A data community for healthcare professionals. Learn, build, contribute and network. YT channel: https://xitter.gq/t.co/Lr7MOoDJk0
Joined April 2024
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Afiadata retweeted
Today we dove into the Ethics of drug discovery in Africa.
Half of the pharmacy stuff flew over my head, nili compensate hapo kwa Ethics and data sovereignty ata hawakuamini.
For a deep dive on some of these concepts check out our blogs at afiadata.org/posts
@afiadata_ke
Afiadata retweeted
This year, we are converting a few more people to suffer with us in the research space 😂
Find us at this corner where we talk about medicine, data and other research related stuff. @afiadata_ke youtube.com/@afiadatake?si=d…
Afiadata retweeted
PPB has introduced guidelines for Software as a Medical Device to regulate emerging digital health technologies.
Afiadata retweeted
6 years of med school prepare you for clinical work, but what about industry and academia? Different ball game. At @afiadata_ke, we explore how to navigate this using data science as a skill set.
Afiadata retweeted
academic conferences are crazy because it’s like Let’s go to the most beautiful place in the world and then look at powerpoints for 12 straight hours – at Notre-Dame-des-Anges, Québec
Afiadata retweeted
1/3..KNH has officially begun its transition to automation with the launch of the Afya Apex HMIS/ERP system under Taifa Care, set to go live on March 20, 2026. Led by Dr. Richard Lesiyampe and Eng. Anthony Lenayara, the launch featured a successful pilot demonstration from
Afiadata retweeted
Cardiologist wins 3rd place at Anthropic's hackathon. Out of 13,000 applications. Built in 7 days by Michał Nedoszytko MD. Coded day and night - in the hospital, in the cloud, while flying from Brussels to San Francisco.
A few years ago, it would have been impossible for a doctor to build this alone in just a couple of days. AI changed that.
The project is called postvisit.ai. It is an AI agentic care platform for patients. Including reverse AI scribe it is a companion that guides the patient from the moment they leave the doctor's office.
Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place.
Today, the barrier to entry has vanished; even a practicing physician can build an application from scratch.
Afiadata retweeted
In today’s guest blogs, Afiadata’s @MuseMunga talks about the importance of interoperability of the country’s HMIS in achieving UHC
Afiadata retweeted
This year, @afiadata_ke clinched first place at the AKU Early Career Health Researchers Conference.
We run 'Data Clinic' sessions where we discuss the potential use of emerging data science and AI workflows in healthcare research.
aku.edu/news/Pages/News_Deta…
Afiadata retweeted
Kenya is hosting the Seventh Biennial Scientific Conference on Medical Products Regulation in Africa (SCoMRA VII) — a milestone platform advancing regulatory excellence, innovation, and health sovereignty across the continent. 🇰🇪💊
Read key highlights and insights in the official SCoMRA VII newspaper supplement below. 👇
#SCoMRA2025
Afiadata retweeted
Neural Algorithmic Reasoning aims to make neural networks learn and execute classical algorithms like sorting, graph traversal, or optimization. By embedding algorithmic structure within neural models, they combine reasoning with pattern recognition. In deep learning, this improves generalization on structured data such as graphs. Real-life uses include route optimization, program synthesis, and decision-making in logistics or automated planning systems.
Image: share.google/kftqd6VHQB7TWuW…
Afiadata retweeted
So my PhD is in Cancer Sciences.
If you're curious about applied NLP/AI in medicine, the pattern is patient/data before algorithms.
E.g., patient engagement, ethical approval, secure programming environments, survival analysis, real-world evidence, clinical nuances.
Afiadata retweeted
Kenya will partner with the Africa Medicines Agency (AMA) to fast-track the registration and approval of pharmaceutical products, in a move aimed at enhancing access to safe, effective, and quality-assured medicines for the public.
The announcement was made by Pharmacy and Poisons Board (PPB) Acting Chief Executive Officer, Dr Ahmed Mohamed, during the Pre-Conference Industry Day of the 7th Biennial Scientific Conference on the Regulation of Medical Products in Africa (SCoMRA VII), held in Mombasa on 11th November 2025.
Dr Mohamed said the collaboration will strengthen Kenya’s regulatory capacity and shorten approval timelines for essential medicines, ensuring patients access life-saving products more efficiently.
“We intend to cooperate with the Africa Medicines Agency to fast-track registration of pharmaceutical products so that we can have them on the market sooner for the benefit of the public,” he stated.
He added that the Board has already begun harmonising pharmaceutical documentation to align with continental standards a key step towards enhancing efficiency, transparency, and regional collaboration in health product regulation.
Africa Medicines Agency Director General, Dr Delese Mimi Darko, who also addressed the forum, underscored AMA’s commitment to supporting local pharmaceutical manufacturing across Africa. She noted that increased regional production will improve access to safe, affordable, and high-quality medical products, while reducing dependence on imports.
The SCoMRA VII Pre-Conference Industry Day convened regulators, policymakers, manufacturers, researchers, and development partners from across Africa and beyond to discuss innovative approaches to strengthen and harmonise medical products regulation.
The week-long conference continues in Mombasa under the theme “Strengthening Regulatory Systems for Access to Quality, Safe, and Efficacious Medical Products in Africa,” highlighting continental progress in advancing health sovereignty through regulatory excellence.
Afiadata retweeted
We have taken note of your growing influence in the wellness/fitness space & acknowledge the positive impact you are making... While we believe you intend to inform & help, such communication unfortunately falls within the promotion of prescription medicines, which is prohibited.
This quoted post is unavailable.
Afiadata retweeted
The rank of a matrix is the number of linearly independent rows or columns. In statistics and ML, it measures the intrinsic dimensionality of the data. A low-rank matrix indicates multicollinearity, where some features are redundant. This concept is vital for dimensionality reduction techniques like PCA and for building stable regression models.
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Afiadata retweeted
Maximum Likelihood Estimation (MLE) is a method for estimating a statistical model's parameters by finding the parameter values that make the observed data most probable. It's a fundamental principle for training models like Logistic Regression and is widely used in real-life applications, including estimating the effectiveness of a medical treatment or modeling stock market behavior.
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