Applying ML/AI to Drug Development with Anil Kane
Notas del episodio
Dr. Anil Kane, Global Head of Technical & Scientific Affairs at Thermo Fisher Scientific, joins Ross Katz to discuss how AI, machine learning, and digital tools are reshaping drug development. From predictive modeling for formulation to digital manufacturing efficiencies, discover how data-driven approaches are reducing time, cost, and complexity in pharma innovation.
What You'll Learn in This Episode:
>> How predictive modeling eliminates trial-and-error in drug formulation
>> The role of AI/ML in improving manufacturing efficiency and reducing downtime
>> How Thermo Fisher’s ASAP program accelerates stability testing
>> The future of digital transformation in pharma, including OpenAI partnerships
>> Where human expertise fits in a digitally enhanced development pipeline
Meet Our Guest
Dr. Anil Kane is the Executive Director and Global Head of Technical & Scientific Affairs at Thermo Fisher Scientific, where he oversees a global team supporting drug development, scale-up, and technical strategy across sites in North America and Europe.
About The Host
Ross Katz is Principal and Data Science Lead at CorrDyn. Ross specializes in building intelligent data systems that empower biotech and healthcare organizations to extract insights and drive innovation.
Connect with Our Guest:
Connect with Us:
- Follow the podcast for more insightful discussions on the latest in biotech and data science.
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- Connect with Ross Katz on LinkedIn
Sponsored by…
This episode is brought to you by CorrDyn, the leader in data-driven solutions for biotech and healthcare. Discover how CorrDyn is helping organizations turn data into breakthroughs at CorrDyn.