INTRODUCTION
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.
Innovation & Creativity is the core part of BDG Lifesciences and as per the increasing demand advancing in the technology we have launched a 5-day Online Technical Training in Artificial Intelligence in Precision Medicine. It will be an extensive 5-day training program in which every day 120 minutes interactive training sessions will be conducted to give the user a unique learning experience. VIDEO RECORDING WILL BE PROVIDED. On successful completion of the course participation certificate will be awarded.
Unlock the potential of AI in transforming precision medicine in this 5-day hands-on workshop. Explore cutting-edge tools and techniques to analyze multi-omics data, predict disease risks, design personalized therapies, and optimize patient outcomes. Gain practical experience with AI-driven approaches to revolutionize healthcare and tailor treatments to individual genetic profiles.
Course Overview
TOPICS/MODULES COVERED IN THIS TRAINING:
Introduction to Precision Medicine and AI
- Overview of precision medicine principles and goals.
- Role of AI in revolutionizing personalized healthcare.
- Ethical considerations and challenges in AI-driven precision medicine.
AI for Multi-Omics Data Integration
- Understanding genomics, transcriptomics, proteomics, and metabolomics.
- Techniques for integrating and analyzing multi-omics datasets.
- Case studies: AI applications in multi-omics-based disease research.
Disease Risk Prediction and Stratification
- Machine learning models for predicting disease risks.
- AI approaches for patient stratification based on genetic and clinical data.
- Practical implementation of disease classification pipelines.
Personalized Drug Discovery and Treatment Optimization
- AI in identifying patient-specific therapeutic targets.
- Precision dosing and pharmacogenomics.
- Tools for designing individualized treatment plans.
AI-Driven Biomarker Discovery
- Methods for identifying diagnostic, prognostic, and predictive biomarkers.
- Feature selection and dimensionality reduction for biomarker discovery.
- Real-world examples: AI-identified biomarkers in precision medicine.
Clinical Decision Support Systems (CDSS)
- AI models in real-time clinical decision-making.
- Applications of natural language processing (NLP) in electronic health records.
- Integrating AI tools into clinical workflows.
Future Trends and Innovations in AI for Precision Medicine
- Emerging technologies such as federated learning and digital twins.
- Opportunities for precision medicine in rare and complex diseases.
- Regulatory and translational aspects of deploying AI solutions.
Practical Application
Python
- For data analysis, machine learning, and deep learning models.
- Libraries: pandas, NumPy, scikit-learn, TensorFlow, Keras, PyTorch.
Jupyter Notebooks
- Interactive Python notebooks for coding, visualizations, and hands-on exercises.
DeepChem
- Open-source library for deep learning in drug discovery, particularly in genomics and cheminformatics.
AutoML Tools
- H2O.ai, Google AutoML, and TPOT for automating machine learning tasks and model optimization.
GSEA (Gene Set Enrichment Analysis)
- To analyze gene expression data for functional genomics studies.
Cytoscape
- For network analysis and visualization of gene interaction pathways.
OmicSoft
- Platform for the analysis of multi-omics data (genomics, transcriptomics, proteomics).
Bioconductor
- R-based software for bioinformatics analysis, particularly in genomics and transcriptomics.
UCSC Genome Browser
- To visualize genomic data and integrate with patient-specific omics data for precision medicine insights.
GenePattern
- A platform for machine learning-based analysis and integration of genomic and clinical data.
Sage Bionetworks Synapse
- To share and collaborate on data, models, and analyses related to precision medicine.
Cloud Platforms (Google Cloud, AWS, Microsoft Azure)
- For deploying models, storing large datasets, and running scalable AI algorithms.
TensorFlow/Keras
- For building deep learning models for precision medicine applications, particularly in genomics and clinical data analysis.
Learning Objectives
OUTCOME [WHAT PEOPLE WILL LEARN]:
By the end of this training, participants will:
Understanding Precision Medicine
- Learn the principles of precision medicine and its role in personalized healthcare.
- Understand how AI is transforming the landscape of disease prediction, treatment, and patient care.
Data Integration and Analysis
- Gain hands-on experience in integrating multi-omics data (genomics, transcriptomics, proteomics, etc.).
- Learn techniques for data preprocessing, feature selection, and dimensionality reduction for high-quality analysis.
AI Models for Disease Prediction
- Understand how machine learning and deep learning models predict disease risks and outcomes.
- Learn to design predictive models for personalized treatment plans based on genetic, clinical, and lifestyle data.
Clinical Decision Support
- Develop expertise in using AI for real-time clinical decision-making.
- Learn to build and apply clinical decision support systems (CDSS) in healthcare settings.
Biomarker Discovery and Validation
- Master techniques for discovering and validating biomarkers for disease diagnosis, prognosis, and treatment response.
- Understand the role of AI in identifying novel biomarkers using omics and clinical data.
