Preparatory Class of Computational Biology and Statistics:
- Duration: 3 Weeks, prior to the start of the academic year.
- Content: This course offers intensive crash courses in R, statistics and Python in data science. It is designed to provide students with a solid foundation in computational biology and statistical methods.
Computational Molecular Biology of the Cell (CMBC):
- Duration: 18 Weeks
- Overview: The course explores the fundamental principles of Cell Biology and their critical applications in modern medicine and human diseases. The course is designed to provide a comprehensive overview of molecular genetic concepts, cell building blocks, organelles, regulation and cellular base for diseases. Students engage in problem-solving based on data from normal physiology and various diseases. The course includes complementary readings from "Molecular Biology of the Cell" textbook and selected chapters from "Harrison’s Principles of Internal Medicine".
Healthy Body Systems Course:
- Duration: 31 Weeks
- Overview: This course provides a detailed study of major body systems through a reductionist approach. The course emphasizes the use of advanced research tools and databases. The course covers the following human systems and topics: Cardiovascular, Respiratory, Nervous, Gastrointestinal, Kidney and Urinary tract, Endocrinology and Fertility, Hematology and Immune system, Oncology, Rheumatology and Skin system and Integrated Pathophysiology.
Sick Body Systems Course (Introduction to Clinical Medicine):
- Duration: 24 weeks
- Overview: This course focuses on patient care, emphasizing clinical manifestations, disease diagnosis and treatment integration. It covers key areas such as differential diagnosis, treatment complications, professionalism and ongoing research in medical biotechnology. Designed to equip physician-scientists with a comprehensive clinical approach, the course ensures students are well-prepared with both clinical and scientific principles to handle complex medical cases, emphasizing the practical application of clinical knowledge, helping students develop the necessary skills to effectively diagnose and manage patient care while integrating various body systems and treatments.
Longitudinal Course on Medical Research Education:
This course is designed to ensure that the PhD is not isolated from the rest of the MD studies, but rather integrated into the broader medical education experience, providing a cohesive and comprehensive learning journey.
- Duration: The course is held weekly throughout the entire MD-PhD program.
- Overview: This course spans the entire curriculum and covers topics such as communication and clinical skills, medical humanities, patient-centered care, public health, professionalism, ethics and health systems science. It integrates scientific content like molecular medicine, OMICS, data utilization, AI in practice, clinical trials and innovation and advanced technologies like wearables, robotics and automation.
- Our vision is to develop physician-researchers equipped to navigate and lead in the changing landscape of modern medicine, characterized by personalized medicine, technological advancements including artificial intelligence, and changes in patient demographics, without compromising the fundamental components of physician identity and compassion.
- The course will assist the students as they navigate through their academic and practical journey, side by side with the pre-clinical, clinical and research education from the 1st year and throughout.
Exposure and Rotations in Weizmann Laboratories:
- Overview: During the first year, students in the MD-PhD program participate in dedicated social gathering meetings with PhD students from various research disciplines (laboratories) to learn about each lab's unique research focus and culture. At the end of the first year the students will hold one week lab rotations, in two laboratories of their choice. This offers them a deeper understanding of prospective labs and helps students choose their preferred lab for PhD research.
