With the right skills, suppliers, and foresight, the adoption of AI techniques is shown to accelerate drug pipeline development. To carry forward this important discussion, DGE is organizing the AI & Machine Learning for Drug Development Summit on August 25-26, 2022, as a virtual event.
The event is hosted by Dynamic Global Events (“DGE”), a Life Science leader in organizing B2B events. The global event company caters to the dynamic informational and networking needs of the Pharmaceutical, Biotechnology, Healthcare, Medical Devices, and allied industries.
Pharmaceutical, biotech, and medical device professionals are invited to be a part of this event. Eminent industry heads and experts will explain how AI and ML can accelerate drug design, target identification, lead optimization, and early safety assessments. Attendees will also learn about the challenges to streamlining AI concepts into a market-leading reality, and the associated expertise required.
As per a report from Accenture, by the year 2026 big data will, in conjunction with machine learning and artificial intelligence, generate over $150 billion annually for the life science sector.
Primary Topics Of Discussion:
- Adopting proven AI and ML techniques to speed up timelines and allow for faster data gathering
- Integrating effective technologies into the design to accelerate action items
- Improving processes by using innovative ways to reduce workload and cost efficiencies
- Establishing effective vendor management procedures
- Dealing with the difficulties, and learningkey lessons, for post-COVID AI growth
- Discovering AI/ML Drug Development Methodologies in Oncology
The event commences with the chairperson’s opening remarks, followed by a discussion on processing healthcare data to a sustainable digital transformation using semantic knowledge. Other important topics include harnessing data for real-world evidence to increase end-to-end drug development and values.
Experts will also offer insights into learning the underlying computational methodologies that are broadly applicable and which can easily extend to many other areas of digital medicine. They will also offer tips on how to speed up use of AI in your organizational Infrastructure. Attendees will learn how AI, machine learning, deep learning, and big data analytics, are evolving to be a critical aid to precision medicine. Finally, attend the summit to learn how to develop truly effective strategies for collaboration, recognizing partnership potential, and developing better drugs.
To learn more please visit https://nnw.fm/boXst.
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