Transforming Biomedical Data into Insights with R and Machine Learning
Machine learning (ML) is a branch of artificial intelligence (AI) that concentrates on creating algorithms and statistical models that allow computer systems to learn from data and make predictions or decisions. Essentially, it is a discipline where computers are trained to carry out tasks without the need for explicit programming for each individual task. Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) technology have led to significant progress in predicting and identifying health emergencies, disease demographics, and immune responses, among other areas. However, there is still skepticism about the practical use and interpretation of outcomes from ML-based methods in healthcare environments, even as the adoption of these methods rapidly increases.
In this workshop, we present a concise summary of machine learning techniques and algorithms, which encompass supervised, unsupervised, and reinforcement learning, complete with examples. Additionally, we explore the use of machine learning in the biomedical sector to gain insights into disease prevalence and diagnosis.
The aim is to assist bio-medical scientists and medical professionals by identifying and summarizing meaningful patterns from large datasets.
This workshop intends to provide an arena for students, faculty and researchers in discussing the following topics as well as to provide hands on training.
Day 1: Introductionto ML/AI and its Foundational Principles
Day 2: R studio and Bioconductor packages
Day 3: Biomedical Data analysis and Machine Learning
March 18, 2025
IST 12:00 PM
March 18, 2025 – March 20, 2025
IST 10:00 – 11:30 AM
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
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Registration open
Live, mentor-led and certified. Dates and times in IST.
