Machine learning has been revolutionizing all fields and has helped make waves in the research and development of drugs, identifying drug properties, understanding patterns, and deriving intelligent results. Drug development and its lifecycle are very tedious and time-consuming. With the right application of machine learning algorithms, biotech and life science companies can fast-track drug development and pace themselves to newer discoveries. With the advent of large language models and neural networks, there are specific use cases, where machine learning proves highly effective. Even while there is much research going on and in progress, the potential impact of applying machine learning is huge to the needs of the pharmaceutical and life sciences sector.
AREA COVERED
- Introduction to machine learning
- How does an ML model work?
- Applications of ML in pre-clinical research
- Deep dive into ML use cases
- Key takeaways and learnings
- Avoiding data-specific pitfalls
LEARNING OBJECTIVES
- Understand how a machine learning model works
- Understand ongoing research in the field of pre-clinical research and machine learning
- Discuss use cases where machine learning algorithms will help
- Advantages of machine learning in pre-clinical research
- Companies working on fast-tracking pre-clinical research
- Key takeaways
WHO WILL BENEFIT?
- Machine learning enthusiasts
- Business Analysts
- Business consultants
- Life science leaders
- Regulatory compliance experts
- Introduction to machine learning
- How does an ML model work?
- Applications of ML in pre-clinical research
- Deep dive into ML use cases
- Key takeaways and learnings
- Avoiding data-specific pitfalls
- Understand how a machine learning model works
- Understand ongoing research in the field of pre-clinical research and machine learning
- Discuss use cases where machine learning algorithms will help
- Advantages of machine learning in pre-clinical research
- Companies working on fast-tracking pre-clinical research
- Key takeaways
- Machine learning enthusiasts
- Business Analysts
- Business consultants
- Life science leaders
- Regulatory compliance experts
Speaker Profile
Over 17 years of experience in life sciencesPrevious experience working with Pwc,KPMG and Deloitte,Oracle,MetricStream,Infosys Consulting, HTC and Siemens ResearchActive member of ISACAProfessional associations with ISPE,OCEG,GARP,Carnegie Mellon Swartz Center for entrepreneurshipMaster in Software Engineering, Carnegie Mellon University, Pittsburgh,USBachelors in Computer Science, University of Madras,India
Upcoming Webinars
Managing Difficult Employee Conversations
I-9 Audits: Strengthening Your Immigration Compliance Strat…
Dealing With Difficult People In Life & Work
Predictive Accounting: Driver-Based Budgeting And Rolling F…
Pay Equity Changes for 2024! What Employers Need to Know to…
Leader Branding: How to Communicate with Confidence to Attr…
Project Management for Non-Project Managers - How to commun…
Design Verification, Validation and Testing for Medical Dev…
Data Integrity and Privacy: Compliance with 21 CFR Part 11,…
FFIEC BSA/AML Examination Manual: What Compliance Officers …
Why EBITDA Doesn't Spell Cash Flow and What Does
Harassment, Bullying, Gossip, Confrontational and Disruptiv…
Employee or Independent Contractor – U.S DOL Announces 2024…
How to Survive an Emotionally Toxic Workplace
Best Practices in Complaint Management for Regulatory Compl…
Human Factors Usability Studies Following ISO 62366 and FDA…
Ensuring Safe and Effective Pharmaceutical Products: A Comp…
Gossip-Free: Leadership Techniques to Quell Office Chatter
Updated Metro 2®, e-OSCAR and the New Tougher FCRA/CFPB Com…
Embracing Diversity and Inclusion in Talent Acquisition
Form W-9 Compliance to Avoid Penalties: TIN Verification, B…
Tattoos, hijabs, piercings, and pink hair: The challenges …
Understanding and Analyzing Financial Statements
Divorce, Adoption and Other Special Tax Topics
Design History File (DHF), the Device Master Record (DMR) a…
With Mandatory Paid Leave Gaining Ground Is It Time To Do A…
Setting up Quality System for FDA Regulated Products: Tips …
Is Your Culture Working For or Against Your Success? If You…
Marketing to Medicare or Medicaid Beneficiaries - What You …
The Five Cs Of Commercial Credit: The Basic Elements Of Cre…
Sunshine Act Reporting - Clarification for Clinical Research
Documenting Misconduct that Will Stand Up in Court
Stress, Change And Team Resilience Through Humor: An Intera…
FDA Regulation of Artificial Intelligence/ Machine Learning
Managing Toxic & Other Employees Who have Attitude Issues
Excel - Lists and Tables - A Beginner's Guide to Managing L…
Pharma 4.0: Next Generation Technology Approach to GxP Prod…
Patient Gifts, Discounts and Freebies: What You Can and Can…
Managing Complex Projects - Project Management
All About Civility - Eliminating a Culture of Gossip Rumors…
From Challenges to Compliance: Understanding Dietary Supple…
Improving Employee Engagement & Retention Through Stay Inte…
How To Conduct An Internal Harassment And Bullying Investig…