Panel 2 at #AIinHealthAfrica is paving the way for a robust AI ecosystem in Africa. Join us as we discuss infrastructure, policy, skills development, and collaboration. Every element counts! 🌍💡@AI_HealthLabMak Youtube Link: https://t.co/4DRVwoBfQO
Our second panel at #AIinHealthAfrica conference is focused on the essential elements needed to create a thriving AI ecosystem in Africa.
Including;
Infrastructure, Policy frameworks, skills devt & cross sector collaboration.
🔗-https://t.co/4NOdyswY3u
We are looking for our IndabaX 2025 hosts ! 🌟
The IndabaX is a locally-organised Indaba that helps spread knowledge and builds capacity in Machine Learning and Artificial Intelligence in individual countries across Africa.
It is a way to experiment with the ways in which we can strengthen our ML community, and to allow more people to contribute to the AI conversation across our continent.
Submit your application to Host an IndabaX event in your country now 👉https://t.co/7EtH5XXenj
Key Dates:
Deadline to submit your application: 20 December, 2024
Notifications: 15 January, 2025
For more info, check our website page: https://t.co/5MWLalpSel
Diving deep into the role of AI in advancing healthcare in Africa at the #AIinHealthAfrica conference. Incredible insights on addressing infectious diseases, maternal health, and more. Don't miss out! 🌍🔬 @AI_HealthLabMak
Addressing Africa's Healthcare Challenges with AI
Our first panel at #AIinHealthAfrica delved into the power of AI to tackle critical issues such as infectious diseases, maternal health, and healthcare disparities.
🔗-https://t.co/Ch9NmiqW2V
Attending the AI in Health Africa Conference,the Conference Chair Rose Nakasi,PhD from @MakCoCIS emphasizes the importance of multidisciplinary AI engagement
Great insights from Dr. Rose Nakasi at #AIinHealthAfrica conference.
She emphasized the importance of bridging the gap between research & implementation. While research is essential, a supportive ecosystem is crucial to translate these findings into real-world impact.
Solomon Nsumba, the Technical Team Lead at @Makerere AI Health Lab, presented Ocular at the #AIinHealthAfrica this morning. Ocular is an AI-powered point-of-care tool for diagnosing Malaria, TB, and Cervical Cancer. Technology is disrupting everything & Ugandans aren’t sleeping.
Generative AI plays a crucial role in surveying infectious diseases, particularly during pandemics, such as malaria. It allows clinicians to gather an overall picture of the disease, allowing for more accurate diagnosis.
@Makerere@MoICT_Ug@MinofHealthUG#AIinHealthAfrica
@MakCoCIS in collaboration with the @MinofHealthUG and the @MoICT_Ug is inviting you to the Inaugural #AIinHealthAfrica Conference.
Venue: Imperial Royal Hotel - Kampala
Time: 9:00 AM – 5:00 PM
Online Registration Link: https://t.co/628uV2p0k6
More at: https://t.co/RGvf9QyDlV
Our first panel session: Addressing Africa's healthcare needs through AI will explore how AI is being leveraged to tackle key healthcare challenges, including infectious disease outbreaks, maternal and child health issues, and disparities in healthcare access across communities.
Africa's unique healthcare challenges demand innovative AI solutions. Let's discuss the infrastructure, policy, skills, and collaboration needed to build a sustainable AI ecosystem at #AIinHealthAfrica
Join virtually: https://t.co/b0ar9rlV4k
Tomorrow's the big day!
We're excited to be part of the #AIinHealthAfrica Conference.
Our team will be sharing how we've used AI to support lab technicians in disease diagnosis decisions
Almost a year on, we we can't wait to show you what we've achieved.
#AIforGlobalGoals
Great start to #AIinHealthAfrica!
Our technical lead, @snsumba, shared the incredible journey of Ocular over the past year.
He highlighted our progress in enhancing the accuracy of our AI models for malaria, cervical cancer & TB diagnosis, especially in real-world settings.
🚀Excited to announce that Denish Azamuke, a Google PhD Fellow at @MakCoCIS, will be joining us at #DSAU#DSAU2024FortPortal! 💡🌍Don’t miss the chance to connect with bright minds!
Join us as we discuss the role of microscopy in TB diagnosis, especially in resource-limited settings.
Plus, explore recent advancements in the TB diagnostic pipeline and the potential of AI in this fight.
🔗- https://t.co/7nyqD0YxZn