Sofonias K Tessema Profile
Sofonias K Tessema

@sofoniaskt

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Program Lead @AfricaCDC @AfricaPGI Alum @WEHI_research @UniMelb @EPPIcenter_UCSF 🧬Passionate in science and capacity building in Africa🧬

Addis Ababa
Joined April 2013
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@nsanzimanasabin
Dr Sabin Nsanzimana
12 days
Rwanda’s Akagera National Park 🇷🇼 @AkageraPark has been named one of @NatGeo’s Best Destinations in the World 2026 🌍✨. A proud recognition of Rwanda’s natural beauty and conservation excellence.🦁 🦏 🐘 🐆 🐃🌿 #VisitRwanda #Akagera #NatGeo
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nationalgeographic.com
From a legendary Alpine range to a less-traveled but no less stunning alternative to the Mediterranean, here are the year’s must-visit destinations, handpicked by National Geographic’s editors,...
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@sofoniaskt
Sofonias K Tessema
2 months
እንኳን ደስ አለን!!
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@sofoniaskt
Sofonias K Tessema
2 months
Another testament for Africa’s growing genomics capacity
@labgenpath
Pathogen Genomic Lab - INRB
2 months
The 16th Ebola Virus Disease Outbreak in Bulape Health Zone, Kasai, DRC. We were able to generate an accurate consensus genome in less than one hour starting from the library preparation. The newly EBOV genome is 99.97% complete and consists of 18,819 nucleotides.
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@sofoniaskt
Sofonias K Tessema
2 months
9/With AI, the continent can leap into a future of real-time outbreak detection, personalized medicine, and stronger health systems. The time to act is now. #Genomics #AIinAfrica #AfricaCDC
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@sofoniaskt
Sofonias K Tessema
2 months
8/ AI presents a leapfrogging opportunity to address workforce shortages, data infrastructure gaps, and fragmented systems. However, its implementation requires substantial investment in local tools, data systems, governance, and training.
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@sofoniaskt
Sofonias K Tessema
2 months
7/ Algorithmic bias is a real concern. 65% worry about bias in AI models trained on non-African data. With <1% of global human genomes from Africa, this underrepresentation risks inequitable outcomes.
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@sofoniaskt
Sofonias K Tessema
2 months
6/ AI is trusted—but not yet fully used. Most respondents see AI’s value in: ✅ Data analysis (84%) ✅ Early disease detection (82%) ✅ Diagnostic accuracy (80%) But fewer see it helping with admin tasks like reporting or resource allocation. This may need further investigation
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@sofoniaskt
Sofonias K Tessema
2 months
5/ Barriers to AI adoption in genomics labs are systemic and multifaceted. 78% of labs lack training programs, 60% face high costs, 70% encounter infrastructure gaps, and 60% deal with regulatory inconsistencies. These challenges collectively hinder the widespread adoption of AI
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@sofoniaskt
Sofonias K Tessema
2 months
4/ Training is the missing link. 🔹 90% want AI training 🔹 Only 6% have received any 🔹 Just 0.8% completed formal AI courses 🔹 Top interests: data analysis, predictive modeling, machine learning, ethics
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@sofoniaskt
Sofonias K Tessema
2 months
3/ AI could be a game-changer by filling critical analytic gaps. AI enables rapid data analysis, outbreak forecasting, and real-time pathogen tracking. Yet only 4% of surveyed experts are highly familiar with AI in genomics. The potential is huge—but the skills gap is wider.
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@sofoniaskt
Sofonias K Tessema
2 months
2/Genomics capacity is growing rapidly. In 2019, only seven countries had genomics labs, but by 2025, that number has increased to 46. Africa has seen an expansion of local genomics labs, which has helped detect new variants like clade Ib mpox.
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@sofoniaskt
Sofonias K Tessema
2 months
1/ A new continent-wide survey led by @AfricaCDC explores awareness, adoption, and barriers to AI use in genomics across 46 AU Member States. Here's what we found. 👇 #AIinAfrica #Genomics https://t.co/kUn3xLPTrx
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@MichelSidibe
Michel Sidibé
5 months
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@sofoniaskt
Sofonias K Tessema
5 months
Connectivity is critical to unlock the potential of genomics in Africa. #AfricaPGI’s pilot project, supported by the @gatesfoundation, has already demonstrated the impact of connecting genome sequencing labs with @Starlink satellite internet in Africa. Let’s scale this impact!
@ASLM_News
ASLM
5 months
The National Tuberculosis Reference Laboratory (NTRL) in Eswatini has transformed its public health response through the deployment of Starlink high-speed internet. This upgrade has reduced genome sequencing turnaround times from several weeks to under seven days, enhancing both
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@sofoniaskt
Sofonias K Tessema
5 months
📣 Governments and public health institutions must invest in people - attracting, training, and retaining talent. A resilient, fit-for-purpose, and fit-to-practice workforce in genomics and bioinformatics is a front-line defense against future pandemics. #AfricaCDC #AfricaPGI
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@sofoniaskt
Sofonias K Tessema
5 months
We deeply appreciate the tireless efforts of all training institutions that hosted the trainings and the dedicated trainers who worked relentlessly to make these programs a success. Your commitment is the backbone of Africa’s genomics future. #Gratitude
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@sofoniaskt
Sofonias K Tessema
5 months
#AfricaPGI is a multi-sectoral partnership implemented in collaboration with @ASLM_News and @AfricaPHF and supported by the @_AfricanUnion, @gatesfoundation, @MastercardFdn, @EC_HERA, @AfDB_Group, @illumina, @WorldBank, @FINDdx, @CEPIvaccines, and many others.
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@sofoniaskt
Sofonias K Tessema
5 months
Integrating genomics and bioinformatics into university curricula, providing certifications, and creating fulfilling jobs are essential. Early exposure through summer schools, open days, internships, and inclusive training hubs can inspire future generations. #JobCreation
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@sofoniaskt
Sofonias K Tessema
5 months
For genomics to thrive and scale up in Africa, foundational barriers to attracting, training, and retaining talent must be addressed.
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@sofoniaskt
Sofonias K Tessema
5 months
🌍 Sustaining this workforce is not just a health issue—it's a development imperative. Genomics is transforming outbreak response, antimicrobial resistance tracking, and health equity across Africa and around the world. #GlobalHealth
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