Personalized Drug Discovery
- Learn how AI can be applied to drug discovery, focusing on patient-specific therapeutic targets.
- Gain insights into AI-driven pharmacogenomics and drug response prediction models.
Hands-on Experience with AI Tools
- Get practical experience with Python, machine learning libraries (TensorFlow, scikit-learn), and deep learning frameworks.
- Work with cloud platforms (AWS, Google Cloud) and tools like AutoML for efficient model building.
Translational Aspects of AI
- Learn about the challenges and opportunities in implementing AI solutions for precision medicine in real-world healthcare settings.
- Understand regulatory, ethical, and practical considerations for deploying AI models in clinical practice.
Emerging Trends and Technologies
- Explore the latest advancements in AI for precision medicine, such as federated learning, digital twins, and AI-powered drug discovery.
- Stay updated on the future of AI in healthcare and its potential to revolutionize patient care.
DURATION [IN DAYS & TIME SPENT FOR EVERYDAY SESSION]: 5 days ( 2hrs / day)
SYSTEM REQUIREMENT [LIST THE SYSTEM REQUIREMENT]:Laptop or PC with 4GB RAM
PRE-REQUISITES [LIST ANY PRIOR KNOWLEDGE REQUIRED]:Not needed
Target Audience
This training is ideal for:
1. Students
- Including undergraduate and postgraduate students studying life sciences, medical sciences, and related fields.
- Medical and pharmaceutical students who are exploring AI in Drug Discovery, genetic engineering and genomic research
- Ph.D. candidates specializing in molecular biology, bioinformatics, biotechnology, or similar disciplines..
2. Academicians
- Faculty and educators seeking to integrate AI and genomic analysis into their curriculum.
- Researchers looking to apply AI techniques in experimental and computational genomics.
3. Industry Professionals:
- Individuals from fields such as microbiology, biochemistry, biotechnology, immunology, medicine, pharmacy, pharmaceutical chemistry, biomedical sciences, genetics, and bioinformatics.
- Resident doctors, bioinformaticians, pharmaceutical scientists, and professionals in academia, industry, or regulatory agencies aiming to enhance their skills in AI-driven genomics and personalized medicine.
Methodology
The training combines interactive lectures, hands-on activities, and real-world case studies. Participants will use tools like Python, TensorFlow, GSEA, and cloud platforms for analyzing and interpreting genomic and clinical datasets.
Why You Should Attend
Stay ahead in the evolving field of AI in precision medicine by mastering practical techniques for disease prediction, biomarker discovery, and personalized healthcare. Gain industry-relevant skills and learn from experts to enhance your career prospects in this cutting-edge domain.
Why Choose BDG LifeSciences for this Training?
1. Experience and Credibility: BDG LifeSciences, with over 14 years of expertise, is a market leader in bioinformatics course training and workshops.
2. Global Reach: Programs are accessible by participants from all around the world, and the curriculum is customized to international standards.
3. Hands-On Learning: The emphasis on practical application ensures that participants may instantly apply their knowledge.
4. Expert Advice: Training is provided by professionals with substantial knowledge of bioinformatics and related technologies.
How to Register
To secure your spot:
- Click on Register Now button and proceed.
- After registering, please email to info@bdglifesciences.com with your preferred start date and choose one of the following time slots: 6:30 AM–8:30 AM India time or 8:30 PM–10:30 PM India time.
- Kindly note that the time of the sessions will be 90-120 minutes every day.
- Once you register, please allow us 2-5 working days to make your training schedule, i.e. dates and time.
- For any further queries, feel free to email us at info@bdglifesciences.com
Previous Events & Testimonials
- Gain insight into our past trainings:
- Upcoming Programs: Explore other upcoming events here.
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T & C
- Please provide a GMAIL ID for registration as the recorded video session will be provided on YouTube. Kindly provide that email ID by which you use YouTube.
- Since the training is a one-on-one live session with a trainer on Zoom, you'll need to attend, allowing for practical hands-on learning, real-time explanations, and direct query resolution for a better learning experience.
- At the end of each session, you will receive a video recording, allowing you to review the steps as many times as needed to enhance your learning and master the topics and tasks.
- BDG Lifesceiences (OPC) Private Limited is registered under Ministry of MSME(Micro, Small and Medium Enterprises), Government of India with Registration Number:UDYAM-UP-01-0019151 hence the certificate will be provided of it. BBR Group Pty Ltd, Australia (ACN-Australian Company Number-608 550 849) has the franchisee of BDG Lifesciences to run its programs in Australia & New Zealand.
- The certificate will be issued as per the details which you will provide in the registration form while registering before payment.
- 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 (OPC) Pvt. Ltd., India and BBR Group Pty Ltd Australia reserve 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 training to any participant then we will refund their amount.
- You should also read the Terms & Conditions page as well as the FAQs page. For any assistance kindly chat with our AI Assistant BioBot on the website www.bdglifesciences.com
