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:
Sample Lecture:
Program Introduction
Sample Lecture:
Program Highlights
What our Students are Saying
Researcher at Pharmaceutical Company A:
“There aren’t many training programs that cover the necessary elements for learning AI and machine learning, but I think this program was well-balanced including elements such as statistics, machine learning, and programming – upon completion I feel that I can talk to AI developers.”
Researcher at Pharmaceutical Company A:
“I came into this program without any prior knowledge, but I feel that I was able to understand the basic structure of machine learning and the examination process even though I am at a beginner level. While I still have much to learn, I am happy I took the program as it has gotten me started with AI.”
Researcher at Pharmaceutical Company B:PROGRAM CONTENT
Curriculum
The acquisition of basic knowledge
Tools needed for AI development
Getting started with Machine Learning
How to proceed with an AI project
Case Study of AI in the Medical Field
Priority 6 region to promote the AI development
Genome Analysis
Diagnostic imaging support
Diagnosis and treatment support
Drug Development
Nursing care and dementia
Surgery support
Data analysis without programming
Methods for visualization
Methods for data analysis without programming
Medical Statistics and Machine Learning
Medical statistics 101
Machine learning 101
Deep Learning 101
Analysis of foundation and medical image data of the image processing
Basis of image processing
How to detect the cell nucleus from a cell image
Handling of DICOM data
Normalization of the MRI image
Method of evaluating the performance of Medical AI
How to proceed with Medical AI project
How to use Python and JupyterNotebook
Organization and evaluation of AI result
Program Overview
Program Structure
• 3 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, exercises for self-study is provided
Location
Kyoto, Osaka or Online
Capacity
10-20 Students
※ Several companies participate in each batch
Student Profile
• Business Development Professionals at Pharmaceutical companies and Medical device manufacturers
• Research Divisions of Pharmaceutical Companies and Medical Device Manufacturers
Equipment
Students bring Mac or PC, lectures and exercises primarily using web-browsers
Prerequisite Knowledge
- No Programming experience required
- Elementary High school level Math & statistics
- Experience working with data to guide business decisions, using productivity suites such as Office
Lecturers
Takashi Someda
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.
Naoki Kitora
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.
Keiichiro Takahashi
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.
Optional Services
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.