Biotechnology student documenting my journey in science.
Part 8 of the series: Exploring how Artificial Intelligence can predict reproductive outcomes by uncovering biological patterns hidden within thousands of molecular signals.
Part 7 of the series: Exploring the biological questions that can be explored using organoid systems, from hormone response modeling to personalized medicine.
Part 6 of the series: Exploring the biological questions that can be explored using organoid systems, from hormone response modeling to personalized medicine.
Part 5 of the series: Exploring the experimental process of how organoids emerge through cell isolation, 3D matrix embedding, and controlled self-organization.
Part 4 of the series: How organoids serve as 3D living models to bridge the gap between molecular signals and functional tissue-level understanding.
Part 3 of the series: Exploring how molecular signals and gene expression patterns in menstrual blood reveal hidden layers of biological information.
Part 2 of the series: Understanding the complex molecular composition of menstrual fluid and its potential as a dynamic biological dataset.
Exploring the reproductive system through the lens of data science and bioinformatics.
How bioinformatics transforms enormous volumes of biological data into meaningful insights about health, disease, and the complexity of life.
Reflections on completing my hands-on practical training in chemical and instrumental methods of drug analysis at FDA Jabalpur.
Biotechnology student at St. Aloysius College. Interested in DNA and Computational Reproductive Biology. Intern at FDA India.