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BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=Asia/Kolkata:20210913T150000
DTEND;TZID=Asia/Kolkata:20210916T180000
DTSTAMP:20210407T062300
UID:MEC-91f5738a827405b0f0bd80af1b7e386c@biiworld.com
CREATED:20210407
LAST-MODIFIED:20210407
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:AI in Pharma: The New Frontier
DESCRIPTION:\nReal Time Online Delivery – Live Training Sessions\nVirtual Attendance for 4 Days Training\nGuided Learning Hours – 16\nCase Examples, Q &amp; A,\nPre-Course Access: Orientation Session Coupon, Pre-Event Questionnaire, Presentation Slide Deck\n\nCourse Overview\nArtificial Intelligence in Drug Discovery and Development is one of the hottest fields in the pharmaceutical industry today. Great strides have been made in drug discovery and new applications of AI are emerging for drug development, offering the promise of faster development, lower cost, more innovative drug designs, and a higher success rate of drug development programs.\nThe 4 Day Online Course will cover methods and case studies that have been successful in discovering drugs, and new and emerging ideas and concepts for applying AI to drug development.\nThe Daily Course Sessions will discuss some of the most useful practices and procedures that have been used successfully, some of the best new approaches coming from the academic world, the data sources for AI in drug discovery and development, the potential gains, the pitfalls, and the state of the art.\nThe course will progress through an overview of AI methods and how they are applied to the drug discovery and development space, the application of AI to target and lead discovery, and the potential applications for AI in preclinical and clinical drug development.\nTrainer’s Profile\nOur Expert Trainer has 30+ years of collective experience and is on the advisory board or board of directors of a number of companies deploying novel technologies in life sciences. Chairperson of a Research Triangle Company from Duke University that applies AI to drug discovery &amp; development.\nAn established serial entrepreneur of disruptive ventures; a strong business development and capital raising background with a technical background in Artificial Intelligence and Bio-IT. Started 6 companies, funded 4 of them and exited 3. Twice been named “Entrepreneur of the Year”, has advised 7 venture capital funds and over 20 early-stage ventures. His expertise is in launching new technology ventures and new technology products.\nOur Expert is an adjunct professor of engineering and entrepreneurship, three degrees in engineering (with a focus in bioinformatics and AI), an MBA and a law degree.\nKey Takeaways\n\nMethods in AI and how to apply them\nData sets and sources of data for AI in drug discovery &amp; development\nAI applied to target and lead discovery &amp; lead optimization\nPotential Applications for AI in Drug Development\nAI for Clinical Trial Design &amp; Enrollment\nAnalysis of Safety Data with AI\nDrug Repurposing with AI\nPrecision medicine with AI\n\nWho Should Attend\n\nDrug Development Managers\nDrug Discovery Scientists\nClinical Trial Project Managers\nPreclinical Research Directors\nPharmaceutical Business Development Executives\nBiotechnology Entrepreneurs\nVenture Capitalists in Biotechnology\nPharmaceutical Executives\nEarly Career Pharmaceutical Professionals\nGraduate Students Aspiring to Work in the Pharmaceutical Industry\nPharmaceutical IT Executives and Engineers\nBioinformatics Scientists\nCRO Project Managers\nTraditional Drug Development Scientists Who Want Exposure to AI\nProject Managers\nAny executives that would like to expand their knowledge in AI\n\n\n\nFor participation details contact\nSamuel Isaac\nsamuel.isaac@biiworld.com ( mailto:samuel.isaac@biiworld.com )\n+1 786 633 1223(Canada)\nFill the details below to request your Brochure\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n×\n
URL:https://biiworld.com/trainings/ai-in-pharma-the-new-frontier/
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