A Data Scientist & AI Training Program Tailored for the Medical Field
Since its inception in 2014 Hacarus has been focused on providing solutions and services that help the medical field provide better, faster and safer treatments, using data science an AI.
Through our AI Academy program we enable medical device and pharmaceutical companies to learn how to use tools necessary for AI development, the basics of machine learning & statistics, legalities and assessing different AI technologies.
Over the 2-month program in project exercises, lectures and workshops, students gain hands-on experience of the full AI development cycle, from problem definition to model creation and results benchmarking using real medical data.
After Completing the AI Academy you will be able to:
Examples of AI usage in Medicine and Drug Discovery
Data Science for non-programmers: AI without coding – Excel & Google AutoML
Introduction to Python and Jupyter Netbook
Medical Statistics 101
Basics of machine learning
Deep learning and its features
Basics of image processing and analysis of medical image data
How to evaluate AI performance
AI performance evaluation methods
Step-by-Step Guide: Medical AI project conduc
Student Project Guidance & Feedback
※Course content subject to change
|Program Structure||• 5 Full Day Sessions|
• Project Length 2-months with 4 in person workshops
|Schedule||• Full Day Sessions: 10-17:00|
• Workshops: 13:00-17:00
※ In addition to in person sessions, excersies for self-study is provided
|Location||Kyoto, Osaka or Online|
|Tuition Fee||500,000 Yen / Student|
※ Several companies participate in each batch
|• Business Development Professionals at Pharmaceutical companies and Medical device manufacturers|
• Research Divisions of Pharmaceutical Companies and Medical Device Manufacturers
Students bring Mac or PC, lectures and exercises primarily using web-browsers
- No Programming experience required
- Elementary High school level Math & statistics
- Experience working with data to guide business decisions, using productivity suites such as Office
M.S of Statistics and Information Science from Kyoto University Graduate School of Informatics.
Recognized as a thought-leader globally, and frequent keynote speaker at machine learning conferences in Japan and internationally – passionate about combining business logic with novel technology to solve customer issues.
B.S. of Engineering from Kansai University. Multiple Articles Presented at Japanese Society for Artificial Intelligence and Language Processing.
With close to a decade of experience in data analysis and machine learning, and currently leading medical projects at HACARUS, Naoki brings strong real-world project management experience of applying data science to the medical field.
M.S in Computer Science from the The University of Tokyo, Graduate School of Information Science and Technology.
Strong private and academic background in bioinformatics research, including at a major medical device manufacturer as well from a research role in machine learning and data mining at the Kyoto University.
Project with Customer Data for Hands-On Project
For companies that would like their participants to use and learn from how to create AI projects from their own data, HACARUS data scientist team is able to support and guide students through the process offering online Q&A and regular face-to-face reviews including proposals for policies in the same format as project exercises.
To protect confidentiality of data companies that choose to use their own data are given the workshops separately from other participants.
Pricing subject to project scope and data complexity
Optional On-Site Training
Tailored AI ACADEMY package at customers site, offering curriculum at location of clients choice. The minimum participants for this program is 10 people. In addition to the attendance fee, additional fees such as accommodation and transportation will be charged.