● The scientific basis, concepts, and language needed to communicate effectively with bioinformaticians, statisticians and data scientists

● First-hand experience in a computational analysis in the practice sessions

● An opportunity to conduct your own basic research (utilizing existing tools, not programming new ones)

● Sufficient background to enable further studies, research, or training towards a career in this field

● And ultimately, the ability to provide better and more personalized medicine for your patients

Units:

Week 1: The Data Revolution in Medicine

Description of medicine as a data driven science, and discussion of new approaches to identify or design drugs optimized for specific patients and disease characteristics. We will discuss the medical revolution that combines genomic information and machine learning techniques.

Week 2:Biological Sequence Analysis

Overview of biological sequences, how we compare pairs of sequences, perform multiple sequence alignment, and how to construct phylogenetic trees.

Week 3:Biological Databases and How to Search Them

Description of sequence databases, and introduction to BLAST, which is the main tool used to search in such databases. Then, we will mention additional genomic databases with clinical applications, and describe the UCSC genomic browser that is used for viewing multiple layers of genomic information.

Week 4: Next Generation Sequencing

Description of the technology used in Next Generation Sequencing, the computational analysis involved, and medical applications of the technology.

Week 5: Medical Machine Learning

Analysis of non-genomic types of medical data, such as those stored in Electronic Medical Records (EMRs). Harnessing modern machine learning algorithms to make sense of this data “jungle”, enable early detection and diagnosis, predict treatment outcome, and more.

Week 6: Artificial Intelligence in Medicine

Overview of today’s cutting edge technologies that strive to simulate the capabilities of human experts for medical purposes. These technologies include natural language processing, interpretation of medical images, development of decision support systems, and more.

Week 7: Systems Biology

Understanding biological systems as a dynamic network of interacting molecules. Application of this concept to rational drug design and the identification of disease biomarkers.

Week 8: Human Genomic Variations
The source of variations in the human genome and how we can predict the clinical implications of such variations. Consequences of such variations in monogenic and complex disease.

Week 9: Cancer as a Genomic Disease

Viewing cancer as a disease of the genome of each patient, from genetic predisposition to somatic mutations acquired later in life. Utilization of these concepts in immunotherapy.

"Being introduced to the field of medical data mining through the GaBI program has had a major impact on my career. It allowed me to utilize computational tools developed for complex financial and commercial scenarios to solve clinical dilemmas."

- Roni Shouval, M.D.

"I never expected this program to be so interesting. I used to often send my boss articles and ask him to collaborate with me. Now, after I attended GaBI, my boss sends me articles! I highly recommend this course."

- Guy Zehavi, M.D.

"I came from the industry. I am grateful for every minute I spent attending the GaBI program. It changed my life and I recommend it to everyone I know. Even when I negotiate deals with international companies, I now have a better understanding of what to look for."

- Avivit Raz, M.Sc.

"The GaBI program is great! The content was fascinating, the technology was relevant, and the staff was amazing!"

- Eran Ashwal, M.D.

"This was a wonderful surprise. Needless to say, the material was challenging, but I succeeded. GaBI really made me activate more neurons than ever!"

- Maisam Shehab, M.D.

"The program is very intense but very interesting. A few months ago I thought about going into research, and now, thanks to GaBI, I am thinking of pursuing a PhD.

- Ofer Raz, M.D.