BDG LifeSciences is a distinguished bioinformatics company established in 2010 and operates globally. Headquartered in India the company specializes in facilitating workshops, training programs, novel & innovative research projects, and online courses in technologies of bioinformatics & life science. The company is registered under the Ministry of MSME (Micro, Small, and Medium Enterprises), Government of India, with the registration number UDYAM-UP-01-0019151. Recently, BDG Lifesciences, India has authorized BBR Group Pty Ltd., Australia (ACN 608 550 849), to operate its programs in Australia & New Zealand.
With a focus on practical application of technology, where participants work on their own computer/laptop on software/servers,  BDG LifeSciences has been a leader in the sector for the last 14 years.
Since its inception, BDG LifeSciences has successfully educated a diverse range of participants globally, including students, scientists, faculty members, professors, and corporate executives.

To view the pictures of our previous events click here-1 and click here-2. To view, the listing of upcoming events kindly click here and our previous workshops can be viewed here. To view the video feedback of our previous events kindly visit our YouTube Channel

Innovation & creativity is an integral part of BDG Lifesciences and we always launch new programs on the newest topics. Now advancing in the technology and as per the industry demand we have launched a 3-day complete hands-on Online Training Program in Artificial Intelligence & Machine Learning in Drug Discovery.

OVERVIEW

This course introduces machine learning (ML) techniques and their applications in drug discovery. Students will explore how ML can accelerate drug development by predicting molecular interactions, optimizing drug candidates, and analyzing biological data.

Video recording of each session will be provided at the end of the session to give the user a unique learning experience. On successful completion of the course participation certificate will be awarded.

COURSE STRUCTURE: 
Module 1: Introduction to Machine Learning in Drug Discovery (Day 1)

• Overview of drug discovery process
• Role of AI/ML in drug development

Practical:

• Intro to Weka

Module 2: Data Preparation and Feature Engineering (Day 2)

• Types of biological data (chemical structures, gene expression, etc.)
• Feature extraction from molecular structures

Practical:

• Building datasets with PubChem
• Molecular descriptor calculation using PaDEL

Module 3: Supervised Learning for Drug Discovery (Day 3)

• Classification models (Random Forests, SVMs)

Practical:

• Developing a ML model for predicting biological activity using Weka

LEARNING OUTCOME:
Participants will apply the knowledge from the course to a real-world drug discovery problem, such as predicting bioactivity or designing a drug candidate for a given target.

By the end of the course, participants will:

• Understand the role of ML in accelerating drug discovery.
• Be proficient in using ML models for molecular data analysis.
• Build, evaluate, and deploy ML models for predictive tasks in drug discovery.

TOOLS:

• Databases: PubChem
• Machine learning tool: PaDEL, WEKA

TARGET AUDIENCE

Student: Bachelor, Masters, PhD, MBBS, MD students as well as Faculty and Professors from Microbiology, Biochemistry, Biotechnology, Immunology, Medicine, Pharmacy, Pharmaceutical Chemistry, Biomedical Technology, Genetics, Bioinformatics, Plant Science and Life Sciences.

Professionals: Resident Doctors, Biotechnology, Bioinformatics, Medicine and Pharmaceutical scientists from industry, academia, and regulatory agencies. Hands-on exercises will be performed individually using software tools on your own laptops. (no prior experience required).

T & C

• It is recommended to provide GMAIL email address.
• Video recording of each session will be provided at the end of the session to give the user a unique learning experience.
• Interactive training sessions will be conducted on Google Meet/Zoom so to give users a better learning experience.
• As it is with a LIVE TRAINER hence practical application, i.e., the experiments/tasks to be performed can be done in the best explainable manner.
• In this Online Workshop, there will be a LIVE trainer who will solve queries along with training.
• Make sure you register under the right category. If you register under the wrong category then your registration will be invalid and NO REFUND WILL BE MADE IN THIS CASE. This is your mistake and the company is not responsible for it.
• To avoid this do read the description of the ticket before selecting and proceeding with payment.
• You need to upload your professional ID which can be your Student ID Card or Research Institute ID Card or Company ID Card.
• The certificate will be issued as per the details which you provide in the registration form while registering before payment.
• Once you register relax we will send you the meeting link after the workshop registration gets over.
• The program is SELF-PACED.
• After each session video of that particular session will be shared with you so you can go through as many times as you want and perfect yourself in the topics & tasks.
• If you miss any session then NO PROBLEM you can still perform the tasks by going through the video of that particular session.
• We want to make sure that you learn properly hence the training certificate will be given ONLY on successful completion of all the tasks given by the trainer.
• The certificates of all our Online programs are sent by email(softcopy) which has a unique barcode. You can take a print of that on heavy cardstock or photo paper and get it laminated if required.
• The registration is NON-REFUNDABLE and NON-TRANSFERABLE.
• BDG Lifesciences reserves the right of admission in all our programs.
• If you are removed or your registration is canceled then there will be no answer to that. We have our own reasons for such an act of ours
• If we do not wish to give this workshop to any participant then we will refund their amount. 
• You should also read the Terms & Conditions page as well as the FAQs page.