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Pharmacist in Training • Young Researcher • Artificial Intelligence.
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John Olaseyinde is an aspiring pharmaceutical scientist with a strong interest in AI applications in healthcare. He is focused on how Artificial Intelligence can revolutionize drug discovery and patient health care. Beyond school, John is a natural leader committed to team building and collaborative growth. He is actively seeking to connect with innovators at the intersection of healthcare, technology, and research to build the future of medicine.
LinkedIn export · Oct 14, 2026 – Oct 20, 2026 · Provided by the creator, not independently verified by Naano
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Public X data · Captured Oct 20, 2026
Nothing has taught me patience like doing a course on bad network reception. I started in mid-September and have just earned the Introduction to Agents certification from Mercor, after a rigorous project defense. The course covers how AI agents work: how they plan, use tools, and carry out multi-step tasks without someone prompting every move. I've been working on AI evaluation and automation work alongside pharmacy, so this fills in the theory behind a lot of what I already deal with in practice. My biggest takeaway is that an agent is only as reliable as the way you test it. That matters even more in healthcare, where a wrong output can affect a patient. Verify here: https://lnkd.in/e2h7_c_6
Three new things and one big question mark have been competing for my attention this break, and none of them wanted to lose. I recently finished my fourth year of pharmacy school at Obafemi Awolowo University and I am currently on sessional break, though my brain has not really taken one. Final year is next, and I am genuinely hopeful. My research has continued through the break. I am working on a study looking at how ready patient data in Nigeria actually is for artificial intelligence and machine learning, not the usual conversation about why adoption is slow, but the harder question underneath that: is the data even organized well enough to be useful to a model in the first place? That question does not get asked nearly as often as it should. The study is still being written, and I genuinely cannot wait to put the findings out for people to see. Two new responsibilities have also come up recently. I was appointed Campus Director for the AI Student Campus Initiative (ASCI) at Obafemi Awolowo university, working on artificial intelligence literacy, which mostly means helping students get comfortable with these tools before they are forced to catch up on them later. I also became Director of Publicity for the Young Researchers' Hub, OAU, where I work on how our research gets communicated and how the hub itself is seen and perceived by the general public. I am John Olaseyinde, a pharmacy student building at the intersection of AI and Healthcare/Pharmacy. If any of this overlaps with something you are working on, send me a message. #AIinHealthcare #PharmacyStudent #HealthTech #AI #EarlyCareerResearcher
Last week, Redeemers Health Village (RHV) worked with Robomed Global and Nisa Premier Hospital in Abuja to carry out what is being called West Africa's first tele-robotic surgery. Professor Obi Davies Ekwenna, M.D. FACS sat at a robotic console at RHV in Mowe and removed a cancerous kidney from a patient 500 kilometres away in Abuja, through a Toumai robotic system. It took about three hours. The patient is reported to be doing well. I have read a version of this story before, and it usually ends with a line about how far Nigeria still has to go. This one does not read like that. This one reads like something actually happened. And it made me think about something I have been working on for the past few months. Everyone likes to talk about whether Nigeria is ready to adopt AI in healthcare. Fewer people ask a quieter, more uncomfortable question: is the data behind our healthcare system even structured well enough to support any of this? A robot can be flown in. A surgeon can operate from another state. None of that works long term if the patient records underneath it are a mess. Half of them still live on paper. The rest are scattered across systems that were never built to talk to each other. That has been the research I have been spending my time on. Not whether Nigerians want AI in healthcare. Whether the foundation for it actually exists yet. Surgeries like this one prove the ambition is real. Whether the records behind our health system can keep pace with it is a different question entirely.
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John Olaseyinde is a B2B LinkedIn creator based in Nigeria with 1,098 followers, posting about AI, HealthTech, and Web3 / Crypto. On Naano, one sponsored LinkedIn post by John Olaseyinde costs €382, a fixed price per post. A sponsored X post costs €382.
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