Data Science and AI in Healthcare

#engineering #AIinHealthcare #technologies #ieeeseku#ieeeku #ieeeembs #biomedical #WIE
Share

🚀 IEEE EMBS SEKU & IEEE EMBS KU Joint Virtual Symposium 🚀
🔬 The Revolutionary Role of Data Science & AI in Healthcare 🔬

Stay ahead in the evolving world of AI & Healthcare! #AIinHealthcare #IEEEEMBS

The IEEE EMBS SEKU and IEEE EMBS KU proudly present a joint virtual symposium focused on the revolutionary role of Data Science and Artificial Intelligence (AI) in Healthcare. This event aims to bring together researchers, healthcare professionals, data scientists, and students to discuss cutting-edge advancements, challenges, and opportunities at the intersection of AI and medicine.

AI and Data Science are transforming the healthcare landscape—from AI-driven diagnostics and predictive analytics to personalized medicine and drug discovery. This symposium will feature keynote speakers, panel discussions, and research presentations, providing insights into how these technologies are shaping the future of healthcare.


  Date and Time

  Location

  Hosts

  Registration


  • Date: 07 Mar 2025
  • Time: 05:00 PM UTC to 06:00 PM UTC
  • Add_To_Calendar_icon Add Event to Calendar
If you are not a robot, please complete the ReCAPTCHA to display virtual attendance info.
  • Contact Event Hosts
  • Starts 01 March 2025 09:00 PM UTC
  • Ends 07 March 2025 04:00 PM UTC
  • No Admission Charge

  Speakers

Mr. Antony

Topic:

Data Science and AI in Healthcare

Biography:

Mr. Antony M. Gitau is a biomedical engineer and data scientist passionate about applying AI to healthcare challenges. He is a Google DeepMind Scholar pursuing an MSc in Artificial Intelligence for Science. His experience spans research at DSAIL, data science internships, and open-source contributions in machine learning and healthcare applications. Antony actively participates in AI conferences and hackathons, showcasing his dedication to technological innovation and community engagement.

Email:

Address:Nairobi, Kenya

Mr. Hempel

Topic:

The Role of IEEE EMBS in University Research & Healthcare Technology

Biography:

Philip Hempel is a researcher in the field of cardiovascular science under the supervision
of Dr. Nicolai Spicher at the Georg-August University of Gottingen, where he is pursuing
a PhD with a focus on the intersection of artificial intelligence and clinical practice.
He holds an M.Sc. in Biology from the Technical University of Braunschweig, where he
specialized in Bioinformatics.
Philip’s transition from a decade-long career as a paramedic and EMT to academic
research reflects a strong commitment to understanding real-world medical challenges. His
professional background provides him with unique insights into the operational dynamics of
medical settings, which he applies to his current research.
His scholarly work is primarily concentrated on applying neural network technologies
to improve diagnostic accuracy and patient outcomes without supplanting the critical role of
human judgment in clinical decision-making. This involves developing transparent AI tools
that support, rather than replace, medical professionals, addressing both the potential and
the limitations of AI in healthcare.

Email:





📧 For Inquiries: martinkamau@ieee.org 

Let’s shape the future of AI & Healthcare—Together! 🚀🔬


  Media

Screenshot__272_ 1.05 MiB
Screenshot__271_ 687.41 KiB
Screenshot__270_ 490.95 KiB