts in the area.   

This registry is already supporting several
Jean Golding Institute (@jgibristol) 's Twitter Profile Photo

“Joining Ask-JGI opened a door to a dynamic world brimming with ideas and innovations.” Read more about first year PhD student, Mike Nsubuga's Mike Nsubuga experience working for Ask-JGI (2023-2024) here: tinyurl.com/3fbwyk6z

“Joining Ask-JGI opened a door to a dynamic world brimming with ideas and innovations.”

Read more about first year PhD student, Mike Nsubuga's <a href="/mikensbg/">Mike Nsubuga</a> experience working for Ask-JGI (2023-2024) here: tinyurl.com/3fbwyk6z
Mike Nsubuga (@mikensbg) 's Twitter Profile Photo

Last week, I presented our work at the AMR One Health Conference by Fondation Mérieux in France. I shared how machine learning can support genomic surveillance of AMR in low-resource settings. Lots of amazing talks from speakers & great audience! More in paper: doi.org/10.1186/s12864…

Last week, I presented our work at the AMR One Health Conference by <a href="/MerieuxFdn/">Fondation Mérieux</a> in France. I shared how machine learning can support genomic surveillance of AMR in low-resource settings. Lots of amazing talks from speakers &amp; great audience! More in paper: doi.org/10.1186/s12864…
Sandra Babirye Ruth🧩👨‍💻🧬 (@babiryesandra99) 's Twitter Profile Photo

Our recent study assessing Machine Learning prediction of antimicrobial resistance (AMR) in MTB isolates from Uganda using genome and clinical data is out. Our findings provide promising insights to combat the AMR burden in LMICS. #AMR #Machinelearning

Our recent study assessing  Machine Learning prediction of antimicrobial resistance (AMR)  in  MTB isolates from Uganda using genome and clinical data is out. 

Our findings provide promising insights to combat the AMR burden in LMICS. 
#AMR 
#Machinelearning
Gerald Mboowa (@geraldgmboowa) 's Twitter Profile Photo

A pioneering study is using metagenomics to uncover hidden pathogens in HIV-infected children with non-malarial febrile illness(bit.ly/4aEq10Q). Could this be the key to better diagnostics in resource-limited settings? 👉edctp.org/project/advanc… #Genomics #Diagnostics