Biomedical Data Science
Understand the complexity of genetic-sequencing, data analysis and use of artificial intelligence modelling.
Curriculum
An introduction to genomics, genetic-sequencing, data analysis and to study biological problems such as cancer, neurodegenration, aging, obseity etc. This course will provide an overview of various databases, tools, algorithms that are state of the art. Studying DNA, RNA, miRNA, and protein from the same sample can lead to the multi-omic analysis and thereby provide the molecular basis of biological questions.
Advanced imaging is part of common clinical practice and wearable devices are collecting patient data in electronic format. All such collected data can help understand the causes leading to various diseases and thereby identify solutions.
Highlights
- What is Big Data and Data Science in Biomedical sciences
- What is DNA sequencing and what are omics technologies
- What are the free resources (web tools and databases)
- Algorithms and Data analysis
- How is image recognition and Artificial intelligence relevant to biomedical science
- How do you imply powerful computational and statistical methods in understanding biology and long standing questions?
- How can wearable devices revolutionize healthcare
- Digital image analysis & data mining
Resources
State of the art online web-tools and datasets with database access.
Career counselling about an increasingly wide range of available careers, including research(academic & Pharmaceutical company based), teaching, Medical practitioners to name a few.
Activities & Credits
Poster Making
Students learn to make high quality science posters & hone their presentation skills.
Report/Paper
Learn to draft scientific write-ups with clear and convincing narratives.
Certificates
Outstanding students also get opportunities for long-term projects with mentors.
Data Science
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