Challenges in medical AI Lecture Series

Welcome to Nucleai Academy

Spatial Biology is revolutionizing the way we understand and treat cancer.  At Nucleai, we see the importance of building a strong community of researchers, scientists, and developers passionate about learning and problem-solving who will come together to share knowledge, nurture new ideas, and make tangible contributions toward curing cancer.

Towards that end, we are happy to inaugurate the Nucleai Academy where health tech professionals can join our partners and experts to discuss topics ranging from Statistics to AI and Immunology. 

In our first 6-part lecture series,  we will discuss how to meet a myriad of challenges in medical AI – from small sample statistics to medical annotation scarcity to dimensionality reduction. 

We invite you to participate, share knowledge and join us in the fight against cancer.

Challenges in Medical AI Lecture Series:

Reserve your seat at the Nucleai Academy lecture series

  • Space is limited. Attendance confirmation will be sent to your email.
Lectures will take place at Nucleai offices in Tel Aviv

4 Ein Zeitim Street, Tel Aviv

MEET OUR Lecturers

Noah Dolev

Senior Data Scientist 
(AI Engineer)

Nucleai

Ora N. Fandina

Algorithms Researcher & Developer

Postdoctoral Researcher Aarhus University

Becky Arbiv

Machine Learning Engineer

Nucleai

Inbal Horev

NLP Team Lead 

Gong

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