Data Science & Personalised Medicine

Making data-driven Personalised decisions

To impart learning in the breadth and depth of frontiers in fundamental and advanced sciences supporting medicine.

About the Program

Empowering healthcare professionals to gain knowledge of emerging technologies such as big data, machine learning, deep learning, and data sciences to make effective decisions with the goal of improving patient care.

Who Can Join

  • Doctors, Dentists, BioMedical Industry, and Healthcare Professionals (Pharmacy, Nursing).
  • Medical and Biology Students
  • IT and Biomedical Informatics

Program Benefits

Understand Data Science techniques and their applications to real-world scenarios.

  • Hands-on working sessions
  • SBV Credits & Certificates

Course Structure

  • Big Data and Data analytics in Medicine
  • Machine learning and Deep Learning, Regulatory Compliance
  • Real world Applications in Genomics, Image Analysis, Speech Recognition, Predictive Analytics
  • Hands on Workshop

Date, Contact & Fees

Start Date: June 17, 2022
Registration: May 7 to June 15, 2022
Timing: Every Friday, 19:00 to 20:00 hrs

Course Coordinators:
Dr. Veni S,
MGMARI Scientist,
 [email protected]
+91 99431 86494

Ms. Sujini
CSO – Product Development
Optimal Oncology

[email protected]
+91 90949 39291 

Fees:
SBVU students and Faculty: Rs. 5,000/-
Others: Rs. 10,000/

Note: Registration will be confirmed only when the payment is done.

Registration Fee Payment

SBV Student and Faculty

Other Institution

Note: Do the payment by clicking the respective button. After successful payment, it will direct to the registration form. Kindly fill out and submit the registration form.

Knowledge Partner

Optimal Oncology

Optimal Oncology Private Limited, is a cancer Medtech company up with a mission to set up AI & Omics enabled Asset-Light Comprehensive Cancer Treatment Centers in rural areas. We are developing a clinical decision support system called “Naiomi” (Novel AI & omics) for oncologists to facilitate precision cancer diagnosis and evidence-based treatments, ensuring improved treatment outcomes at an affordable cost for patients.

Our Brochure